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    Home/Jobs/Senior Software Engineer - GenAI Context Engineer

    Senior Software Engineer - GenAI Context Engineer

    CGI

    Hyderabad
    6+ years
    Today
    ₹23–44 LPA
    Full-time
    Hybrid

    Skills Required

    OpenAI
    LangChain
    LlamaIndex
    Azure OpenAI
    Vector Database
    Python
    LangGraph
    CrewAI
    Azure AI Search
    Elasticsearch
    OpenSearch

    Description

    This is a great opportunity to join a winning team at CGI, a leading IT and business process services firm. The company offers a competitive compensation package with opportunities for growth and professional development.

    Company: CGI

    Role: Senior Software Engineer - GenAI Context Engineer

    Location: Hyderabad, India, Andhra Pradesh | Hybrid (3 Days WFO)

    Experience:

    • 6+ years of experience in knowledge engineering, enterprise search, data engineering, AI engineering, or platform engineering roles
    • Experience building enterprise AI search or knowledge platforms in banking, financial services, healthcare, or other regulated industries
    • Experience designing ingestion pipelines, metadata frameworks, chunking strategies, and contextual retrieval systems

    Key Skills:

    • Python
    • API-based integrations
    • Retrieval-Augmented Generation (RAG)
    • semantic search
    • embeddings
    • vector databases
    • enterprise knowledge systems
    • Azure OpenAI / OpenAI
    • Azure AI Search
    • LangChain / Semantic Kernel
    • Elasticsearch / OpenSearch
    • CrewAI
    • LangGraph
    • LlamaIndex

    Role Focus:

    • Design and implement enterprise Retrieval-Augmented Generation (RAG) architectures for GenAI platforms and applications
    • Build and optimize semantic retrieval pipelines, vector search implementations, and contextual grounding frameworks
    • Develop ingestion pipelines for enterprise knowledge sources
    • Define metadata, taxonomy, ontology, chunking, and embedding strategies
    • Implement permission-aware retrieval and secure knowledge access
    • Design and optimize hybrid search architectures
    • Collaborate with Value Engineers, architects, and business stakeholders
    • Improve groundedness, citation accuracy, retrieval precision, and hallucination reduction across GenAI solutions
    • Maintain knowledge lineage, auditability, and contextual traceability for enterprise AI workflows

    Nice to have:

    • Support AI evaluation, observability, and continuous improvement initiatives for retrieval quality and search performance
    • Work closely with governance, security, and compliance teams to ensure responsible and secure enterprise AI knowledge access
    • Contribute to reusable enterprise knowledge engineering patterns and platform accelerators

    Other:

    • Competitive compensation package
    • Opportunities for growth and professional development
    • Paid time-off program
    • Profit participation and stock purchase plans
    • Ownership, teamwork, respect and belonging
    • Opportunities to deepen skills and broaden horizons
    • Global capabilities to scale ideas and access industry and technology expertise

    Prepare for this role

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

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Functions, Tools and Agents with LangChain

    Coursera

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

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