Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Unlock Your Potential
Generate Job-Optimized Resume
One Click And Our AI Optimizes Your Resume to Match The Job Description.
Is Your Resume Optimized For This Role?
Find Out If You're Highlighting The Right Skills And Fix What's Missing
Experience Level
Manager
Qualifications
Proven track record in managing technical programs in SaaS or engineering environments. Strong understanding of project management methodologies and agile practices. Excellent communication skills, capable of conveying complex information clearly. Ability to work collaboratively in cross-functional teams. Experience with AI technologies and digital transformation initiatives is a plus.
About the job
Cognite develops AI and data products designed to support industrial digitalization. The team applies industry knowledge and a range of AI tools, including low-code AI agents, to help organizations streamline operations and advance digital projects.
Teams at Cognite approach challenges as opportunities for growth. This mindset influences both the company’s culture and how teams collaborate.
Cognite’s long-term ambition, called the Moonshot, is to generate $100B in customer value by 2035. The company aims to transform the industrial sector worldwide by combining AI, data, and new approaches.
Location
This position is based in Bengaluru, India.
About Cognite
Cognite is a leader in industrial digitalization, focused on delivering innovative AI and data solutions that address high-impact global challenges. Our mission is to accelerate the digital transformation of industries worldwide, leveraging our rich industrial heritage and advanced AI capabilities.
Dialpad Inc. is looking for an Engineering Manager focused on AI Transformation to join the team in Bengaluru, India. This leadership role centers on guiding an engineering group as they develop AI-powered features for the company’s communication platform. The position requires someone who can set technical direction and influence how AI shapes product development. Key responsibilities Lead and mentor engineers dedicated to AI projects Direct the rollout of new AI solutions across the platform Promote creative thinking while upholding strong technical standards Support efforts to keep technology aligned with industry trends Role overview This role focuses on both people management and technical leadership. Expect to oversee the team’s progress, encourage innovation, and help integrate advanced AI capabilities into Dialpad’s products.
About Nightfall AI:Nightfall AI is an innovative platform at the forefront of data loss prevention and insider risk management, designed to safeguard sensitive information across a wide range of applications including SaaS tools, email, endpoint devices, and generative AI technologies. Trusted by hundreds of clients, from pioneering AI companies to the world's leading financial institutions, we empower organizations to pursue innovation without compromising on data security. Our cutting-edge platform automates data loss prevention, allowing security teams to focus on strategic initiatives while automatically addressing violations before they escalate into incidents.Supported by prominent venture capital firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and esteemed cybersecurity leaders, Nightfall AI is positioned for rapid growth and innovation.About the Role:We are looking for a dedicated and talented AI Engineer to join our dynamic AI Engineering team at Nightfall AI. You will collaborate with a team of exceptional engineers to design, develop, and optimize the AI models that are integral to our security solutions. This role offers the opportunity to work on the architecture and scalability of systems that underpin these models.If you have a passion for tackling complex challenges, experimenting with natural language processing architectures, and diving deep into system internals to create impactful solutions, this is an exciting opportunity to join us early in our journey and accelerate your career growth. Key ResponsibilitiesDevelop and deploy AI systems that enhance Nightfall's security offerings.Utilize Python for data analysis, experimentation with natural language and other model architectures, model benchmarking, and automation of training and deployment processes.Employ Go to create microservices that efficiently handle data ingestion and processing at scale, leveraging advanced streaming infrastructure and distributed caching techniques.Engage in cross-functional collaboration to enhance the performance and capabilities of our products.
Join Allegis Global Solutions as we establish our AI Engineering team from the ground up! We are seeking a dynamic Engineering Manager, AI Solutions to drive team health, delivery capacity, and career development for our engineering team based in India. This role focuses on people management, ensuring your team can perform at their best through effective hiring, removing obstacles, fostering growth, and cultivating a high-performance engineering culture. You will lead a diverse team of AI Solutions Engineers, AI Quality Engineers, and AI Solutions Analysts, scaling from a small group to over 20 professionals. Together, you will create intelligent agents, conversational interfaces, and reusable AI capabilities for AGS's global clientele.Key Responsibilities:Team Leadership & DevelopmentBuild and guide a high-performing engineering team (up to 20+ members)Oversee hiring, onboarding, performance management, and career developmentConduct regular one-on-ones, offer coaching, and create professional growth opportunitiesPromote a culture of ownership, continuous learning, and engineering excellenceCollaborate with the Lead AI Solutions Engineer to provide engineers with necessary technical supportDelivery ManagementGuarantee reliable delivery within agreed timelinesManage capacity planning, workload distribution, and resource allocationMonitor team health metrics and facilitate ongoing improvementProactively remove obstacles and escalate issues before they escalateBalance delivery expectations with a sustainable work paceHiring & Team BuildingImplement our hiring philosophy: prioritize software engineering fundamentals over certificationsCreate a team with complementary skills across AI/ML, data engineering, platform, and full-stack developmentConduct effective interview processes and make informed hiring decisionsOnboard new team members effectively to ensure their successStakeholder CoordinationCollaborate with the Head of AI Engineering on project priorities and roadmapCoordinate with business stakeholders regarding delivery expectationsCommunicate team status, risks, and achievements to leadershipWork across time zones with North American leadership (U.S. Eastern time overlap required)Operational ExcellenceEstablish and enhance team processes (agile ceremonies, code review, deployment)Promote the adoption of engineering best practices and standardsManage the team budget and resource planningEnsure compliance with AGS governance and security requirements
Cognite develops AI and data products designed to support industrial digitalization. The team applies industry knowledge and a range of AI tools, including low-code AI agents, to help organizations streamline operations and advance digital projects. Teams at Cognite approach challenges as opportunities for growth. This mindset influences both the company’s culture and how teams collaborate. Cognite’s long-term ambition, called the Moonshot, is to generate $100B in customer value by 2035. The company aims to transform the industrial sector worldwide by combining AI, data, and new approaches. Location This position is based in Bengaluru, India.
Role overview Jiostar seeks an Engineering Manager to lead its Generative AI Studios team in Bengaluru. This position guides engineers building an AI-powered platform designed for professional creators. The primary goal: enable creators to generate production-ready, high-quality content using advanced AI tools. Automated assessment and validation are central features of the platform. The Generative AI Studios team This group at jiostar brings together engineers who transform ambitious concepts into working products. The team quickly moves from early prototypes to scalable platforms that support ongoing growth. Experimentation and creativity shape daily work and decision-making. Engineers here build AI-enhanced systems that help creators tell their stories. Machine learning and multimedia pipelines are key components, amplifying creative voices and enabling new types of content experiences. Team members operate at the intersection of technology and creativity. The work covers end-to-end product development, exploration of new technologies, and contributions to the future of entertainment content.
We are seeking a talented AI Engineer to lead the design, evaluation, and scaling of our next generation of LLM-powered agents tailored for the healthcare sector. This role is highly technical while also being focused on product and customer needs: you will be responsible for creating datasets, conducting evaluations, enhancing model performance, and ensuring our agents provide significant value in practical workflows.As an AI Engineer, you will collaborate across Engineering, Product, and Customer teams to continually enhance the quality, reliability, and speed of our agents. Your contributions will extend beyond just building agents; you will develop the systems, metrics, and feedback mechanisms that drive continuous improvement of our agents over time.
Join Harness, the cutting-edge AI Software Delivery Platform, founded by renowned technologist Jyoti Bansal, who also founded AppDynamics, acquired by Cisco for $3.7 billion. With approximately $570 million in funding and a valuation of $5.5 billion, Harness is backed by prestigious investors like Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. As artificial intelligence revolutionizes code generation, the focus has shifted to optimizing post-code processes such as testing, deployment, application security, compliance, and cost efficiency. Harness integrates AI and automation into this 'outer loop,' empowering teams to deliver software more quickly while ensuring security and governance throughout the entire delivery lifecycle.The Harness Platform utilizes Harness AI and the Software Delivery Knowledge Graph, providing deep contextual insights and intelligent automation throughout the software delivery process, with governance and policy-driven controls embedded across the platform.In the past year alone, Harness has facilitated over 185 million deployments, 82 million builds, 18 trillion feature flag evaluations, 8 million security scans, 9.1 billion optimized tests, and protected 3 trillion API calls, all while managing $2.8 billion in cloud expenditures. Clients like United Airlines, Morningstar, and Choice Hotels have experienced up to a 75% acceleration in release timelines, a 60% reduction in cloud costs, and a tenfold increase in DevOps efficiency.With a diverse, global team spread across 14 offices in 25 countries, Harness is at the forefront of shaping AI software delivery, and we are actively seeking exceptional talent to help us accelerate our growth.
About Nightfall:Nightfall is an innovative, AI-driven platform focused on data loss prevention and insider risk management, safeguarding sensitive information across various SaaS applications, Generative AI tools, email systems, endpoint devices, and beyond. Trusted by hundreds of clients, from groundbreaking AI startups to major financial institutions, Nightfall excels at detecting and halting data exfiltration on a large scale. Our platform empowers organizations to innovate without the fear of losing intellectual property or jeopardizing customer information. With automated remediation capabilities, security violations are addressed proactively before escalating into incidents, while end-users receive real-time training and support to rectify any violations they may introduce.Backed by top venture capital firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and Pear VC, Nightfall is further strengthened by cybersecurity veterans including Enrique Salem (former CEO of Symantec), Frederic Kerrest (founder of Okta), and others.About the Role:We are seeking an outstanding technical leader to join our dynamic team at Nightfall. In the capacity of Lead Applied Scientist within the AI Engineering division, you will be responsible for developing machine learning and natural language processing models, as well as Generative AI solutions to enhance our Data Leak Protection (DLP) and other security offerings. You will spearhead efforts in researching and implementing machine modeling techniques to address security challenges, providing mentorship to both ML and Backend engineers as they move systems into production. Your contributions will be vital in shaping the long-term architecture of our AI Platform.This is a hybrid position (2 days in the office) based in our Bengaluru office, offering an ideal opportunity to pursue your passion for Data Science and ML engineering.Responsibilities:Engage in fast-paced, hands-on execution, collaborating with the team to achieve clear business objectives and deliver results effectively.Employ creative statistical and machine learning modeling techniques to address complex problems in enterprise security and data leak detection, researching the most accurate and cost-efficient solutions.Develop, train, and optimize NLP, large language, and other models for deployment in extensive, real-time environments.Collaborate with the team to transition model prototypes into production through all phases of the ML lifecycle: system architecture, data generation, training, and deployment.
About 66degrees 66degrees helps enterprises use AI, cloud, and data solutions to solve complex business problems. The company brings together experts from leading firms to help organizations turn chaotic data into valuable assets and streamline complexity. 66degrees aims to create workplaces where autonomous systems support smarter decisions and unlock human potential. The culture values teamwork, innovation, and professional growth. Role Overview: Technical Delivery Manager This Technical Delivery Manager role suits someone who has moved from hands-on software engineering into a leadership position focused on delivery. The job calls for both technical depth and strong project management. The manager works closely with engineering teams to guide execution, uphold quality, and deliver practical solutions. Main Responsibilities Direct end-to-end delivery of software engineering projects, from planning through release. Set project scope, timelines, and allocate resources for predictable results. Collaborate with engineering teams on system design, architecture, and technical choices. Coordinate work across backend, frontend, and cloud-based systems. Ensure adherence to engineering best practices, code quality, and scalable architecture. Lead Agile ceremonies: sprint planning, daily stand-ups, reviews, and retrospectives. Track and improve team velocity, predictability, and delivery quality. Identify and address risks, dependencies, and blockers to maintain progress. Work with stakeholders to turn business requirements into actionable technical plans. Communicate project status, risks, and results to leadership and stakeholders. Promote ongoing improvement in delivery processes, Agile practices, and team performance. Location Bengaluru or Pune
About AlphaSense:AlphaSense is the trusted market intelligence platform used by leading companies to eliminate uncertainty in their decision-making. Our sophisticated AI-driven search technology extracts actionable insights from a vast array of reliable content, including equity research, company filings, event transcripts, expert calls, news articles, trade journals, and proprietary research from our clients.In 2024, AlphaSense's acquisition of Tegus enhances our commitment to empowering professionals with AI-driven market intelligence. Together, we are set to drive innovation and expand our content offerings, enabling users to glean deeper insights from an extensive range of resources. With over 6,000 enterprise customers, including a significant portion of the S&P 500, AlphaSense is headquartered in New York City and employs more than 2,000 people globally, with offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Join our dynamic team!About the RoleWe are in search of a skilled engineering leader who will revolutionize how we design and operate AI systems at scale. You will collaborate with a team of exceptional engineers dedicated to building state-of-the-art AI applications, ensuring that our innovations operate flawlessly for our enterprise clientele.This is a remarkable opportunity for a seasoned engineer who excels in developing robust platforms, mentoring talented teams, and driving engineering excellence. You will have the autonomy to shape our technical architecture while engaging with cutting-edge AI models and systems that facilitate market intelligence for some of the world’s foremost companies.What You’ll DoArchitect for Scale: Create and implement distributed systems that facilitate AI agents handling thousands of requests per hour, ensuring reliability, performance, and cost-effectiveness.Build Engineering Excellence: Develop comprehensive testing strategies, observability systems, and CI/CD pipelines that preemptively identify issues before they affect customers.Lead Through Expertise: Guide a team of intelligent, motivated engineers, sharing your expertise in developing production systems that maintain high reliability.
Join Our Innovative TeamAbout EmaEma is at the forefront of developing the world's largest agentic AI platform aimed at transforming enterprise productivity. Our cutting-edge technology empowers organizations to delegate repetitive tasks to Ema, the Universal AI employee, achieving remarkable efficiency improvements of up to 10 times. Founded by former leaders from Google, Coinbase, Flipkart, and Okta, we possess extensive expertise in product development and scaling. Our team consists of exceptional engineers hailing from prestigious companies such as Google, Microsoft Research, Facebook, Square, and Coinbase, as well as graduates from renowned institutions like Stanford, MIT, UC Berkeley, CMU, and the IITs.Having raised over $60 million from leading investors, including Accel, Naspers/Prosus, Section32, SCB10X, Sozo Ventures, Hitachi Ventures, and notable angel investors like Sheryl Sandberg, Jerry Yang, and Dustin Moskovitz, Ema is headquartered in Silicon Valley with an additional hub in Bangalore, India. This hybrid role requires in-office attendance three days a week.Position OverviewAs the Engineering Lead within our Customer Value Engineering (CVE) team, you will play a crucial role in realizing our mission to reshape the future of work through the Universal AI Employee. You will lead the design of scalable, secure, and observable AI-driven workflows, translating customer aspirations into enterprise-grade solutions that yield measurable results. Your responsibilities will encompass everything from discovery workshops to production deployments.Key Responsibilities:Workflow Discovery & Solution Design: Facilitate discovery workshops to gain insights into human workflows, pain points, data flows, and integration requirements. Transform business goals into comprehensive AI architecture blueprints that address integration, data management, security, and success metrics. Create and update “AI-Employee” design documents to guide the implementation process from blueprint to service level objectives (SLOs).Data Integration & Action Building: Utilize declarative connectors and APIs to ingest, normalize, and secure data from various enterprise systems (CRM, ERP, ATS, etc.). Develop and maintain reusable action blocks using REST/SOAP/RPA and seamlessly integrate them into agent-based workflows.Agentic Reasoning & Prompt Engineering: Construct and compose reasoning agents using state-of-the-art frameworks (e.g., LangChain, Semantic Kernel). Optimize prompts, establish memory management protocols, and define mesh topologies to facilitate robust agentic reasoning. Oversee prompt evaluation, experimental design (A/A, A/B), and rollback strategies.Human-AI Interaction: Define and implement user interaction paradigms to ensure seamless integration between human users and AI systems.
About AlphaSense: AlphaSense empowers the world's leading companies to eliminate uncertainty in decision-making. Our AI-driven market intelligence platform delivers critical insights from a trusted array of public and private content, including equity research, company filings, event transcripts, expert calls, and news. Our commitment to innovation was further strengthened by the acquisition of Tegus in 2024, enhancing our ability to provide unparalleled insights and accelerating our growth. With over 6,000 enterprise clients, including many from the S&P 500, AlphaSense, founded in 2011 and headquartered in New York City, employs more than 2,000 individuals worldwide across various offices including the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Join us in making a difference!About the RoleWe are in search of a seasoned engineering leader to redefine the construction and operation of AI-powered systems at scale. In this role, you will collaborate with a team of exceptional engineers who have developed state-of-the-art AI applications. Your goal will be to instill world-class engineering practices that ensure our innovations deliver consistent reliability for our enterprise customers.This position offers a unique opportunity for an experienced engineer passionate about building resilient platforms, mentoring talented teams, and fostering engineering excellence. You will have significant autonomy to influence our technical architecture while engaging with cutting-edge AI models and systems that drive market intelligence for the leading companies globally.What You Will DoArchitect for Scale: Design and deploy distributed systems that enable AI agents to handle thousands of requests per hour, ensuring optimal reliability, performance, and cost-effectiveness.Build Engineering Excellence: Develop thorough testing strategies, observability frameworks, and CI/CD pipelines that proactively identify issues before they reach customers.Lead Through Expertise: Guide a team of bright and motivated engineers, sharing your expertise in developing production systems that maintain high availability.
Full-time|₹1.2M/yr - ₹2.4M/yr|On-site|Bengaluru, Karnataka, India
Join a leading team focused on innovation in AI technology!We are looking for an accomplished Director of Conversational AI Engineering to shape the future of AI-driven products for one of our prestigious clients at Weekday-1. With a competitive salary range of INR 1,00,000 - 2,00,000 per month, this full-time role is based in Bengaluru, Karnataka.This pivotal position involves crafting and executing a comprehensive conversational AI strategy, enhancing prompt engineering, and ensuring exceptional AI interactions across various applications. The ideal candidate will have a robust technical background in Natural Language Processing (NLP) and large language models, coupled with exemplary leadership skills to guide a talented team of engineers.
Full-time|₹3M/yr - ₹4M/yr|On-site|Bengaluru, Karnataka, India
Join our innovative team as a Senior Generative AI Engineer for one of Weekday's esteemed clients.Salary range: ₹30,00,000 - ₹40,00,000 per annumMinimum Experience: 4 yearsLocation: BengaluruJob Type: Full-timeIn this pivotal role, you will spearhead the AI component of our product, crafting intelligent functionalities tailored for enterprise clients. Your focus will be on delivering robust, production-ready AI systems that prioritize reliability, observability, and comprehensive evaluations. You will oversee the complete process from model development to user interface, rolling out impactful features such as the CS Copilot and advanced document understanding capabilities.Key ResponsibilitiesDevelop and lead the CS Copilot initiative, focusing on speech-to-text (STT) pipelines, real-time transcription, and LLM-based recommendations.Design LLM-enabled document comprehension features to derive structured data from unstructured enterprise documentation.Oversee the end-to-end management of AI feature user interfaces, integrating model functionalities seamlessly.Create and uphold a robust evaluation framework to assess AI feature quality and identify potential regressions.Guide model selection and integration strategies, balancing performance with cost-effectiveness.Ensure the reliability of the AI platform by establishing observability, fallback protocols, and graceful degradation methods.Work collaboratively with product teams, customer success representatives, and full-stack engineers to improve usability and foster user trust.
Join Saviynt, a leading identity platform committed to empowering and protecting organizations around the globe. As the Senior Engineering Manager for our innovative AI Security team, you will spearhead the development of cutting-edge AI security solutions that cater to some of the world’s most prominent enterprises. In an era defined by rapid digital transformation and heightened cyber threats, our Enterprise Identity Cloud provides unmatched visibility and control, allowing organizations to safeguard their systems while ensuring users have the right access to the tools they need to excel in their roles. Your Key Responsibilities: • Lead and mentor a dynamic team in the design, implementation, testing, and deployment of end-to-end workflows for our AI security posture product.• Collaborate across diverse agent platforms, including AWS Bedrock, Google Agent Space, and Salesforce AgentForce to develop foundational solutions leveraging cloud, SaaS, and AI design patterns.• Utilize AI technologies and frameworks, such as CUA agents, LLMs, and agentic frameworks like ADK and Langchain to enhance security protocols.• Create and maintain secure, scalable, and multi-tenant software solutions optimized for major cloud infrastructures like AWS and Azure.• Serve as a technical authority and thought leader, helping to shape product strategy and engineering practices.• Drive ongoing enhancements in engineering methodologies, tooling, and operational reliability.• Collaborate with cross-functional teams to define software architecture and design.• Responsible for testing and deploying applications and systems.• Capable of initiating programs from the ground up as well as managing existing services.• Develop comprehensive documentation throughout the project lifecycle.
About AlphaSense: AlphaSense is the trusted partner for the world's most advanced companies, empowering them to eliminate uncertainty in their decision-making processes. Our AI-driven market intelligence platform delivers crucial insights from a wide array of reliable content, including equity research, corporate filings, event transcripts, expert calls, news articles, trade journals, and proprietary research. In 2024, AlphaSense's acquisition of Tegus further strengthens our commitment to helping professionals make informed decisions with enhanced AI-powered market intelligence. Together, we will drive growth and innovation, offering users the ability to discover deeper insights from extensive content repositories. Our platform is utilized by over 6,000 enterprise clients, including a significant portion of the S&P 500. Established in 2011, AlphaSense is headquartered in New York City, boasting a global team of more than 2,000 employees across offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Join us in our mission!About the RoleWe are looking for a skilled engineering leader who will revolutionize our approach to developing and managing large-scale AI-powered systems. You will be part of an elite team of engineers known for creating state-of-the-art AI applications, and your goal will be to implement world-class engineering practices that guarantee the reliability of these innovations for our enterprise clientele.This is an extraordinary opportunity for a seasoned engineer who excels in building resilient platforms, mentoring talented teams, and fostering engineering excellence. You will have substantial freedom to influence our technical architecture while collaborating with cutting-edge AI models and systems that drive market intelligence for leading global companies.
Join Capco as an AI Engineer and be part of a dynamic team that is shaping the future of technology in the finance sector. In this role, you will design, develop, and deploy advanced AI solutions that drive business efficiencies and enhance customer experiences. Collaborate with cross-functional teams to implement machine learning models and contribute to innovative projects that leverage data analytics.
With over 30 years of dedicated experience, Beghou Consulting empowers life sciences companies to refine their commercialization strategies through insightful analytics and cutting-edge technology. Whether it's establishing robust data analytics frameworks, crafting effective go-to-market strategies, or harnessing artificial intelligence to enhance customer engagement, Beghou is committed to elevating performance across diverse portfolios within the life sciences sector. We also integrate proprietary and third-party technology solutions to aid companies in forecasting performance, designing sales territories, managing customer data, and organizing medical and commercial data for insightful reporting.Our mission is to unite analytical expertise with innovative technology, guiding life sciences firms through the complexities of healthcare to improve patient outcomes.In this role, you will be instrumental in the design, development, and deployment of AI solutions specifically tailored for our pharmaceutical clients. You will work collaboratively with interdisciplinary teams that include data scientists, business consultants, and software developers to transform intricate life sciences challenges into AI-driven solutions.
CSQ326R35 Mission The AI Forward Deployed Engineering (AI FDE) team at Databricks is a premier, customer-centric AI team dedicated to revolutionizing AI application development. We engage in professional service projects that empower our clients to create and deploy groundbreaking AI solutions. By collaborating across various functions—including engineering, product development, and developer relations—we help shape strategic initiatives that drive innovation. We are looking for dynamic individuals with distinct skill sets to enhance our team's capabilities. If you have a passion for collaborating with clients and colleagues while staying updated on the latest advancements in Generative AI, LLMOps, and Machine Learning, this role is perfect for you. This position is fully remote. Your Impact: Design and implement innovative Generative AI solutions using our Mosaic AI research to address complex client challenges. Take ownership of rolling out GenAI applications for both consumer and internal stakeholders. Act as a trusted technical consultant to clients across diverse sectors. Represent Databricks at industry events, including the Data + AI Summit, establishing yourself as a thought leader. Work collaboratively with product and engineering teams to influence development priorities and guide the product roadmap. What We Seek: Proven experience in creating Generative AI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning, utilizing tools like HuggingFace, LangChain, and DSPy. At least 5 years of relevant experience as a Data Scientist, ideally in a consulting capacity. Strong expertise in deploying production-level Generative AI applications, with a focus on evaluation and optimizations. Hands-on experience in data science, utilizing popular ML tools such as pandas, scikit-learn, and PyTorch. Experience with production-grade machine learning deployments on platforms such as AWS, Azure, or GCP. Graduate degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience. Ability to communicate technical concepts to both technical and non-technical audiences effectively. A passion for teamwork, continuous learning, and leveraging AI to create business value. [Preferred] Familiarity with the Databricks Intelligence Platform and Apache Spark™ for processing large-scale datasets.
Our MissionAt Fiddler, we acknowledge the profound influence of AI on people's lives. Our mission is to instill trust in AI technologies. With the emergence of Generative AI and Agents, the scope of risk has expanded, complicating the assurance of effective AI applications. Fiddler empowers organizations to proactively address these challenges by deploying transparent and trustworthy AI solutions.We collaborate with AI-focused organizations to establish a sustainable framework for responsible AI practices, fostering trust with their users. AI Engineers, Data Scientists, and business teams utilize Fiddler AI to monitor, assess, secure, analyze, and enhance their AI solutions, ultimately driving superior outcomes. Our platform enables both engineering teams and business stakeholders to grasp the "what", "why", and "how" of AI outcomes.Meet Our FoundersFiddler AI was founded by Krishna Gade, an engineering leader with experience at Facebook, Pinterest, Twitter, and Microsoft, and Amit Paka, a product leader with a background at Microsoft, Samsung, PayPal, and multiple startups. We are supported by Insight Partners, Lightspeed Venture Partners, and Lux Capital.Why Become a Part of Our Team?Our team is dedicated to fostering trust in AI, enabling society to leverage its potential responsibly. Joining us means making a meaningful impact by ensuring operational transparency and security for AI applications at production scale across various industries. As an early-stage startup, we have a quickly expanding team of intelligent and empathetic individuals—doers, thinkers, creators, builders, and everyone in between. The pace of innovation in the AI and ML industry presents monumental learning opportunities. This is your chance to be a pioneer in the field.Fiddler has been recognized as a leader in AI Observability, earning multiple accolades, including being listed in the 2022 a16z Data50, 2021 CB Insights AI 100, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups, and being named a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our talented team, you will contribute to advancing the AI Observability landscape. Your Role:As a Forward Deployed Engineer, you will bring trustworthy AI to life for our clients by deploying, customizing, and optimizing complex, high-impact AI observability and agentic solutions in the field. You will be a hands-on builder and strategic partner, translating customer needs into actionable solutions.
Dec 23, 2025
Sign in to browse more jobs
Create account — see all 3,020 results
Tailoring 0 resumes…
Tailoring 0 resumes…
We'll move completed jobs to Ready to Apply automatically.