Forward Deployed Engineer, Lead - LLM Post-training

Reflection AI
New York, San Francisco
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceExperience: 6+ yearsSkills: ["Leadership","Communication","Customer-facing","Ownership","Problem-solving"]

Technical leader responsible for building and scaling a Forward Deployed Engineering function within Applied AI. Owns end-to-end strategy, design, and delivery of enterprise agentic applications, from pre-sales discovery to production deployment, bridging AI research with real-world deployments in cloud and on-prem environments.

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Reflection AI
Reflection AI
10 months ago

Forward Deployed Engineer, Lead - LLM Post-training

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Source: Company careers pageValidated by: Fursa AI
Last checked: 24 minutes agoStatus: Live

Job Summary

Technical leader responsible for building and scaling a Forward Deployed Engineering function within Applied AI. Owns end-to-end strategy, design, and delivery of enterprise agentic applications, from pre-sales discovery to production deployment, bridging AI research with real-world deployments in cloud and on-prem environments.
Location: New York, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Sr. Manager level

Key Responsibilities

  • •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.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisability InsuranceParental LeaveRelocation

Key Requirements

  • •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).
  • •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.
  • •Demonstrated ability and interest to work in customer-facing environments, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes.
Experience:6+ yearsAIEnterprise softwareCloud computing
Skills:LeadershipCommunicationCustomer-facingOwnershipProblem-solving
Tech Stack:PythonTypescriptDockerKubernetesCI/CDVector databasesRAG pipelinesAgent orchestrationLLMInferenceFine-tuning

Company Brief

Reflection AI
Builds frontier autonomous AI systems focused on autonomous coding agents (product: Asimov) to create organizational superintelligence, founded by former DeepMind/Google researchers and hiring across SF, NYC, London.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: San Francisco, United States
Founded: 2024
WebsiteLinkedInGlassdoor