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Senior AI Engineer

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 201-500Since 2018H1B SponsorCompany Site LinkedIn

Location

California

Posted

30 days ago

Salary

Not specified

Bachelor Degree5 yrs expEnglishAWSCloudDynamo DBJava ScriptNext.jsPythonType Script

Job Description

• Design, architect, and deploy AI-powered systems that directly impact member experience and operational efficiency • Build and optimize LLM-driven applications using advanced prompt engineering, RAG architectures, and agentic workflows • Design scalable AI pipelines using modern orchestration frameworks (LangChain, LangSmith, LlamaIndex, etc.) • Architect multi-agent systems capable of reasoning, planning, and executing complex multi-step tasks • Implement evaluation and monitoring frameworks to measure AI performance, detect hallucinations, and ensure reliability at scale • Own cloud-native AI infrastructure for performance, scalability, cost efficiency, and security • Partner with Product and Engineering leadership to identify and execute high-impact AI initiatives • Stay at the frontier of the AI ecosystem and translate emerging capabilities into production-ready systems • Establish internal standards, tooling, and best practices for AI development across the organization

Job Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, Business Administration, or a related field
5+ years of professional software engineering experience, including meaningful ownership of production systems
Significant hands-on experience building and deploying AI/ML systems in production
Strong proficiency in Python and TypeScript (Next.js a plus)
Deep experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock) and orchestration frameworks (LangChain, LangSmith, LlamaIndex)
Strong understanding of advanced prompt engineering techniques and LLM optimization strategies
Experience designing and deploying RAG systems, vector databases, and semantic search applications
Cloud infrastructure expertise (AWS preferred): Lambda, Step Functions, API Gateway, DynamoDB, S3
Strong understanding of LLM behavior: tokenization, embeddings, context limits, evaluation, and hallucination mitigation
Demonstrated track record of shipping scalable, production-grade AI systems — not prototypes or demos.

Benefits

Competitive salary, bonus opportunity, and equity package
Comprehensive Medical, Dental, and Vision benefits
A 401k retirement plan
Paid vacation and company holidays
Opportunity to make an impact at a rapidly growing mission-driven company transforming healthcare in the U.S.