Forward Deployed Engineer - AI Engineer
Reflection8 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
About Reflection
Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. Our team previously built frontier LLMs at labs like DeepMind, OpenAI, and Anthropic. We believe AI should be built in the open, with transparent research and collaborative development. That means giving enterprises, governments, and sovereign entities true ownership and control of AI that performs at the highest level. Our mission: make intelligence open and accessible to all.