> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # Forward Deployed Engineer Canonical URL: https://nextmove.md/fde/jobs/c318a17794050b62 Reflection AI posts a FDE role to build what the customer runs in New York, NY with no pay posted. Own strategic customer engagements from technical discovery and architecture through proof-of-concept and production delivery, spanning inference, GPU infrastructure, post-training, and agent applications. Read from the employer’s posting on November 8, 2026. - [Reflection AI](https://nextmove.md/fde/companies/reflection-ai) First seen Apr 29, 2026 · open on Ashby as of Nov 8, 2026 Pay not posted New York, NY On-site Full-time Own strategic customer engagements from technical discovery and architecture through proof-of-concept and production delivery, spanning inference, GPU infrastructure, post-training, and agent applications. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fc318a17794050b62&placement=top) - [View posting at Reflection AI](https://jobs.ashbyhq.com/reflectionai/8b97b583-3cc6-4834-ae2c-d5aecf22ed7d/application) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay Not posted Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds what the customer runs Balance **Mostly building** Project stages 1. Pre-sales 2. Proof of concept 3. Implementation 4. Operations - **Coding**: Writes production code - **Builds for**: External customers - **Level**: Senior - **Role**: Technical lead ### What they ask for Experience - **5+ years** relevant experience delivering technical systems - **2+ years** experience in a technical leadership role Visa - **Sponsors visas** ### Do you meet what the posting states? The posting asks for 2+ years. How many do you have? The posting reads as a senior role. What level are you at now? The job is in New York, NY. Could you work there? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: New York, NY - **Work arrangement**: On-site - **Employment type**: Full-time - **Visa sponsorship**: Available ## More like this [Scale AI](https://nextmove.md/fde/companies/scale-ai) ### [Frontier Agents Engineer (Forward Deployed Engineering)](https://nextmove.md/fde/jobs/aa082644713e92d5) San Francisco, CA · New York, NY · +1 more 5mo ago $180,000–$225,000 [Groq](https://nextmove.md/fde/companies/groq) ### [Sr./Staff Forward Deployed Engineer](https://nextmove.md/fde/jobs/16d9ba28146fcaf4) Dallas, TX · San Francisco, CA · +1 more Remote 6w ago $270,400–$401,600 [Teleskope](https://nextmove.md/fde/companies/teleskope) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/35118ac00cd31bf9) New York, NY Hybrid 7w ago $140,000–$180,000 - [Other jobs at Reflection AI (1)](https://nextmove.md/fde/companies/reflection-ai) ## The job description from Reflection AI ### Our Mission Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all. ### Role Overview Forward Deployed Engineers are Reflection’s technical owners in every customer engagement. You will own the technical execution of strategic engagements end to end, from discovery and solution architecture through proof-of-concept and production delivery. The work spans every layer of the AI stack: GPU orchestration, inference, model post-training, and the custom harnesses and applications built on top. We’re seeking exceptional people with depth across the AI stack who can partner with customer’s ML and engineering teams, win and deliver strategic engagements, and turn what they learn in the field into input that shapes our models and platform. ### What You'll Do - **Technical Discovery & Architecture:** Lead deep technical discovery with customer teams across inference workloads, agentic applications and post-training. Understand customer needs and translate them into feasible technical solutions with clear success criteria to make Reflection the technical winner in every deal. - **Benchmarks & POCs: **Own proofs of concept end to end: define evaluation criteria with the customer, benchmark on their real workloads, and demonstrate Reflection’s quality, latency, and cost against competing options. - **Delivery:** Architect and build complex AI systems, including agentic applications, model-serving infrastructure, evaluations, and post-training recipes **.** Own the customer engagement and relationship: define project plans, sequence and manage work across workstreams, and keep customer stakeholders aligned. - **Product & Research Contribution:** Identify repeatable patterns and model gaps in the field that should shape our platform or model capabilities. Build prototypes, validate that they meet customer needs, and generalize them into Reflection’s platform and research priorities. - **Playbooks & Operating Model:** Help shape and scale the deployment organization by defining playbooks, reference architectures, reusable technical assets and best practices that make every teammate more effective and support the team’s growth. ### What We're Looking For - **Strong technical fluency:** comfortable reading, writing and reasoning about code, architecture and system behavior, with strong Python and experience shipping production-grade systems. - **A track record of leading complex technical projects: **coordinating contributors across workstreams, making practical tradeoffs, removing obstacles, and owning end-to-end delivery outcomes. - **Hands-on infrastructure and inference experience:** you’ve deployed multi-node GPU clusters (Kubernetes or Slurm), served large models in production (vLLM, SGLang), and rigorously benchmarked tradeoffs like quantization, caching, batching and speculative decoding. - **Agent engineering**: you’ve shipped LLM-based agents to production in the last 1–2 years, designed their harnesses (tool calling and MCP, context management, orchestration, guardrails) and the evals behind them, and know when post-training can be used. - **5+ years of relevant experience delivering technical systems**, including 2+ years in a technical leadership role (e.g., tech lead, engineering manager or founding engineer). - **Demonstrated ability and interest in customer-facing work:** understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes. You can go from a whiteboard session to debugging a deployment in the customer’s environment. - **Self-starter with high agency and ownership **who excels in fast-paced startup environments where the playbooks are still being written. ### What We Offer: We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported. - **Top-tier compensation:** Salary and equity structured to recognize and retain our talent globally. - **Stock options: **Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options. - **Health & wellness:** Comprehensive medical, dental, vision, and life, with an annual wellness allowance. - **Meals:** Lunch and dinner are provided in the office daily. - **Life & family:** 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys. - **Vacation days: **Unlimited paid time off in the U.S. and 30 days in the U.K. - **Sponsorship support: **We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable. - **Team building:** We have regular off-sites, happy hours, and team celebrations. * **Export Control Notice:** This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.* **Equal Employment Opportunity Statement** Reflection AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, disability, genetic information, veteran or military status, or any other characteristic protected by applicable law. We encourage applicants from all backgrounds to apply. We provide reasonable accommodations throughout the hiring process for applicants with disabilities, pregnancy-related limitations, or religious needs. If you need an accommodation, contact us at accommodations@reflection.ai. We will consider for employment qualified applicants with arrest and conviction records in accordance with applicable law, including the San Francisco Fair Chance Ordinance and the California Fair Chance Act. * **Candidate and Employee Privacy Notice: **We collect and process personal data about applicants for the purposes described in our * *Candidate and Employee Privacy Notice* [View posting at Reflection AI](https://jobs.ashbyhq.com/reflectionai/8b97b583-3cc6-4834-ae2c-d5aecf22ed7d/application) ## About Reflection AI Reflection builds open-weight AI models, software, and deployment infrastructure for developers, enterprises, governments, and sovereign entities. Late-stage private ## Similar jobs [Ultralytics](https://nextmove.md/fde/companies/ultralytics) ### [Solutions Engineer](https://nextmove.md/fde/jobs/85a1bd886c280432) New York, NY On-site 3mo ago Pay not posted [TribalScale](https://nextmove.md/fde/companies/tribalscale) ### [Forward Deployed Engineer (New York)](https://nextmove.md/fde/jobs/869494212b84a754) US Remote 3w ago Pay not posted [Thomson Reuters](https://nextmove.md/fde/companies/thomson-reuters) ### [Senior Software Engineer - AI, CoCounsel FDE](https://nextmove.md/fde/jobs/4062210d6364bfec) Frisco, TX · New York, NY · +7 more Hybrid New · 2d ago $118,400–$253,000 [Fractal](https://nextmove.md/fde/companies/fractal) ### [Architect, Forward Deployed Engineer (Cogentiq)](https://nextmove.md/fde/jobs/3beac1482a6bcd27) New York, NY 4w ago Up to $150,000 [OpenAI](https://nextmove.md/fde/companies/openai) ### [Forward Deployed Engineer (FDE), Legal-SF](https://nextmove.md/fde/jobs/f8a4d49298c2cba9) New York, NY Hybrid 2mo ago $185,000–$300,000 - [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior) - [Similar jobs in New York metro](https://nextmove.md/fde/jobs?region=nyc-metro) - [Similar jobs that build what the customer runs](https://nextmove.md/fde/jobs?role=builds-for-customers) Hiring at Reflection AI and want this page changed or removed? 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