Lead Technical Expert in Natural Language Processing

Join Datadog's innovative Applied AI group, where we are redefining user interaction with our platform through cutting-edge artificial intelligence capabilities. Our teams focused on Natural Language Query (NLQ) and Command-I (Cmd-I) are leading the charge in transforming how users can effortlessly query telemetry data, troubleshoot production issues, and configure their Datadog experience using natural language and intelligent conversational agents.As an Engineering Manager I in the Applied AI division, you will spearhead a dynamic team of engineers and applied scientists dedicated to developing natural language interfaces and conversational AI systems. Your team will tackle exciting challenges including LLM-powered query translation, context-aware retrieval systems, agentic architectures, and robust evaluation frameworks. You will be instrumental in guiding technical execution, nurturing team growth, and collaborating across engineering, product, and research disciplines to deliver AI-driven experiences that fundamentally enhance how our customers engage with Datadog.At Datadog, we deeply value our office culture, fostering relationships and collaboration that ignite creativity. We embrace a hybrid workplace model, allowing our team members to achieve a harmonious work-life balance tailored to their individual needs.

At Trunk Tools, we are pioneering the integration of AI in the construction industry, which is the second-largest sector globally. Recently, we successfully secured a $40 million Series B funding round led by Insight Partners, bringing our total funding to $70 million from esteemed investors such as Redpoint and Innovation Endeavors. This investment is propelling us into our next stage of growth as we deploy AI agents across various job sites.Our mission is to revolutionize construction through intelligent automation. Despite being a $13 trillion industry, many processes remain outdated and analog. We are on a mission to transform this landscape by embedding AI directly into field operations.Founded by professionals from the construction and technology sectors, including alumni of Stanford and MIT, our team has developed software utilized by over 140,000 field professionals, impacting millions and contributing to over $10 billion in completed projects. Many team members have firsthand experience in the field, granting us a profound understanding of the industry's unique challenges.After years of development, we are ready to launch production-level AI agents, starting with intelligent document processing and question-answering solutions, and we are rapidly expanding into core operational workflows. With our team having doubled in size over the past year to over 65 employees (including more than 25 engineers), we are entering a phase of hypergrowth. This is a unique opportunity to join us at a pivotal moment.

Join Thread AI as an Applied AI EngineerAt Thread AI, we are pioneering the development of an AI-native workflow orchestration engine. We seek passionate individuals to be part of our dynamic team, dedicated to simplifying infrastructure for enterprises and public sector agencies eager to harness the full potential of AI.Based in New York, our thriving team comprises specialists in AI, product development, and engineering, all with proven experience in managing intricate workflows and infrastructure.Our Engineering CultureWe pride ourselves on maintaining a tight-knit technical team that integrates engineering, research, design, product, and operational excellence. Our philosophy emphasizes a flat organizational structure and collaborative environment, enabling us to innovate rapidly and create superior products compared to larger, hierarchical organizations.Your RoleAs an Applied AI Engineer, you will be instrumental in architecting and implementing robust AI workflows. Daily, you will design end-to-end customer workflows, oversee their transition to production, and address real-world challenges. Your responsibilities will include crafting innovative, scalable, and high-performance software solutions that align with both customer needs and our strategic goals. You will collaborate closely with our sales and marketing teams to develop forward-thinking prototypes that will guide the future product and infrastructure direction of Thread AI and our clients.

Role overview As Engineering Manager for Applied AI & Platform at norm-ai in New York City, this position leads a team dedicated to bringing artificial intelligence into the company’s platform products. The manager sets direction for projects, supports the technical development of engineers, and plays a key role in shaping the vision for how AI will influence future product offerings. What you will do Guide engineers as they develop and integrate AI technologies into core platforms Oversee project planning and execution to ensure initiatives match company objectives Provide technical leadership and mentorship to help the team achieve strong results Work with stakeholders to define the technology roadmap and platform strategy

About NevisNevis is at the forefront of revolutionizing wealth management with the world's first AI-driven platform. In less than a year, we have successfully managed over $50 billion in assets, with projections to surpass $100 billion by year-end.With support from leading investors, including Sequoia Capital, ICONIQ, and Ribbit, we've raised $40 million, making us one of the top-funded and fastest-growing Series A startups in Europe.The RoleWe are seeking a passionate and skilled AI Engineer to join our dynamic team at Nevis. You will be instrumental in developing our next-generation AI-focused wealthtech products, tackling key challenges faced by our business clients through innovative LLM-driven automation pipelines.Your work will involve utilizing state-of-the-art LLM models and collaborating with industry-leading vendors to enhance our platform's reasoning capabilities, consistently setting the standard for high-quality model outputs.As part of a small, elite team comprising top engineers and product developers, including the former Head of AI at Revolut, you will have the opportunity to make a significant impact on one of the largest industries globally.Your ResponsibilitiesDesign and create LLM and ML-based features across Nevis’ platform.Collaborate with cross-functional teams to transition new AI capabilities from concept to production.Establish best practices for AI development, testing, observability, and reliability.Continuously monitor and refine the performance and reasoning quality of our AI products.Engage with product and design teams to prototype and enhance new AI features and products.Keep abreast of the latest advancements in the generative AI space, including agentic systems, reasoning capabilities, and context engineering.Your QualificationsHands-on experience with large language models (LLMs).Demonstrated success in solving real-world challenges using AI/ML.Strong statistical and data analysis skills.STEM degree from a reputable university.Enthusiasm for transformative AI technologies.Product-driven mindset, emphasizing practical applications over theoretical concepts.

About AmigoAmigo collaborates with healthcare organizations to implement advanced AI infrastructure that enhances patient care and provider efficiency. Our AI agents streamline clinical workflows and engage patients throughout their healthcare journey—from pre-visit intake and care navigation to post-visit care plans and ongoing patient monitoring.Recently, we secured a Series A funding round from top-tier investors including Madrona, General Catalyst, and Optum Ventures. Our technology is validated by leading academic medical institutions, and our agents have successfully managed over 3 million patient encounters, with a goal to multiply that number tenfold this year.About This RoleAs an Applied AI Engineer at Amigo, you will develop and deploy production-grade AI agents using our established architecture and verification framework. Your role will involve direct collaboration with clinical teams and enterprise clients to create agents capable of delivering complex, specialized services with proven reliability. This position demands a strong technical implementation background, paired with the capacity to translate clinical knowledge into effective systems that adhere to regulatory compliance.Your ResponsibilitiesDevelop context graphs that empower agents to choose the appropriate reasoning mode (lookup, pattern recognition, exploration) based on the complexity of the problem at hand.Construct and refine agent configurations, which include static personas, dynamic behaviors, and functional memory systems.Design bounded Operational Patient Domains (OPDs) with clear inclusions, exclusions, capabilities, and escalation protocols.Establish verification loops and simulation-based testing to assess agent performance against defined customer KPIs.Write Python code for tool integrations and API orchestration within client environments.Develop evaluation suites that govern deployments based on customer-specific success metrics.Engage with domain experts through structured interviews to capture critical reasoning patterns and clinical protocols.Provide support to technical power users through git-based workflows, facilitating rapid iterations.Implement adversarial testing to proactively identify and mitigate potential failure modes.Ensure agents maintain audit-ready provenance through version control and evidence links.Contribute to the systematic development of implementation patterns across various problem domains.What We Are Looking ForA minimum of 2 years of experience in AI engineering or a related field.Proficiency in programming languages, particularly Python.Strong understanding of AI frameworks and deployment methodologies.Excellent communication skills to work effectively with cross-functional teams.A passion for improving healthcare delivery through innovative technology.

Quizlet Inc. is looking for an Applied AI Engineer to create AI-driven features that support student learning. This position centers on developing and deploying machine learning solutions aimed at making study experiences more effective and engaging for a global user base. What you will do Design and implement machine learning models to enhance Quizlet’s educational tools Work on features that help students study more efficiently and enjoyably Locations Denver, CO New York, NY San Francisco, CA Seattle, WA

Join Thread AI as an Applied AI Strategist and be at the forefront of transforming enterprise operations through innovative AI solutions. At Thread AI, we are dedicated to simplifying the complex landscape of AI-native workflow orchestration for enterprises and public sector agencies.Our team, based in the heart of New York, comprises skilled AI professionals, product specialists, and engineering experts with a proven track record of managing intricate workflows and infrastructure. We invite you to become a part of our dynamic team that is committed to pushing the boundaries of what AI can achieve.Your RoleAs an Applied AI Strategist, you will serve as the vital link between our composable AI infrastructure and the multifaceted realities of our clients' businesses. Collaborating with a dedicated team of Applied Engineers, you will deploy our platform to tackle the most pressing operational challenges faced by enterprises today.Your core mission will be to integrate disparate workflows and raw ambitions into a cohesive understanding of the challenges at hand, identifying how AI agents can offer solutions and where tangible impacts can be realized. By immersing yourself in our clients' complex processes, you will design AI solutions that revolutionize their operational methodologies. This role demands a curious and analytical mindset, a strong intuition for value-driven workflows, and a deep sense of user empathy, empowering our clients to enhance their capabilities.Key ResponsibilitiesDeep-Dive Discovery: Conduct onsite assessments and engage with customer stakeholders to identify significant bottlenecks and high-impact opportunities for AI automation.Solution Architecture: Utilize the Lemma platform to develop tailored agents and workflows, actively configuring logic and integrations to address specific user challenges.Technical Integration: Collaborate closely with our Applied AI Engineering team to facilitate seamless connections for customers between APIs, data sources, and models within the Lemma platform.User Enablement: Lead training sessions to ensure AI solutions align with user needs and generate measurable impacts on their operations.Strategic Reporting: Present deployment outcomes and future roadmap proposals to diverse audiences, from technical leads to C-suite executives.Product Feedback Loop: Work alongside our Software Engineering and Product Design teams to integrate field intelligence into the core Thread AI platform.

Rowspace is looking for an Applied AI Engineer to join the team in New York City. This position focuses on building and improving AI systems that help the platform interpret and deliver key financial insights. Projects range from developing AI agents that respond to client feedback to designing evaluation frameworks and advanced retrieval systems that support financial workflows. What you will do Apply recent advances in AI to create systems that understand financial contexts and business concepts. Design retrieval pipelines capable of extracting and combining insights from unstructured data sources, such as PDFs, emails, and presentations, while resolving conflicting information. Develop agentic workflows so AI can analyze financial relationships, benchmark data, and perform comparative analysis. Create and maintain knowledge graphs to represent complex financial relationships, entity connections, and market dynamics. Build evaluation frameworks to measure and improve AI performance in tasks like investment research, due diligence, and portfolio monitoring. Implement systems that ensure traceability from AI-generated outputs back to original sources. Experiment with advanced LLM orchestration and context management approaches tailored to financial use cases. Help shape technical direction and define best practices for AI application development at Rowspace. Iterate on AI systems using direct input from customers, refining solutions based on real-world usage and feedback. Manage the full lifecycle of production systems, taking responsibility for reliability, performance, and maintainability across the stack.

Role Overview Greenboard is hiring an Applied AI Engineer in New York City. This role focuses on building and launching AI-powered features that improve Greenboard’s products and services. Work closely with engineers and data scientists to bring new AI ideas into production. What You Will Do Design, develop, and deploy AI solutions to support product enhancements Collaborate with team members to integrate advanced AI technologies Contribute to projects that shape the direction of AI at Greenboard Location This position is based in New York City.

At Jump Trading Group, we are dedicated to pioneering research and innovation. We harness the talents of exceptional individuals in Mathematics, Physics, and Computer Science to explore scientific boundaries, challenge the status quo, and apply state-of-the-art research within the global financial markets. Our distinctive culture fosters constant innovation, requiring boldness, creativity, integrity, and a competitive spirit. We believe in collective success and unlocking each individual's unique abilities through collaboration and mutual respect. At Jump, our research doesn't just lead to superior risk-adjusted returns; we also design, develop, and implement technologies that transform our world, support start-ups across various sectors, and collaborate with leading global research institutions and universities to tackle pressing challenges.Your Role:We are on the lookout for an AI Adoption Engineer who will act as the main technical liaison for Jump’s back-office teams, including Finance, Legal, HR, and other non-trading functions, as they incorporate AI into their daily operations. This position operates at the convergence of AI research, infrastructure, and essential business applications. As a hands-on AI specialist, you will collaborate with developers and AI advocates throughout the organization to pinpoint high-value opportunities, create solutions utilizing Jump's internal AI platform, and work closely with R&D and infrastructure to unlock new capabilities as required. You will oversee the entire lifecycle of back-office AI initiatives, from discovery and stakeholder discussions to prototyping, deployment, and continuous improvement, while establishing best practices for prompting, agent design, evaluation, robustness, and ethical AI usage.We believe that successful AI adoption necessitates a dynamic blend of technical proficiency, product insight, and genuine curiosity about the operations of business teams. We encourage candidates who possess an understanding of current best practices, closely follow emerging trends, frequently experiment, and are comfortable engaging with both technical and non-technical stakeholders. The ideal candidate will be confident in the tangible and measurable advantages that well-crafted AI applications provide. They will be enthusiastic about building, eager to educate others, and capable of implementing new techniques and technologies within a responsible, secure, and scalable framework.

At PermitFlow, we are revolutionizing the construction landscape in America. As an applied AI firm, we assist builders across the nation in overcoming significant information hurdles related to what can be built, where, and how. Our AI-driven workforce empowers the fastest-growing construction enterprises to expertly manage processes ranging from permitting and licensing to inspections and project closeouts. This initiative is crucial for accelerating the development of housing, clean energy, and infrastructure nationwide.Despite the construction sector's impressive $1.6 trillion valuation, it is plagued by delays, inefficiencies, and lost opportunities. PermitFlow has already contributed to delivering enhanced speed, accuracy, and visibility to over $20 billion in development projects, aiding contractors in minimizing compliance timelines, mitigating project risks, and scaling operations confidently.As the U.S. embarks on a new capital expenditure supercycle across data centers, factories, housing, and renewable energy, joining PermitFlow means laying the groundwork for the AI infrastructure that will underpin every construction project, thereby fueling the next wave of reindustrialization.Having successfully raised over $90 million, including our recent Series B funding, we have garnered support from premier investors like Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, alongside backing from industry leaders at OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.Our headquarters is located in New York City, operating on a hybrid schedule (three in-office days per week). We prefer candidates based in NYC or those willing to relocate.

DeepIntent develops data-driven solutions for healthcare advertising, using data science and real-world clinical data to help improve patient outcomes. More information is available at www.DeepIntent.com. Role overview The Applied AI Engineer partners with US commercial and operational teams to create an internal operating system that streamlines company workflows. The focus is on building AI-driven automation to address daily operational challenges, transforming repetitive tasks into opportunities for more valuable work. This position is a fit for someone who enjoys applied AI, bridges business and technical needs, and wants to see a direct impact from their work. What you will do Design, develop, and implement AI agents to automate administrative and repetitive tasks in commercial operations. Work with stakeholders to analyze business processes, identify inefficiencies, and find automation opportunities with the most impact. Build solutions using advanced LLMs (such as OpenAI and Anthropic Claude), workflow automation tools, RESTful APIs, and Python scripting. Prototype, iterate, and deploy solutions quickly, moving from problem identification to tool implementation with minimal delay. Collaboration with business teams Act as the technical liaison within commercial and PMO teams, building strong relationships with non-technical stakeholders. Translate broad business requirements into clear technical specifications and actionable solutions. Communicate progress, identify obstacles, and present solutions in ways that are accessible to both technical and non-technical audiences. Documentation and ongoing improvement Create and maintain thorough technical documentation for all tools, workflows, and integrations developed. Monitor deployed solutions and seek ways to improve reliability, performance, and user adoption. Location: New York, New York

Join our innovative team at General Intelligence Company as an Applied AI Engineer, where you'll be at the forefront of enhancing our Cofounder agent technology. You'll take charge of critical backend systems and engage in applied large language model (LLM) projects, focusing on improving agent reliability and autonomy. Your role will encompass building evaluation pipelines and implementing techniques that significantly boost agent performance. This is a hands-on position that demands high ownership from research to production: prototyping, evaluating, and deploying enhancements that have a direct impact on user experience.Your ResponsibilitiesArchitect and execute comprehensive agent enhancements: including prompting strategies, tool selection, action planning, memory optimization, safety measures, and recovery solutions.Develop robust evaluation frameworks for the agent: offline evaluations (golden tasks, regression tests, behavior assessments), online metrics (latency, success rates, failure modes, cost efficiency), and experimentation methods (A/B testing, canaries, guardrail thresholds).Implement applied LLM methodologies: orchestrating function/tool calls, self-reflection, retrieval-augmented generation (RAG), multi-agent transitions, caching and embedding strategies, and reducing hallucinations.Enhance core backend systems: ensuring reliable job orchestration, implementing retries/backoff strategies, supporting idempotency and auditability; managing scalable memory and context routing; optimizing data pipelines across platforms such as Gmail, Slack, Notion, Linear, Google Workspace, etc.; and improving observability and tracing for agent actions and outcomes.Collaborate with product and infrastructure teams to define success metrics and deliver rapid, safe iterations.Produce clean, thoroughly tested code; document design choices and operational guidelines.QualificationsA minimum of 4 years of backend engineering experience, ideally with Python (we prioritize impact over tenure).Hands-on experience with LLMs: including prompt engineering, function calling, retrieval techniques, embeddings, and evaluation frameworks; demonstrated experience in deploying LLM features into production.Proven track record in developing evaluation harnesses and leveraging them to drive enhancements (regression suites, task success metrics, cost/runtime trade-offs).Strong understanding of distributed systems principles: concurrency, reliability, performance optimization, data modeling, and lifecycle management.Practical approach to experimentation: from hypothesis formulation to prototyping, measuring improvements, and rollout.Exceptional debugging and instrumentation skills; a passion for identifying and resolving edge cases in real-world scenarios.Preferred QualificationsExperience in working with other programming languages and technologies.

Arlo Health is revolutionizing the health insurance landscape by harnessing the power of AI. The current healthcare experience can be costly, confusing, and frustrating, leading individuals to postpone necessary care. We are transforming this narrative by reimagining health plans as proactive partners in health management. Our AI-driven platform offers continuous, tailored support to our members—guiding them through benefits, scheduling appointments, accessing premium care, and alleviating financial concerns. With an innovative risk-pricing engine at its core, Arlo Health is rapidly expanding, boasting $XXXM in premiums and serving tens of thousands of individuals, with growing interest from brokers, employers, and partners. Supported by esteemed investors such as Upfront Ventures, 8VC, and General Catalyst, our team blends extensive industry expertise (including experience from Palantir and YC) with a vision to modernize a $1 trillion market.About the RoleAs an Applied AI Engineer, you will spearhead the development of essential product experiences that enhance our members' healthcare interactions.Design and launch innovative AI-native features for our growing member base.Create and implement advanced LLM-powered agents capable of autonomously navigating complex healthcare processes.Enhance our core AI infrastructure by refining prompt orchestration, context engineering, retrieval systems, and evaluation methodologies.Your ImpactTo give you a sense of the projects you may lead:AI-Powered Triage: Develop an intelligent tool that assists patients in understanding their symptoms and directs them to the appropriate care setting (ER, Urgent Care, or PCP). This will help prevent unnecessary visits and save members thousands in out-of-pocket expenses.An Infinitely Scalable Care Partner: Build a conversational AI that aids patients in understanding their health, from interpreting lab results to clarifying treatment plans. This will provide members with 24/7 support and an unmatched level of patience that traditional systems lack.Proactive Health Engine: Lead the creation of an outreach tool that analyzes claims data to deliver personalized, timely campaigns for preventive screenings and medication adherence. You will shift healthcare communications from static emails to dynamic, engaging interactions.

Team Overview:As a pioneering force in developing advanced algorithms and software for automated image, video, text, and multimodal analysis, Kitware is at the forefront of innovation. Our artificial intelligence-driven solutions deliver significant value to government agencies, commercial enterprises, and academic institutions globally. We address the complex challenges of information extraction, interpretation, and usage across various media types, and are committed to providing robust and cost-effective solutions. Our ongoing research and collaborative efforts are dedicated to advancing fields like artificial intelligence and computer vision through our open-source software platforms, including VIAME and Telesculptor.Project Insights:The interconnection between Natural Language Processing (NLP) and Computer Vision is becoming increasingly evident, utilizing shared computational methodologies and a growing array of text + image/video benchmarks. Our current initiatives tap into the latest breakthroughs in large language models (LLMs) and explore diverse applications such as information extraction, decision-making, reasoning, and combating disinformation. Key areas of focus include knowledge extraction and representation, leveraging multimodal media assets, and deciphering written instructions, among others.At Kitware, employees gain unique opportunities to engage directly with clients, explore fascinating customer sites, and participate in live testing and demonstrations. Much of our work revolves around applying cutting-edge AI techniques to real-world challenges, particularly in the realm of national security, where your contributions can make a tangible impact in protecting our nation. Our Research and Development Engineers also enjoy benefits akin to those found in academia, including support for publishing innovative research. Additionally, there are frequent chances to collaborate with esteemed academic partners on various research endeavors.We collaborate with leading government R&D agencies such as DARPA, IARPA, AFRL, NVESD, NOAA, ONR, different branches of the US military, and several members of the Intelligence Community on a wide range of programs, including prime contracts, SBIRs, and STTRs. Furthermore, we offer commercial services to a diverse clientele ranging from startups to Fortune 500 companies. Our open-source business model promotes extended collaboration and provides flexible, high-quality technical solutions.

Taktile is seeking a Senior Applied AI Engineer to join the team in the New York office. This position centers on developing and refining AI and machine learning solutions that enhance business intelligence and decision-making capabilities. Role overview The Senior Applied AI Engineer will work closely with colleagues from various departments to bring advanced AI technologies into real-world use. The goal is to help deliver measurable outcomes for clients by applying machine learning and AI methods to business challenges. Collaboration This role requires frequent interaction with teams across the company. Success depends on the ability to translate technical advances into practical tools and insights that support client needs.

Join auctor as a Software Engineer specializing in Applied AI, where you will have the opportunity to innovate and develop cutting-edge solutions that leverage artificial intelligence. You will work in a dynamic team environment, collaborating with cross-functional teams to design, implement, and optimize AI-driven applications. Your expertise will contribute to enhancing our technology stack and driving the company’s mission to lead in AI advancements.

Join Equi as a Founding Engineer and Applied AI LeadEqui is an innovative investment management firm dedicated to creating institutional-quality alternative investment solutions. Our unique business model not only provides Equi-branded funds but also develops white-label fund of funds products for premier independent multi-family offices and advisory firms nationwide. We leverage extensive manager selection expertise alongside sophisticated portfolio construction to achieve exceptional outcomes for our clients and partners.Currently, Equi is at a pivotal stage in our growth journey; our assets under management (AUM) are rapidly increasing. We have signed a Letter of Intent (LOI) to launch a new fund of funds product and anticipate additional LOIs in the near future. We are in the process of building a small, high-caliber team that will grow alongside the platform, taking on greater responsibilities as we scale.Your Role as Founding EngineerAs the Founding Engineer and Head of Applied AI, you will play a critical role in shaping the technology landscape across the company. This foundational leadership position involves designing and developing software solutions that will accelerate Equi's growth, collaborating closely with the investment team, operations, and go-to-market strategies.You will be the cornerstone of engineering at Equi, leading projects from conception to execution, encompassing AI-driven systems, customer-facing applications, and internal tools. This position sits at the crossroads of AI engineering and application development, where you will create RAG-based intelligence, automate complex investment workflows, and develop innovative customer-facing applications leveraging our data infrastructure.This is a unique opportunity for individuals who are passionate about sophisticated investment strategies and are eager to create technology that fuels a rapidly growing platform. The role is designed to evolve from hands-on building into a leadership capacity, allowing you to grow and guide the engineering team while adhering to our vision of maintaining a small, flat organization where everyone is closely engaged with the work.Our Culture at EquiAt Equi, we embrace a team-oriented culture where transparency and constructive debate are vital to our success. We operate under a flat organizational structure, where ideas are valued based on merit rather than seniority, and each team member is encouraged to contribute to discussions. We prioritize intellectual honesty, rigorous thinking, and humility to adapt when faced with new evidence.Our engineering vision is to maintain a small and flat team, ensuring that everyone remains actively involved in building, rather than layering on management. As our platform expands, there will be clear opportunities for increased responsibility and leadership while staying intimately connected to the technical aspects of our work.