
Extend · New York City
Extend is building a modern document processing platform, reimagined with LLMs. We're on a mission to transform how the world works with unstructured data. As ...
Extend is building a modern document processing platform, reimagined with LLMs. We're on a mission to transform how the world
works with unstructured data.
As an AI Engineer at Extend, you’ll be responsible for building state-of-the-art document processing infrastructure and applied AI
product features. The work you do will impact every single customer across the millions of documents that our system ingests and
processes every month.
We’re looking to hire engineers who think creatively about problems, keep up to date on the latest in AI research, push for
real-world customer impact (not only theory), and are excited about helping businesses tackle one of their most painful problems
with AI.
(Brex, Mercury, Checkr), and many more
everyone joining at this stage will have outsized impact
in-person in NYC, with high equity ownership
We're a lean team, and our customer base is growing too fast for us to keep up. We're looking for talented engineers to join our
team and execute on an ambitious roadmap.
We're powering mission-critical data processing at companies where if we get things wrong, there are real world impacts (e.g.
missed payments, people can't move into homes on time).
issues
of product and engineering and have direct relationship with customers.
Beyond the below, we care deeply about each of our candidates on a personal level. We take the time to understand your needs to
Extend is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color,
religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information,
citizenship status, marital status, pregnancy, protected veteran status, or any other characteristic protected by applicable
federal, state, or local law.
👶 ABOUT JUNIOR We're building cutting-edge LLM-powered tools that supercharge investment research for the world's most demanding deal teams. Our clients include several of the top 10 global private equity firms, Big 4 professional services firms, and leading consulting practices: organisations responsible for deploying billions of dollars annually. We're a profitable, bootstrapped company with a growing team of ~28 people based in London and New York. We 10x'd our revenue in 2025 and are on track to grow 2-3x again this year. Junior saves clients an average of 10 hours per week, and we're expanding fast into new verticals including investment banking, hedge funds, and research firms. 💡 ROLE DESCRIPTION As one of our first AI/ML hires, you'll have the unique opportunity to: * Work on groundbreaking projects involving a mix of LLMs and traditional ML * Come up with novel research synthesis ideas using NLP techniques and prove their business value * Collaborate closely with our external partners to fuel our growth * Contribute to product decisions, direction and prioritization * Shape our engineering culture We’re live with >20 enterprise clients, and already have 10s of thousands of calls on our platform. There’s lots of data to improve on and build. 🔧 SAMPLE SET OF PROJECTS * Build a search ranking algorithm across open text, integrating signals from user interactions (e.g., edits, copies, and engagement metrics) alongside semantic and PostgreSQL-based text search to improve relevance and ranking across multiple features. * Build your coworker: build an in-house prompt system that can use production signals or human labels to constantly and iteratively refine and improve prompts and output * Build and open source a benchmark for evaluating LLM output on investment research specific tasks * Build an agentic entity deduping system that uses signals from within the app and valuable external data sources / google to clean up the last mile of great STT output: entity resolution * Build a knowledge graph custom to every research sprint that begins as highly unstructured interview data and leverages agentic infrastructure to pull in data where necessary and constantly rebalance the graph and the derived output. 🔥 ABOUT YOU We're looking for product-minded ML engineers who: * Based in NYC * Are opinionated about their work and eager to contribute to product decisions * Have strong communication skills and a desire for a client-facing role * Are able to break down AI/ML problems for a non-technical audience clearly and succinctly, and translate their suggestions into testable experiments. * Have experience building LLM systems from the ground up in a product-focused organization, and can help drive everything from data gathering / logging → prompt optimizing * Have a strong bias to action, highly organised and experienced working with senior stakeholders to deliver large projects end to end * Excited to build a team 🌵 BENEFITS All the usual benefits (competitive pay and equity, private healthcare etc). Unusual benefits: * Gym membership * In-office cook * Summers working in Greece by the beach 📩 HOW TO APPLY If you're excited about the opportunity to drive innovation at Junior, we'd love to hear from you! We can't wait to meet you! 🙌
Forward Deployed Engineer About the role FDEs are how Duvo brings AI to life inside our customers. You sit at the front line, map their workflows on the Duvo platform, improve the underlying processes, and turn the result into running agents that deliver tangible business impact. Scoping, build, debug, handover, expansion. You own the customer outcome end to end and you own the relationship that goes with it. You won't write the core product. You will write the glue: integration scripts, agent configurations, data transformations, prototypes, whatever it takes to get an agent running against a customer's actual systems. You'll spend real time inside their stack and inside their team. If you like the messy middle between AI, process, and customer, this is the role. You will be deployed directly with our clients, mostly in onsite/hybrid mode of work, you will travel a lot. What you'll do * Embed with customers from kickoff through go-live and beyond * Map customer workflows directly on the Duvo platform and decide what's worth automating, what's worth fixing first, and what's blocked * Improve the underlying processes where it matters. Don't automate broken flows, redesign them * Translate business logic into agent behavior: actions, decision rules, exception paths, fallbacks * Configure and ship agents against real customer systems (ERPs, portals, spreadsheets, email, custom tools) * Write integration code, scripts, and prototypes when the situation calls for it * Debug live agents in production environments and iterate quickly * Build and own the working relationship with customer stakeholders, from operators to sponsors * Run working sessions, hold your own with technical counterparts, and earn the right to push back * Make AI real for the customer. Move them from pilot energy to measurable business outcomes * Capture reusable patterns, templates, and runbooks so the next deployment is faster * Send recurring workflow patterns back to Product and Engineering as real signal What success looks like * Multiple agents in production across clients, with measurable business impact * Customers point to specific KPIs that moved because of your work * Customers treat you as a trusted operator and want you in the room * Process improvements you drove are visible in the customer's day-to-day, not just in the agent * Transformation Managers want you on their hardest accounts * Accounts you own expand because the relationship and the results are both there * Each deployment is faster than the last because you've left behind reusable assets Who you are Experience 5+ years in roles where you've shipped against real customer environments. We're prioritizing AI-native candidates: people who have been building, deploying, or operating AI and agentic systems in customer-facing settings, not adjacent to them. Likely backgrounds: * Forward-deployed engineering or solutions engineering at an AI-first company * Applied AI / ML engineering with direct customer exposure * Technical consulting on AI or automation projects where you owned delivery and the client relationship * Operations or product roles where you've built and shipped AI-powered tooling against messy real-world systems Retail, e-commerce, or CPG background is a strong plus. Fluency in any operational domain (supply chain, procurement, category management, merchandising, finance ops, supplier management, warehousing) helps you ramp faster on customer accounts. What matters most is that you can pick up a new business quickly, see how to improve it, and build something with AI that actually works. Skills * Hands-on with modern AI tooling: LLMs, agent frameworks, prompt engineering, evals, MCP, retrieval * Strong systems thinking and engineering judgment * Process design instinct. You can spot waste, redundancy, and bad handoffs and propose something better * Comfortable in code-adjacent territory: SQL, Python or JS scripting, APIs, JSON, webhooks, light data work * Familiarity with ERPs and enterprise stacks is a plus * Able to lead a working session, manage a stakeholder, push back on bad scope, and explain trade-offs without hiding behind jargon * Fluent English. Additional European languages are a plus Mindset * Bias to ship * Comfortable with ambiguity, half-built systems, and changing requirements * Low ego, high standards * Customer-obsessed. You build trust by being useful, not by being polished * Commercially aware and able to help customers believe in what you're building * Honest about what's working and what isn't What we offer * A small, sharp team that values ownership and candor * Real product and culture leverage from day one * Customer-facing impact: your work ships and moves the business * Competitive comp including equity * Option to trade cash for equity HOW WE HIRE We respect your time and aim to move fast: 1. Discovery call with a senior teammember (online, 30 min). We'll talk about you, how you think and whether there's mutual fit. 2. Remote task (async, time-boxed, ~1 hour). Build a small product end-to-end. Not LeetCode. 3. Deep dive to the remote task with hiring manager (online, ~1 hour). We'll go deeper on your experience, system design, product thinking, and collaboration. No trick questions — we want to see how you think and build. 4. Trial day (online or onsite, 1 day) 5. Founder interview (online, 20min) We're not looking for perfection. We're looking for someone who can walk into a customer's operation, figure out what matters, fix the process, ship the agent, and turn AI into outcomes the business can feel.
ABOUT US ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Founders: Early GPU cloud (9 figure exit). Investors: Garry Tan / YC + Founder of one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), top-tier angels. About the Role You’ll architect, build, and maintain the distributed systems, APIs, and backend infrastructure that power world-class AI research and deployment. Your work will enable rapid experimentation, robust data flows, and scalable compute. This is a hands-on role for someone who thrives in small, high-agency teams. Responsibilities * Design and implement scalable backend services, data pipelines, and APIs * Build infrastructure for high-throughput, low-latency AI/ML workflows * Set up and manage databases (SQL/NoSQL), including schema design, replication, indexing, and performance optimization * Optimize for performance, reliability, and security at every layer * Implement observability best practices (logging, tracing, monitoring, performance tuning) * Work closely with research and infra teams to support experimental velocity * Contribute to core engineering culture, including code reviews and mentorship Requirements * 3+ years building distributed systems or high-availability backends (preferably in fast-moving or high-stakes environments) * Strong proficiency in Python and at least one systems language (e.g., Go, Rust, C++) * Experience with cloud platforms, containerization, and orchestration (AWS/GCP/Azure, Docker, Kubernetes) * Database setup, management, and optimization experience (SQL/NoSQL) * Relentless focus on code quality, correctness, and performance * Comfortable leveraging modern AI coding tools (Cursor, Claude Code, Codex, etc.) to increase productivity & code output while maintaining high code quality, maintainability, and structure Bonus – Agentic workflows / applied AI integration * Experience supporting or integrating agentic AI workflows into backend systems (e.g., LangChain, LangGraph, Semantic Kernel, Haystack, or custom frameworks) * Familiarity with persistence/checkpointing, streaming pipelines, and vector/knowledge store integrations Why Join ATG We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we’d love to meet you. * Work on AI with a massive market opportunity * Early team of repeat founders backed by top investors * High agency, talent dense, zero bureaucracy