AI Strategist at Stack AI | New York City

At Artemis, we are pioneering the future of AI-powered defense systems, dedicated to empowering organizations to effectively detect and defend against threats in a landscape where AI technologies are engaged in a cyber arms race.With the backing of key investors including First Round Capital and Brightmind, alongside a team of prominent cybersecurity professionals, we are positioned to make a significant impact.Our founders, Shachar (formerly of Palo Alto Networks, AWS, and Demisto) and Dan (formerly of Abnormal Security, Twitter) are seasoned experts who have successfully developed and scaled trusted cybersecurity solutions for numerous clients.Our diverse and talented team, consisting of software engineers, AI researchers, security engineers, and product designers from industry leaders such as Google, Abnormal AI, Wiz, Meta, AWS, and SentinelOne, is committed to innovation.As we continue to expand, we seek passionate builders ready to support our growing customer base.Job OverviewArtemis processes and analyzes vast amounts of streaming data from various sources, including cloud platforms and network logs. We are in the process of developing a large-scale data platform from scratch and are actively seeking outstanding Software Engineers to contribute to this initiative. You will collaborate with engineers who have designed some of the world's largest distributed systems.This high-impact position comes with substantial ownership, allowing you to engage with critical system components—from customer-facing features to extensive data analytics infrastructure—tailored to your skills and the challenges at hand.Your responsibilities will include defining architecture, making pivotal technical decisions, and managing projects from conception to production. This role is ideal for engineers who thrive in ambiguous environments, prioritize quality, and are eager to innovate.

Join our dynamic team at Artemis as a Security Analyst in the heart of New York City. In this pivotal role, you will be tasked with identifying, analyzing, and mitigating security threats to our organization. You will collaborate with IT and business units to develop security policies, procedures, and best practices to ensure the safety of our data and systems.

At Artemis, we are pioneering the future of AI-powered defense systems to empower businesses to effectively detect and counter threats in a landscape where AI combats AI on the cyber frontlines.We are supported by esteemed investors such as First Round Capital and Brightmind, alongside a coalition of leading operators in the cybersecurity sector.Our visionary founders, Shachar (former leaders at Palo Alto Networks, AWS, Demisto) and Dan (ex-Abnormal Security, Twitter) have successfully built, launched, and scaled cybersecurity solutions that have earned the trust of thousands of clients, leveraging deep expertise in customer needs, technology, and security to realize our ambitious vision.Our diverse and highly skilled team comprises software developers, AI researchers, security experts, and product designers from industry giants like Google, Abnormal AI, Wiz, Meta, AWS, CERN, and SentinelOne.As we expand our footprint, we are seeking passionate innovators to join our mission and enhance our growing clientele.Job OverviewArtemis is at the forefront of analyzing vast streams of data from cloud services, identity providers, network logs, and more. We are constructing a cutting-edge, large-scale AI-native data platform from inception and require outstanding AI/ML Engineers to help shape and realize this vision. You will collaborate with engineers who have designed some of the world’s most significant distributed systems.A key focus of this role involves utilizing agents as the primary classification and reasoning layer across our platform, enabling us to transcend traditional static rules and approaches, allowing for a deeper understanding and response to multifaceted security data.This position offers substantial responsibility and impact. You will engage with crucial components of our system, from LLM-powered classification and detection to extensive data processing and management.

Join Profound in our quest to empower businesses to effectively manage their AI landscape. As an AI and ML Engineer, you will be instrumental in the design, development, and deployment of advanced Natural Language Processing (NLP) and Large Language Model (LLM) systems. Your work will enhance classification, ranking, clustering, topic discovery, and content generation capabilities. You will oversee complete workflows from data acquisition to deployment, collaborating with cross-functional teams to transform genuine user interactions into impactful product features and content that enhances visibility, engagement, and conversion rates.ResponsibilitiesDevelop and implement scalable NLP models for classification, ranking, clustering, topic extraction, and summarization.Design end-to-end LLM workflows for generating contextually relevant content, covering topic discovery, brief creation, outlines, drafts, revision cycles, and publish-ready assets.Create prompt and template libraries that align with brand voice for various formats, including blogs, landing pages, help documentation, and advertisements, ensuring evidence-based generation and citation retrieval.Establish evaluation frameworks for generated content, focusing on factual accuracy, coverage, tone, safety, and originality, using rubric-based evaluations and human-in-the-loop reviews.Monitor content performance across SEO and AEO metrics, engaging in experiments to enhance quality, reduce costs, and minimize latency.Transform extensive text datasets into production-ready features and signals that provide valuable product insights.Collaborate with engineering teams to instrument events, maintain data pipelines, and ensure high data quality and observability.Work closely with product, data, and go-to-market teams to define success metrics and conduct experiments that positively influence customer-facing KPIs.QualificationsDemonstrated experience in deploying machine learning systems at scale, particularly with large textual datasets.Practical experience in developing LLM content systems, including prompting, templating, retrieval-augmented generation, guardrails, and evaluation mechanisms.Proficiency in SQL and strong skills in Python alongside modern machine learning tools.In-depth understanding of machine learning quality metrics, capable of designing both offline and online evaluations and monitoring systems.Creative problem solver, capable of innovating when standard solutions do not meet requirements.Experience in cross-functional, high-performance teams, effectively contributing to diverse projects.

Join a team of former Google engineers who have developed some of the world's most significant defensive platforms, including Safe Browsing and reCAPTCHA. We are embarking on an ambitious journey to combat a new generation of adversarial AI attacks that organizations face today.Currently operating in stealth mode, we are targeting a $5B+ market that is primed for innovation. Conventional detection strategies are lagging behind as adversaries leverage AI to create highly customized attacks that evade traditional systems.Your Mission: Design a comprehensive network of AI agents that are efficient, cost-effective, and precise, working in unison to identify and neutralize emerging threats. You will delve into real-time threat data, iteratively refining your agents in response to the evolving battlefield. These agents will function under a rapid iteration and adaptive learning orchestration layer.Challenges and OpportunitiesRapidly Changing Models: The strategies that were effective yesterday may become obsolete tomorrow.Intelligent Adversaries: We are engaged in a real-time arms race against sophisticated AI-driven attackers.No Established Playbook: We are innovating new detection methodologies as threats develop, making this a high-stakes, impactful role from day one.If you are an engineer who thrives on solving complex problems and values quick feedback, this challenge is for you.Why We Will SucceedVast Market Potential: A rapidly expanding market valued at over $5B, with slow-moving traditional competitors.Proven Track Record: Our team has previously built core technologies behind Safe Browsing (serving over 5B users) and reCAPTCHA (protecting more than 5M websites) during our tenure at Google.Third-Time Charm: This is our third endeavor in creating a category-defining security company, and we know how to scale both technology and business effectively.AI and Security Expertise: Our approach integrates AI and security from the ground up rather than as an afterthought.Elite Team: We only recruit top talent, with many team members being in the top 1% of engineers from Google.Agility: We prioritize speed and efficiency, ensuring a dynamic work environment.

At Artemis, we are at the forefront of AI-driven defense technology, dedicated to empowering organizations to effectively identify and counter threats in a landscape where AI systems engage in cyber warfare.With the support of esteemed investors such as First Round Capital and Brightmind, as well as a cadre of industry-leading cybersecurity professionals, we are well-positioned for growth.Our founders, Shachar (former leader at Palo Alto Networks, AWS, and Demisto) and Dan (former executive at Abnormal Security and Twitter) bring invaluable expertise in developing, launching, and scaling cybersecurity solutions that are both trusted and beloved by a vast customer base.Our dynamic team is composed of talented software engineers, AI researchers, security experts, and product designers drawn from leading tech companies like Google, Meta, and AWS, all united by a common goal of innovation and excellence.As we expand, we invite passionate creators to join our ranks and help us serve a growing clientele.

Role Overview Sigma Computing is building the next generation of data interaction. The platform lets users explore billions of data rows in seconds, work with data in a familiar spreadsheet-like interface, and build visualizations, applications, and workflows. Sigma is now expanding these capabilities with AI to help users create, discover insights, and make decisions faster. The Senior AI/ML Engineer will join a team focused on developing the AI infrastructure that shapes Sigma’s future. Work here directly impacts how enterprises use Sigma in their daily operations. Location This position is based in New York City, NY.

Why Join Moonshot AI?Imagine a world where websites automatically optimize themselves to enhance sales, improve conversion rates, and accelerate growth. At Moonshot AI, we are transforming this vision into reality by integrating generative AI, extensive data processing pipelines, and systematic experimentation into a self-evolving digital ecosystem.As a well-funded startup in its early stages, we have a bold vision. Joining us means becoming more than just an employee; you will play a crucial role in shaping our technical and cultural foundation. If you desire the freedom of a founder, combined with the support of top-tier investors, this is the opportunity for you.Your ContributionsIn your role as our Senior Fullstack Engineer, you will be actively engaged across the technology stack. You will design, develop, and scale systems that power our AI-driven platform, enjoying significant autonomy, rapid execution, and substantial ownership of your work.Build and architect scalable systems — from backend APIs to frontend dashboards — capable of processing millions of web events daily.Create large-scale data infrastructure that elucidates website construction, performance metrics, and optimization strategies.Train and integrate LLMs into production environments to autonomously hypothesize, generate, and validate website variants.Influence engineering culture and practices — your impact will be evident throughout our tech stack, architecture, and team processes.Engage in experimentation, prototyping, and iteration — combining research, product development, AI, and scalability in a single role.This is not about maintaining another SaaS application; it’s about constructing an AI engine that revolutionizes digital product creation.Candidate ProfileA software artisan — you produce clean, scalable code and are adept at delivering results swiftly.5+ years of full-stack development experience (Python, JavaScript, AWS preferred, but not mandatory).Proven experience in leading teams or managing significant projects.Educational background in Computer Science, Electrical Engineering, Mathematics, or equivalent practical expertise.An AI enthusiast eager to work with LLMs and influence their real-world applications.Bonus Qualifications:Experience in a startup environment (thriving in dynamic, fast-paced settings).

Why Join Moonshot AI?Envision a web that autonomously transforms itself to enhance sales, improve conversions, and accelerate growth.At Moonshot AI, we’re pioneering this future by integrating generative AI, extensive data processing, and innovative experimentation into a self-adaptive online ecosystem.As a well-capitalized, early-stage startup with grand ambitions, your role here transcends that of a typical employee — you’ll actively contribute to shaping the company’s technical and cultural foundation. If you've ever aspired to have the freedom of a founder while being supported by elite investors, this opportunity is for you.What You'll Create & LeadIn the position of Staff Software Engineer, you will serve as the technical cornerstone of Moonshot's evolution engine, responsible for designing scalable systems, steering engineering strategy, and mentoring your colleagues.Your work will blend hands-on expertise with high-level architectural insight, transforming visionary ideas into technical realities.You will:Innovate at the forefront of generative AI - develop systems that empower AI to autonomously reason, experiment, and implement tangible changes to the web.Architect the next generation of our experimental engine - ensuring it is scalable, observable, fault-tolerant, and capable of handling millions of daily events.Design and advance our backend infrastructure utilizing Python (Flask-RestX), serverless AWS, and various data pipelines (ClickHouse, Postgres, Kinesis, Firehose, S3).Lead technical strategy - establish our engineering principles and evolve the architecture across microservices, data ingestion, and LLM-driven systems.Mentor and uplift - enhance the skills of senior and mid-level engineers through code reviews, collaborative programming, and detailed design documentation.Collaborate across teams - partner with AI, product management, and data science to translate business objectives into robust systems.Prototype and expand boundaries - rapidly bring concepts to production while balancing experimentation with thoroughness.Enhance performance, security, and reliability as we scale towards SOC 2 certification and enterprise clientele.This role emphasizes technical leadership without the responsibilities of people management: pure design, significant leverage, and complete ownership.

Tabs is at the forefront of revolutionizing finance and accounting through our innovative AI-native revenue platform. Our solution automates the entire contract-to-cash lifecycle, including billing, collections, revenue recognition, and reporting, enabling finance teams to minimize manual processes and accelerate cash flow.High-growth companies like Cursor and Statsig utilize Tabs to effortlessly generate invoices directly from contracts, reconcile payments in real time, and ensure compliance with ASC 606.Founded in 2023, Tabs has successfully raised over $91 million from prominent investors such as Lightspeed Venture Partners, General Catalyst, and Primary. Our team, based in New York, consists of experts in finance and artificial intelligence.Our MissionWe empower the one-person finance team with artificial intelligence products that automate accounting operations, communication, and reporting. Our advanced systems relieve finance leaders from the stress of updating contact details for invoices, allowing them to focus on strategic initiatives and business vision.The RoleWe are assembling a dynamic team of innovative product engineers to join our AI division as full-stack developers. This is an in-person role located in New York City.You will take ownership of designing and implementing automation, AI, and ML features from initial concept to release and integration.This role requires forward-thinking engineers who can push beyond pattern matching to uncover new insights and solutions.You will collaborate closely with company leadership and the founding team to deliver high-impact projects that significantly influence our market positioning.Ideal CandidateDemonstrated experience in building greenfield products, achieving 80% accuracy, and learning from the remaining 20%.Proven track record of taking ownership and driving projects to successful completion.A minimum of 3-5 years of full-stack engineering experience directly contributing to product and feature delivery.At least 1 year of experience working with AI and ML technologies.

About JuniorAt Junior, we are at the forefront of developing innovative LLM-powered tools designed to enhance the investment research experience for private market investors. Our esteemed clientele includes some of the world's leading private equity and consulting firms, responsible for managing billions in investments annually. As a profitable and bootstrapped company, we boast a dynamic team of 17 members operating out of London and New York City.Discover more about our mission and values here. Role DescriptionAs our inaugural NLP/ML hire, you will have the exceptional chance to:Transform product and business requirements into applied ML/NLP solutions, generating innovative research synthesis concepts and validating their business impact through rapid prototyping.Design and enhance retrieval, search, and ranking algorithms by integrating semantic embeddings, behavioral signals, and structured database queries, while also creating custom reranking models.Fine-tune SLMs/LLMs for tasks requiring high accuracy and low latency such as classification, query rewriting, summarization, and personalization.Utilize advanced alignment and reliability methodologies (e.g., DPO, fine-tuning strategies, evaluation-driven iteration) to elevate user experience and trust.Experiment with summarization and synthesis techniques to convert extensive sets of unstructured interview notes into actionable insights.Engage in product decisions, direction, and prioritization.Influence our engineering culture.With over 20 enterprise clients already onboard and tens of thousands of interactions on our platform, there is ample opportunity for data enhancement and innovation. About YouWe seek product-oriented ML engineers who:Are based in NYC.Possess a solid background as an NLP/ML researcher with expertise in RAG, LLMs, and Generative AI pipelines.Have a proven track record in building production-grade ML systems, including search, information retrieval, and structured outputs.Exhibit excellent communication skills and are eager for a client-facing role.

Quick OverviewPosition: AI EngineerWork Location: On-site at NYC HQ, 5 days per weekSalary Range: $250K - $325K+Equity: Competitive initial grant plus annual performance-based bonusesAbout MomentMoment is at the forefront of developing innovative trading and portfolio management technology. Our flagship product suite features high-throughput market data pipelines, automated smart order routing algorithms, real-time portfolio ledgering, position tracking, and high-cardinality portfolio optimization solutions.Founded in 2023 by a team of quantitative traders and researchers from Citadel and Jane Street, we have successfully raised over $100 million in funding from esteemed investors such as Andreessen Horowitz, Index Ventures, and Lightspeed Venture Partners. Our solutions are integral to the operations of financial institutions managing assets exceeding $8 trillion.The RoleAs an AI Engineer at Moment, you will be a pioneer in shaping the application of AI within our organization. Collaborating closely with design, product, platform, and engineering teams, you will develop innovative AI solutions from concept to implementation, defining the future of AI at Moment.Key Responsibilities:Gain in-depth understanding of our products and collaborate with teams to create valuable AI-driven automation.Assess and determine the applicability of the latest advancements in AI technologies for our needs.Design, deploy, and promote AI primitives that enhance internal processes and significantly improve user experiences.Ideal Candidate Profile:Proficient in working with AI Agents and understanding their applications.Enthusiastic about keeping pace with the rapidly evolving AI landscape and tools.A product-minded engineer eager to engage with all parts of the tech stack and leverage AI for self-service solutions.Experienced in distributed systems and their implementation.Committed to thoroughly understanding our customers' workflows.Able to thrive in a fast-paced work environment.Preferred Qualifications:Familiarity with AI development techniques and frameworks, including evaluation and observability.

About SciemoSciemo is at the forefront of AI innovation for consumer goods, providing technology that empowers businesses to make more informed, rapid, and human-centric decisions throughout the Integrated Business Planning (IBP) process. Our platform effectively transforms disorganized, isolated data into significant business outcomes. Through real-time assistance from our AI agents, we simplify complexity, enabling decision-makers to focus on what truly matters. Our headquarters is located in New York City.OverviewAs a leading startup, Sciemo is dedicated to advancing AI solutions for consumer brands. Utilizing machine learning, generative AI, agent-based systems, and graph technologies, we enable our clients to extract insights within seconds and achieve business impacts in minutes through our innovative products.We are seeking a Founding Member of Technical Staff to join our team, overseeing the development and deployment of sophisticated ML systems, reporting directly to Dan Wald, our Co-Founder & Chief AI Officer.RoleIn this dual capacity as a Data Scientist and Machine Learning Engineer, you will be instrumental in crafting, developing, and deploying the intelligent solutions that power our AI products. Your expertise will span the full spectrum of applied AI, including data science, machine learning, and large-scale production engineering. This role necessitates a combination of innovative model development and the engineering aptitude to deploy and sustain these models within robust, scalable infrastructures.You will collaborate closely with data engineers, product leaders, backend developers, and customer-facing teams to ensure our AI systems yield tangible value in real-world applications. As an early technical hire, you will help shape our AI strategy, establish technical standards, and create best practices for scalable applied AI.ResponsibilitiesDevelop and deploy AI systems that include:Architecting, building, and deploying ML/GenAI products on cloud infrastructure (AWS or equivalent).Designing and implementing end-to-end AI workflows: data ingestion, feature engineering, modeling, evaluation, and deployment.Creating automated pipelines for continuous learning, model promotion, and performance monitoring.System architecture and reliability:Leading the design of ML orchestration frameworks (such as Airflow, Kedro, ZenML, Flyte) to ensure reproducibility and reliability.

Join Norm Ai as a Forward Deployed EngineerAs a vital member of our Deployment Team, you will bridge the gap between software engineering and client solutions, working closely with enterprise clients and our executive team. Your role will involve designing and implementing innovative AI-driven compliance solutions that seamlessly integrate into existing client workflows, driving significant value and cost savings.In this position, you will lead the charge in advancing Norm’s Regulatory AI platform. By collaborating directly with client teams, you will create tailored technical solutions, forge productive long-term relationships, and engage with key decision-makers. Your contributions will ensure that Norm Ai remains at the forefront of legal and compliance technology.

About SolvaSolva is revolutionizing the insurance sector with advanced AI solutions, targeting a vast $8 trillion market, starting with claims processing. With significant backing of $6 million from renowned investors including First Round, Y Combinator, and SV Angel, our mission is supported by industry veterans, including notable figures like Paul Graham, who have previously invested in groundbreaking companies such as OpenAI, Google, and GitHub.Our team has extensive experience, having contributed to one of Europe’s fastest-growing InsurTech firms and establishing a licensed EU bank that manages over €1 billion annually. Now, we're poised to reshape a major global industry with innovative AI technologies.As a proud Y Combinator S25 company, Solva is recognized as one of the most rapidly expanding and well-funded startups in the field.About the RoleAs an AI Engineering Intern, you will collaborate closely with our founding team, playing a vital role in developing the AI systems that drive Solva’s operations. This hands-on position offers a unique opportunity to tackle real-world challenges in reasoning, evaluation, and model behavior, enhancing the claims decision-making process.In this fast-paced environment, you will engage in model experimentation, build evaluation tools, refine agent workflows, and work with complex insurance data. We seek a curious individual who thrives on solving technical issues and is eager to see their ideas rapidly transformed into products.This is a full-time internship, with start dates negotiable. Successful interns may transition to full-time positions.What You’ll DoContribute to AI systems focused on claims decision support and reasoning.Develop agent workflows, evaluation pipelines, retrieval logic, and prompt strategies.Experiment with LLMs, fine-tuning, retrieval-augmented generation (RAG), embeddings, and model selection.Stress-test outputs, address failures, and learn to engineer robust systems.Implement rapid iterations based on customer feedback to resolve complex challenges efficiently.Develop internal tools, dashboards, and analysis frameworks that enhance our core product.What We’re Looking ForA strong enthusiasm for working with LLMs and handling real-world data.A problem-solver who enjoys tackling complex issues and testing innovative solutions.A proactive individual willing to take ownership of projects.A comfort with dealing with messy data, ambiguity, and the iterative nature of developing AI systems.

About Norm AiNorm Ai stands at the forefront of Legal & Compliance AI innovation, serving a prestigious clientele managing a staggering $30 trillion in assets. By transforming complex legal codes into sophisticated AI algorithms, we empower organizations to accelerate and enhance their legal and compliance workflows with utmost reliability and confidence.Our cutting-edge platform seamlessly integrates advanced AI technologies, proprietary legal reasoning systems, and expert legal and regulatory insights.Recently, we secured over $140 million in funding from renowned investors including Blackstone, Bain Capital, Vanguard, and other industry leaders, a testament to our robust growth trajectory.Norm Ai has pioneered the concept of Legal Engineering, equipping attorneys to construct and oversee domain-specific AI agents using our unique suite of no-code software tools. We've onboarded numerous lawyers from top U.S. law firms, transitioning them into Legal Engineers specializing in AI-driven legal workflows.Our technology is implemented within some of the world’s most significant institutions, and we are rapidly expanding, seeking talent across all departments.AI Fluency:At Norm Ai, fluency in AI is essential for all team members. We seek candidates who actively leverage AI for enhanced creativity, problem-solving, and efficiency in their daily tasks. Applicants should be ready to showcase their practical AI applications during the interview process, illustrating their experience with specific tools, workflows, and results.

Senior Full Stack EngineerAbout Fonzi AIFonzi AI is a dynamic startup fueled by substantial funding, dedicated to transforming the hiring landscape through advanced AI technologies. Having recently launched, we have already garnered the attention of thousands of exceptional engineers on our platform. Our mission is to create an AI-powered recruitment marketplace designed to seamlessly connect millions of candidates with companies, where our AI recruiters intuitively comprehend your expertise and interests to match you with ideal opportunities automatically.The RoleWe are on the lookout for a Senior Full Stack Engineer who will take ownership of projects from inception to deployment, delivering results swiftly without compromising on code excellence. This role leans towards backend development but encompasses full-stack responsibilities, as you'll contribute to building the foundational platform that drives our AI-enabled marketplace. Collaborating closely with our technical lead, you'll architect and implement features that have a tangible impact on how candidates and companies interact.This position transcends typical engineering responsibilities; you will act as a product engineer, fully aware that each line of code affects real users. You'll engage with our recruiting and marketing teams, converting business requirements into technical solutions while striking a balance between rapid delivery and scalable architecture, a hallmark of successful startups.What You'll DoLead comprehensive feature development from design through to production deploymentConstruct robust backend systems using TypeScript and Node.js, alongside creating engaging frontend experiences utilizing React and Next.jsIncorporate AI functionalities into applicationsCollaborate with AI models to expedite development while ensuring high code qualityBalance swift delivery with long-term architectural considerationsWork directly with recruiting and marketing teams to identify and address their technical challengesDeliver code rapidly while remaining mindful of long-term architectural ramificationsInfluence product direction during the formative stages of requirements—help define the 'what', not just the 'how'Articulate technical concepts effectively to non-technical stakeholdersRequired ExperienceProficient in TypeScript: This is our primary programming language, and you'll be using it dailyFull-stack development experience: Proven track record in both frontend and backend development

Kepler: AI you can rely on and validate.Every AI system faces a common challenge: it interacts with data, leading to unpredictable outputs. For those making high-stakes decisions, such variability is not a minor issue—it's a dealbreaker.We have developed a framework that eliminates the chances of erroneous outputs. Our AI comprehensively interprets your intentions, while deterministic algorithms extract every statistic from credible source documents. Since the model never generates figures, it can’t produce inaccuracies. Each output is traceable back to its source, with every calculation clearly defined. Our answers are consistently defendable.Operational in real-time across a vast database of 950K+ SEC filings, 14K+ companies, 40M+ documents, and 27 global markets. Trusted by organizations where accuracy is paramount.Our architecture is versatile across domains, with finance being our initial focus due to its critical challenges. Future applications will include healthcare, legal, and insurance sectors. We are not merely creating a financial product; we are establishing the verification backbone for the entire AI ecosystem.Founded by Vinoo Ganesh, a former Palantir executive and Head of Business Engineering at Citadel, alongside Dr. John McRaven, who has a strong background at Palantir and holds a Ph.D. in Physics, our team is backed by prominent figures from OpenAI, Facebook AI Research, and more.Your RoleAs an Agentic Systems Engineer, you will develop the foundational infrastructure that supports Kepler's AI research platform. Your responsibilities will include creating distributed execution frameworks capable of managing thousands of parallel agents, quality evaluation systems, contextual management tools to enhance agent performance, and systems to track the provenance of every output.This position is tailored for engineers eager to innovate at the cutting edge of AI systems, constructing the infrastructure necessary for enterprises to trust their automated agents for critical decision-making.In your first 90 days, you will:Launch your first production agent system with mentorship from senior engineers.Construct and implement infrastructure to facilitate authentic financial research workflows.Witness the impact of your code as agents perform research within leading financial institutions.Take command of a vital agentic system from its architecture to its deployment.

Join Kepler: AI You Can Trust and Verify.At Kepler, we understand the critical flaws that plague AI tools, where data manipulation leads to unreliable outputs. In a world where million-dollar decisions depend on precise data, we have created a groundbreaking architecture that renders these flaws obsolete. Our system ensures that AI interprets your intent while deterministic code retrieves accurate figures from source documents, guaranteeing that every output is traceable and defensible.With over 950K SEC filings, 14K+ companies, and 40M+ documents across 27 global markets, we are trusted by firms that cannot afford errors.Our architecture is versatile and domain-independent. While we are initially focused on finance, industries such as healthcare, legal, and insurance will soon benefit from our innovative verification layer for the entire AI ecosystem.Founded by industry veterans Vinoo Ganesh and Dr. John McRaven, and supported by pioneers from OpenAI and Facebook AI Research, we are at the forefront of transforming AI reliability.The RoleAs a Senior Software Engineer, you will play a critical role in architecting and building the core systems that drive Kepler's AI research platform. You will take ownership of essential infrastructure, including backend services that orchestrate AI workflows and data pipelines that manage billions of data points, impacting how financial professionals make pivotal decisions.This position is designed for engineers eager to create foundational technology at the intersection of AI and finance, where your technical leadership will have a direct influence on client decision-making.In your first 90 days, you will:Lead and deliver a major production system from conception to deploymentDrive architectural decisions that influence the platform’s future directionWitness your code powering research at leading financial institutionsGuide and mentor engineers while establishing engineering best practices