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    Home/Jobs/Senior AI Engineer

    Senior AI Engineer

    Teak

    United States
    5+ years
    Today
    ₹23–44 LPA
    Full-time
    Remote

    Skills Required

    LLM
    RAG
    LangChain
    Anthropic
    OpenAI
    LLM evaluation frameworks
    Prompt Engineering
    LangGraph
    AWS Bedrock Agents
    Model Context Protocol
    vector search systems
    tool-calling
    AWS
    GCP
    Azure

    Description

    Teak is reinventing refunds with a proprietary SaaS embedded refund protection platform. The Senior AI Engineer will lead the design and development of agentic AI systems integrated with Teak's platform APIs.

    Company: Teak

    Role: Senior AI Engineer

    Location: Remote

    Experience:

    • 5+ years of professional software engineering experience
    • At least 2 years focused on production AI/LLM application development

    Key Skills:

    • Python
    • Production AI systems
    • LLM integration
    • Agentic AI systems
    • LangGraph
    • LangChain
    • AWS Bedrock Agents
    • Anthropic API
    • OpenAI API
    • RAG pipelines
    • Vector search systems
    • Model Context Protocol (MCP)
    • Tool-calling patterns
    • LLM evaluation frameworks
    • AWS
    • GCP
    • Azure
    • Backend development
    • Django or similar framework
    • Testing
    • Code quality
    • System design

    Qualification:

    • Bachelor's Degree in Computer Science, Engineering, or related field or equivalent practical experience

    Role Focus:

    • Design, build, and maintain production-grade agentic systems and multi-agent orchestration
    • Develop MCP servers and tool integrations connecting AI agents to platform APIs and partner systems
    • Orchestrate LLMs across the AI layer with prompt and system-prompt strategies
    • Build RAG pipelines grounding agent responses in policy and product data
    • Implement compliance and safety guardrails for AI output
    • Build evaluation frameworks to monitor and improve agent performance and output quality
    • Build and operate AI infrastructure on AWS with logging and tracing
    • Contribute to backend services, APIs, and platform improvements in Python
    • Participate in code reviews, document system design and integration patterns
    • Engage in Agile workflows and join on-call rotation

    Additional responsibilities:

    • Explain AI system design to technical and non-technical stakeholders
    • Maintain reliable internet connection and appropriate home office workspace

    Nice to have:

    • Background in compliance-sensitive industries such as insurance, fintech, or legal
    • Experience operating LLM systems at high volume with attention to latency, cost, and caching
    • Familiarity with AWS Bedrock or similar managed AI platforms and agent runtimes
    • Experience with model fine-tuning, customization, or distillation
    • Contributions to open-source AI tooling or frameworks

    Other:

    • Fully remote working environment
    • Competitive salary and equity opportunities
    • Unlimited paid time-off
    • Medical, dental, and vision benefits
    • Annual bonus program
    • 401k matching
    • $100/month for event ticket purchase
    • Company sponsored events

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    Functions, Tools and Agents with LangChain

    Coursera

    Advanced LangChain covering function calling, tool use, and conversational agents.

    Large Language Models: Application through Production

    edX

    Production-focused LLM course covering deployment, monitoring, and scaling.

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