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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

    LLM
    RAG
    LangChain
    OpenAI
    Azure OpenAI
    Embeddings
    Vector Database
    LlamaIndex
    contextual retrieval systems
    permission-aware retrieval
    Azure AI Search
    Semantic Kernel
    CrewAI
    LangGraph
    Python

    Description

    CGI is a leading IT and business process services firm seeking a Senior Software Engineer - GenAI Context Engineer to join their Hyderabad team. The role involves building enterprise AI search and knowledge platforms with a focus on GenAI technologies.

    Company: CGI

    Role: Senior software Engineer - GenAI Context Engineer

    Location: India, Andhra Pradesh, Hyderabad

    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

    Key Skills:

    • knowledge graphs
    • ontology modeling
    • AI observability
    • enterprise governance frameworks
    • responsible AI
    • groundedness evaluation
    • enterprise compliance requirements for GenAI systems
    • Retrieval-Augmented Generation (RAG)
    • semantic search
    • embeddings
    • vector databases
    • enterprise knowledge systems
    • Python
    • API-based integrations
    • Azure OpenAI
    • OpenAI
    • Azure AI Search
    • LangChain
    • Semantic Kernel
    • Elasticsearch
    • OpenSearch
    • vector databases and embedding frameworks
    • ingestion pipelines
    • metadata frameworks
    • chunking strategies
    • contextual retrieval systems
    • enterprise data governance
    • access control
    • lineage
    • permission-aware retrieval
    • SharePoint
    • Confluence
    • Jira
    • document repositories
    • enterprise APIs
    • Azure
    • AWS
    • GCP
    • containerized environments
    • 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 including SharePoint, Confluence, Jira, APIs, databases, and document repositories
    • Define metadata, taxonomy, ontology, chunking, and embedding strategies to improve retrieval relevance and AI response quality
    • Implement permission-aware retrieval and secure knowledge access aligned with enterprise governance and compliance requirements
    • Design and optimize hybrid search architectures combining vector search, keyword search, and knowledge graph capabilities
    • Collaborate with Value Engineers, architects, and business stakeholders to translate enterprise knowledge into scalable AI-ready knowledge structures
    • Improve groundedness, citation accuracy, retrieval precision, and hallucination reduction across GenAI solutions
    • Maintain knowledge lineage, auditability, and contextual traceability for enterprise AI workflows

    Additional responsibilities:

    • 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:

    • Full-time employment
    • Hybrid work mode with 3 days work from office
    • Competitive compensation package with opportunities for growth and professional development
    • Benefits start from first day of employment including paid time-off program, profit participation, and stock purchase plans
    • Strong analytical, troubleshooting, and problem-solving skills required
    • Excellent communication and collaboration skills with ability to work across engineering, architecture, governance, and business teams
    • Life at CGI emphasizes ownership, teamwork, respect, and belonging
    • Employees are called members or partners to reflect ownership culture
    • Access to global capabilities and expansive industry and technology expertise
    • Supportive leadership focused on health, well-being, and career growth

    Prepare for this role

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

    Python for Everybody Specialization

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    Python 3 Programming Specialization

    Coursera

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