ReflectionAI Logo

ReflectionAI

Forward Deployed Engineer Lead

Reposted 21 Days Ago
Be an Early Applicant
In-Office
New York, NY, USA
Senior level
In-Office
New York, NY, USA
Senior level
The Forward Deployed Engineer will lead the deployment of AI solutions, working closely with sales and research teams, ensuring effective solutions for enterprise needs.
The summary above was generated by AI
Our Mission

Reflection’s mission is to build open superintelligence and make it accessible to all.

We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.

Role Overview

We’re seeking an exceptional technical leader to build and scale Reflection’s Forward Deployed Engineering function within the Applied AI team. This team plays a critical role in bridging our cutting-edge AI research with real-world enterprise deployments. As a founding Forward Deployed Engineer, you will own the end-to-end technical strategy, execution, and delivery of complex agentic applications, from early pre-sales discovery through production deployment.

What You'll Do
  • Partner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications.

  • Architect and build complex agentic systems using state-of-the-art models, orchestrating sophisticated LLM workflows and integrating deeply with enterprise infrastructure.

  • Collaborate with research teams to adapt and fine-tune models for customer-specific needs, contributing to our internal codebase for inference, fine-tuning, and evaluation.

  • Own end-to-end deployments across hybrid environments (public cloud, VPC, and on-premises), ensuring production-grade scalability, performance, and reliability.

  • Shape and scale the Forward Deployed Engineering organization by defining playbooks, best practices, technical standards, and mentorship to support team growth.

What We're Looking For
  • Strong software engineering background with experience shipping production-grade systems (Python, Typescript)

  • Proven track record of deploying enterprise software in cloud or hybrid environments using modern DevOps practices (Docker, Kubernetes, and CI/CD).

  • Deep understanding of machine learning concepts and hands-on experience with modern AI stacks, including vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning.

  • 6+ years of software engineering experience, including 2+ years in a technical leadership capacity delivering AI-driven enterprise solutions (e.g., Lead Forward Deployed Engineer, Tech Lead, or Engineering Manager).

  • Demonstrated ability and interest to work in customer-facing environments, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes.

  • Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.

What We Offer:

We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier 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 the best talent globally.

  • Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.

  • Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.

  • Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.

  • Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

Top Skills

Ci/Cd
Docker
Kubernetes
Python
Typescript
HQ

ReflectionAI New York, New York, USA Office

300 Kent Ave, New York, New York, United States, 11249

Similar Jobs

12 Days Ago
Hybrid
New York, NY, USA
Senior level
Senior level
Artificial Intelligence
Lead the technical strategy and execution of AI solutions, mentoring teams, engaging with customers, and ensuring product alignment with market trends.
Top Skills: AWSAzureGCPHugging FaceLangchainPythonPyTorch
18 Days Ago
Easy Apply
In-Office
New York, NY, USA
Easy Apply
Senior level
Senior level
Machine Learning • Software
As Lead Forward Deployed Software Engineer, you will oversee project delivery, collaborate with customers, and build and manage teams to solve engineering challenges.
Top Skills: Api DesignApplication DeploymentSoftware Engineering
An Hour Ago
Hybrid
New York, NY, USA
188K-313K Annually
Senior level
188K-313K Annually
Senior level
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The Senior Director of Global Third Party Risk Management oversees TPRM for 6,000 vendors, ensuring regulatory compliance and managing risks across various domains while leading a high-performing team.
Top Skills: D&BMoody'SOnspring

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account