Senior AI/ML PYTHON ENGINEER - India - Peak Hawks LLP

    Peak Hawks LLP
    Peak Hawks LLP India

    1 day ago

    Description

    Hiring:
    Senior AI/ML Python Engineer


    Location:
    Hyderabad (Madhapur)

    Work Mode: 2 Days Work From Office

    Experience: 6–14 Years

    Notice Period:
    Immediate / 15 Days

    We are looking for highly skilled Senior AI/ML Python Engineers to design and deliver enterprise-grade AI solutions in a fast-paced, innovation-driven environment.

    Key Responsibilities
    End-to-end design, development, and deployment of enterprise AI solutions
    Architect advanced AI systems including Agentic Workflows, LLM Integrations, MCP-based solutions, and RAG pipelines
    Develop scalable Python applications, REST APIs, and microservices
    Implement CI/CD, model evaluation, observability, and monitoring
    Provide hands-on technical leadership and architectural guidance
    Mandatory Skills
    AI / LLM Expertise
    Strong understanding of Transformers, Attention Mechanism, Tokens, Context Windows
    Hands-on with multiple LLM providers (Azure OpenAI, Anthropic, Llama, Qwen, etc.)
    Experience with decoding strategies, prompt engineering & context optimization
    Agentic Systems & Orchestration
    Multi-step agent workflows (Planner / Worker / Critic / Router / Supervisor roles)
    Experience with LangGraph, LangChain, Temporal, Orkes, Google ADK
    A2A (Agent-to-Agent) collaboration
    RAG & Knowledge Systems
    End-to-end RAG pipelines (ingestion → chunking → embedding → retrieval → synthesis)
    Hybrid search (Vector + Keyword + Filters)
    Enterprise data integration (PDF, HTML, SharePoint, SQL)
    MCP & Tools
    Model Context Protocol (MCP) implementation
    Secure tool integrations with validation and fallback strategies
    Guardrails & Evaluation
    Prompt injection defense
    ReAct patterns, self-critique flows
    Telemetry, token cost monitoring, performance optimization
    Tech Stack
    Python (Expert level)
    FastAPI / Flask / Django
    Kubernetes / Docker
    REST APIs & Microservices
    CI/CD, MLOps, DevOps practices
    Ideal Candidate
    Strong system design capability
    Enterprise AI deployment experience
    Experience optimizing cost, latency & performance

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