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    Home/Jobs/Senior Software Engineer - Agentic AI Applications

    Senior Software Engineer - Agentic AI Applications

    Chegg

    Delhi
    7+ years
    Today
    ₹23–44 LPA
    Full-time
    Remote

    Skills Required

    LangChain
    OpenAI
    LLM
    RAG
    Google Gemini
    Python
    FastAPI
    React
    TypeScript
    Databricks AI Gateway
    AWS Bedrock
    Vertex AI
    Meta Llama
    DynamoDB
    PostgreSQL

    Description

    We are hiring a Senior Software Engineer to design, build, and own production-grade agentic AI applications that sit at the core of the Chegg Skills learning experience.

    Company: Chegg

    Role: Senior Software Engineer - Agentic AI Applications

    Location: Remote (India), Delhi

    Experience:

    • 7+ years of professional software engineering experience

    Qualification:

    • Strong full-stack depth across backend services and product surfaces
    • Production experience with Python (FastAPI/Flask)
    • Production experience with React + TypeScript

    Role Focus:

    • Architect and ship production agentic AI applications
    • Design and improve retrieval systems
    • Build the LLM application layer
    • Ship learner-facing AI experiences and operator-facing tools
    • Build evaluation infrastructure
    • Implement AI safety
    • Own production reliability for AI systems
    • Improve answer quality, groundedness, latency, and cost
    • Partner with product, design, data engineering, learning design, and platform/SRE teams

    Nice to have:

    • Experience shipping AI features for education, assessments, tutoring, grading, or personalized learning
    • Experience with at least one AI gateway (Databricks AI Gateway, Portkey, LiteLLM, or similar)
    • Production experience with at least one agentic/RAG framework — LangChain (especially ReAct + custom tools), LlamaIndex, or DSPy
    • Experience with at least one AI evaluation/observability platform — RAGAS, LangSmith, Arize Phoenix, DeepEval, or similar
    • Experience with workflow orchestration (Temporal, Airflow, or similar)

    More skills:

    Python (FastAPI), Kotlin/Java (Spring Boot), GraphQL (DGS/Apollo), REST, OpenAI (GPT-4 family), Anthropic Claude (via AWS Bedrock), Google Gemini (via Vertex AI), LangChain (ReAct agents, custom tools), Zilliz/Milvus, OpenAI embeddings, Temporal, Redis (ElastiCache), React + TypeScript, Auth0 (JWT + JWKS), AWS (ECS, Lambda, Secrets Manager), Docker, GitLab CI, New Relic, Rootly

    Other:

    • High ownership of technical design, delivery, and production outcomes
    • Fast iteration with strong engineering discipline — testing, observability, documentation, and design reviews
    • Close collaboration with product and design to turn ambiguous AI opportunities into shipped capabilities
    • Practical use of AI coding tools to move faster without compromising maintainability, security, or quality

    Prepare for this role

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

    Python for Everybody Specialization

    Coursera

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

    Python 3 Programming Specialization

    Coursera

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

    Generative AI with Large Language Models

    Coursera

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

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