AI/ML Engineer

1 day ago

Pune, Maharashtra, India Synechron Full time

AI-ML Engineers/Lead

We are seeking an experienced
AI-ML engineer/lead
to design and implement intelligent, autonomous, and orchestrated AI systems that leverage LLMs, multi-agent frameworks, and enterprise data platforms. The ideal candidate will combine deep technical expertise in AI architecture with practical experience in building scalable, production-grade multi-agent systems integrated into business workflows.

Key Responsibilities:

  • Design & Develop agentic AI ecosystems
    using LLMs, reasoning frameworks (e.g., LangGraph, LangChain, DSPy, Agno,CrewAI,Bedrock), and orchestration layers for complex enterprise applications including agent roles, tool usage, memory management, observability, and coordination logic.
  • Integrate AI agents with enterprise data systems
    (e.g., AWS Aurora, Snowflake, or vector databases) and APIs for real-time data retrieval, enrichment, and decision-making.
  • Collaborate with data scientists, ML engineers, and product owners
    to translate business requirements into autonomous agentic workflows.
  • Implement observability and logging frameworks
    to track agent execution, decisions, and performance metrics.
  • Stay current
    on advancements in autonomous AI systems, LLM orchestration frameworks, and cognitive architecture trends.

Technical Skills:

  • Expertise with
    LLM frameworks
    such as LangGraph, LangChain, CrewAI, AutoGen, or Semantic Kernel.
  • Proficiency in
    Python, , or TypeScript
    for backend orchestration and API development.
  • Familiarity with
    LLMs and APIs
    from OpenAI (GPT-4/5), Anthropic, AWS Bedrock, Azure OpenAI, or similar platforms.
  • Experience with
    vector databases
    (Pinecone, Chroma, FAISS, Weaviate, etc.) and
    embedding-based retrieval
    .
  • Strong understanding of
    RAG (Retrieval Augmented Generation)
    ,
    tool-use
    , and
    multi-agent communication
    paradigms.
  • Experience integrating
    AI agents with enterprise systems
    (CRM, ERP, data lakes, or workflow automation tools).
  • Knowledge of
    cloud architecture and DevOps
    —AWS, Azure, or GCP.
  • Familiarity with
    data pipelines, observability (e.g., OpenTelemetry, Prometheus)
    , and
    security standards
    (RBAC, encryption, token management).

Preferred Qualifications:

  • 6+ years of experience in AI/ML engineering or architecture, including at least 2+ years in
    LLM or agentic AI development
    .
  • Bachelor's or Master's degree in Computer Science, AI, Data Engineering, or related field.

Soft Skills:

  • Strategic thinker with a passion for emerging AI technologies.
  • Excellent communication and documentation abilities.
  • Strong stakeholder management

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