---
title: 'Forward Deployed Engineer at Reflection'
canonical: 'https://feeny.ai/job/forward-deployed-engineer-reflection-new-york-x9rray3ca2qx'
type: 'job'
last_seen: '2026-11-05'
---

# Forward Deployed Engineer at Reflection

- **Company:** Reflection
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-11-03
- **Last confirmed live:** 2026-11-05
- **Apply:** https://jobs.ashbyhq.com/reflectionai/8b97b583-3cc6-4834-ae2c-d5aecf22ed7d

## Job description

## 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](https://cdn.sanity.io/files/irpbdun9/production/ee08c38bf22bd45a3f3a81f6a7abddb9210726b7.pdf)

## About Reflection

## Company Overview
- **One-liner**: Reflection is an AI lab building frontier open-weight models and superhuman coding agents, founded by former researchers from DeepMind, OpenAI, and Anthropic.
- **Entity Type**: Private (funding stage: Series B)
- **Headquarters**: New York, New York, United States
- **Founded**: 2024 (seed round in September 2024)
- **Founders**: Misha Laskin (Co-Founder, CEO), Ioannis Alexandros Antonoglou (Co-Founder, President & CTO)

## Core Business
- **Primary industry/industries**: Artificial Intelligence (AI research and development), Software Development
- **Target customers**: Enterprises, governments, sovereign entities, and developers seeking open, high-performance AI models and autonomous coding agents (B2B, B2G).
- **Mission or purpose statement**: "Make intelligence open and accessible to all" – building frontier open-weight models with transparent research and collaborative development.

## Products & Services
- **Reflection Open-Weight Models**: Frontier large language models (LLMs) designed for enterprise and sovereign use, offering ownership and control.
- **As I/O (Announced 2025)**: A production-ready platform "powered by Reflection" that gives organizations a complete, integrated system for deploying AI agents and workloads.
- **Autonomous Coding Agents**: Superhuman coding agents that automate knowledge work performed on a computer (core research focus).

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: **Total Funding** – $2.13 billion across three rounds:
  - Seed (Sep 2024): $25M (2 investors)
  - Series A (Mar 2025): $105M (2 investors)
  - Series B (Sep 2025): $2.0B (12 investors)
- **Notable Investors/Partners**: Investor names not publicly listed in available sources; board includes Max Gazor and Raviraj Jain. Partners not disclosed.
- **Growth Signals**:
  - Headcount grew **411.4% YoY** to 126 employees (as of mid-2026).
  - Active job postings: **80** (up 1,233% YoY).
  - LinkedIn followers: 21,763 (up 508% YoY).
  - Offices in New York (HQ), San Francisco, London, Washington D.C., and Toronto.
  - Talent sourced from Google DeepMind (13), Meta (14), OpenAI (3), and other top labs.

## Competitive Advantages
- **Open-weight philosophy**: Differentiates from closed labs like OpenAI and Anthropic by giving enterprises and governments full ownership and control of frontier AI.
- **World-class team**: Founders and researchers previously built ChatGPT, Gemini, AlphaGo, and AlphaZero – proven track record in both LLMs and agent systems.
- **Massive capital**: $2.1B in funding allows aggressive compute investment and talent acquisition.
- **Full-stack AI capability**: From training frontier LLMs to deploying production-grade agent platforms (As I/O).

## Strategic Focus
- **Current priorities**: Scaling open-weight models to frontier performance; building autonomous coding agents that automate knowledge work; expanding enterprise and sovereign sales (e.g., "Regional Commercial Lead, Sovereign – Europe" job posting).
- **Direction**: Making open intelligence the default for enterprise and government AI adoption, with a strong emphasis on transparency and sovereign control.

## Why Work Here
- **Culture highlights**: Mission-driven ("Mission above ego"), high trust, extreme ownership, and collaboration. Values include "Trust through truth" and "One team".
- **Remote/hybrid/office policy**: In-office daily with lunch and dinner provided. Offices in New York, San Francisco, London, Washington D.C., and Toronto. Relocation support available.
- **Notable perks**:
  - **22 weeks paid parental leave** for all new parents (including adoptive and surrogate).
  - Unlimited paid time off (U.S.) / 30 days (U.K.).
  - Stock options for all employees.
  - Comprehensive medical, dental, vision, life insurance, and annual wellness allowance.
  - Visa sponsorship for exceptional talent.
- **Engineering culture**: Build from the ground up alongside top researchers and engineers; strong emphasis on research and engineering roles (62 technical employees out of 126).

## Sources
1. [reflection.ai](https://reflection.ai/)
2. [Reflection Careers](https://reflection.ai/careers)
3. [LinkedIn - Reflection](https://www.linkedin.com/company/reflectionai)
4. [The Org - ReflectionAI](https://theorg.com/org/reflectionai)
5. [Ashby Jobs - Reflection](https://jobs.ashbyhq.com/reflectionai)

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