Reflection AI

2 months ago

Forward Deployed Engineer, Lead - AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Technical lead for the Forward Deployed Engineering function, owning end-to-end strategy, execution, and delivery of complex agentic applications from pre-sales discovery to production deployment. Lead architecting and deploying agentic systems, collaborating with research, deployment strategists, and sales to scale AI solutions across hybrid environments in enterprise settings.

Location: New York, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

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

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionLife InsuranceDisability InsuranceParental LeaveRelocationPaid LeaveEquityMeal AllowanceDinner

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

Experience:6+ yearsAIEnterprise software

Skills:PythonTypescriptDockerKubernetesCI/CDLLMVector databasesRAG pipelinesAgent orchestrationEvaluation

Languages:English

Tech Stack:PythonTypescriptDockerKubernetesCI/CDLLMVector databasesRAG pipelinesAgent orchestrationEvaluation

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

Website LinkedIn Glassdoor

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Reflection AI

2 months ago

Forward Deployed Engineer, Lead - AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: New York, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

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

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionLife InsuranceDisability InsuranceParental LeaveRelocationPaid LeaveEquityMeal AllowanceDinner

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

Experience:6+ yearsAIEnterprise software

Skills:PythonTypescriptDockerKubernetesCI/CDLLMVector databasesRAG pipelinesAgent orchestrationEvaluation

Languages:English

Tech Stack:PythonTypescriptDockerKubernetesCI/CDLLMVector databasesRAG pipelinesAgent orchestrationEvaluation

Company Brief

Reflection AI

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

Website LinkedIn Glassdoor