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oracle

Assistant Manager

EXL Service
Bengaluru, IND
Full-time
Mid · 3+ years experience
Hybrid
Discovered 3 weeks ago
PythonFastAPILangGraphAutoGenLangChainLangSmith

Full Job Posting

Technical Execution

• Build and maintain high-performance REST/WebSocket APIs using FastAPI (Pydantic v2)

• Implement and optimize agentic AI systems using frameworks like LangGraph, Deep Agents, AutoGen, and LangChain

• Architect real-time, event-driven microservices using messaging queues like Apache Kafka

• Design clean, testable, maintainable services using SOLID principles, Python async, and type hints

• Integrate and optimize SQL, NoSQL, and vector databases (Postgres, MongoDB, ChromaDB, Pinecone)

• Run LangGraph/Deep Agents workflows in production with checkpointing, persistence, and human-in-the-loop controls, backed by LLM observability and evaluation tooling (e.g., LangSmith, Langfuse)

• Apply LLM safety guardrails (prompt-injection mitigation, PII handling, content moderation) in line with Banking, Insurance, and Healthcare compliance requirements

• Stay current with emerging trends in GenAI, deep learning, and AI orchestration frameworks

Minimum Qualifications

  • Bachelor's degree in Computer Science, Data Science, or related field
  • 3+ years of total professional experience, including:
  • 3+ years of hands-on Software Engineering experience in Python, FastAPI and relevant tech stack
  • 2+ years working specifically with GenAI and LLMs (GPT, Claude, LLaMA, etc.)
  • Track record of shipping production ML/AI products, with strong prompt-engineering skills, systems-level thinking, and the ability to diagnose and resolve production failures
  • Strong software engineering background with expertise in OOP and SOLID principles
  • Proficiency in Python 3.11+ (async/await, type hints, modern Python patterns, strict type checking)
  • Experience with agentic frameworks (LangChain, LangGraph, AutoGen, or similar)
  • Proven track record building production REST/WebSocket APIs and microservices
  • Experience with message streaming platforms (Kafka, Pulsar, or similar)
  • Strong knowledge of databases: SQL, NoSQL, and vector databases
  • Working knowledge of RAG pipelines (embeddings, chunking, retrieval) and LLM observability/evaluation tools (LangSmith, Langfuse, or similar)

Skills and Competencies

  • Proven ability to architect and deliver end-to-end GenAI solutions and multi-agent systems
  • Strong software engineering discipline: testing (unit, integration, performance), code review, documentation
  • Excellent communication skills with ability to explain complex technical concepts to non-technical stakeholders
  • Strategic thinking and problem-solving with a focus on scalability and maintainability
  • Leadership capability: mentoring, technical guidance, and cross-functional collaboration
  • Self-motivated with ability to work independently and drive projects to completion

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