Reflection
AI
ForwardDeployedEngineer,Lead-AIEngineer
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“Forward Deployed Engineer, Lead - AI Engineer at Reflection. Skills: Forward Deployed Engineering, AI Engineer, AI Solutions, agentic applications, LLM workflows, model fine-tuning, end-to-end deployments, technical leadership. 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 workflo”
What You'll Achieve.
deliver complex agentic applications; production deployment; delivering tangible outcomes; ensuring production-grade scalability, performance, and reliability
Industry & Context.
architect solutions; architect and build complex agentic systems; integrating deeply with enterprise infrastructure
What They're Looking For.
Must Have
software engineering background with experience shipping production-grade systems, Python, Typescript, deploying enterprise software in cloud or hybrid environments using modern DevOps practices, Docker, Kubernetes, CI/CD, Deep understanding of machine learning concepts, hands-on experience with modern AI stacks, vector databases, RAG pipelines, agent orchestration, evaluations, fine-tuning, 6+ years of software engineering experience, 2+ years in a technical leadership capacity delivering AI-driven enterprise solutions, Demonstrated ability and interest to work in customer-facing environments, understanding user needs, architecting solutions for real business problems, delivering tangible outcomes, Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written
What You'll Do.
Partner with Deployment Strategists and Sales to understand enterprise customer needs
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
Own end-to-end deployments across hybrid environments (public cloud
ensuring production-grade scalability
Shape and scale the Forward Deployed Engineering organization by defining playbooks
and mentorship to support team growth.
How You'll Work.
Team & Collaboration
Partner with Deployment Strategists and Sales; Collaborate with research teams
Communication Scope
understanding user needs; architecting solutions for real business problems; delivering tangible outcomes
Process & Methodology
technical strategy, execution, delivery of complex agentic applications
Full Job Description
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. ABOUT THE ROLE We’re seeking an exceptional technical lead to build and scale Reflection’s Forward Deployed Engineering function within the AI Solutions team. This team plays a critical role in bridging our cutting-edge AI research with real-world enterprise deployments. As a Forward Deployed Engineer Lead, 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-o
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