Forward Deployed Engineer - AI Engineer
Reflection10 months ago
San Francisco, CA, USA or New York, NY, USAMid Level
H1B sponsor
Responsibilities
- Partner with deployment strategists and sales to understand enterprise needs, architect solutions, and develop agentic applications.
- Build agentic systems by orchestrating LLM workflows, integrating enterprise infrastructure, and deploying reliable production systems.
- Collaborate with research teams to adapt and fine-tune models for customer-specific requirements.
- Support end-to-end deployments across public cloud, VPC, and on-premises environments, ensuring scalability, performance, and reliability.
- Develop playbooks, processes, and best practices for the growing Forward Deployed Engineering organization.
Requirements
- Strong software engineering background with experience shipping production-grade systems using Python and TypeScript.
- Experience deploying enterprise software in cloud or hybrid environments using Docker, Kubernetes, and modern DevOps practices.
- Deep understanding of machine learning concepts and hands-on experience with vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning.
- At least 3 years of software engineering experience delivering AI-driven enterprise solutions.
- Ability and interest to work directly with customers, understand user needs, architect solutions, and deliver outcomes.
- Self-starter who demonstrates high agency and ownership in a fast-paced startup environment.
Benefits
- Top-tier compensation and equity, with no specific base salary amount stated.
- Comprehensive medical, dental, vision, life, and disability insurance.
- Fully paid parental leave for all new parents, including adoptive and surrogate journeys, plus family-planning financial support.
- Paid time off and relocation support.
- Daily lunch and dinner, regular off-sites, and team celebrations.
Tech Stack
Categories
Forward Deployed
About Reflection
Reflection is a New York–based, privately held research lab developing open foundational AI models and agentic coding tools for developers, enterprises, and public-sector users. The team includes former researchers from DeepMind, OpenAI, and Anthropic, and their work focuses on transparent, customizable systems that organizations can deploy with ownership and control.