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Senior Analyst

Overview
eClerxeclerx.comPosted 3 days ago
Mumbai, Maharashtra, INPresencial
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Nivel de experiencia
Senior
Tipo de empleo
Tiempo completo
Experiencia laboral
5 to 8 years
Especialización
Software engineering

Responsibilities

  • Agentic system design:Architect and build single- and multi-agent systems with planning, tool use, memory, reflection, and human-in-the-loop controls for complex business workflows.
  • LLM implementation:Integrate and optimize LLMs (Anthropic Claude, OpenAI GPT, Google Gemini, Llama, Mistral) via APIs
  • RAG pipelines:Design retrieval-augmented generation solutions, including chunking, embeddings, hybrid search, re-ranking, and vector database management.
  • Tool and integration layer:Implement function/tool calling and Model Context Protocol (MCP) servers to connect agents with enterprise systems, APIs, and data sources.
  • Prompt and context engineering:Develop robust prompts, system instructions, structured outputs, and context-management strategies (including prompt caching) to maximize quality and cost efficiency.
  • Evaluation and observability:Build evaluation frameworks (golden datasets, LLM-as-judge, regression testing) and monitor agents for accuracy, latency, cost, hallucination, and drift.
  • Leadership:Mentor junior engineers, conduct code and design reviews, contribute to reusable accelerators, and support pre-sales technical discussions and PoCs.

Requirements

  • 5-8 years of experience in AI/ML or software engineering, with at least 1 or 2 years building LLM/GenAI applications in production.
  • Strong Python proficiency; experience with FastAPI/Flask, async programming, and clean, testable code.
  • Hands-on experience with the Anthropic Claude API/SDK (messages, tool use, extended thinking, prompt caching, vision, batch processing) and at least one other LLM provider.
  • Proven experience building AI agents using frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Claude Agent SDK.
  • Working knowledge of MCP, tool/function calling, and multi-agent orchestration patterns (planner-executor, supervisor, router, reflection).
  • Solid understanding of embeddings, vector databases (Pinecone, FAISS, Chroma) and search relevance tuning.
  • Experience with fine-tuning open-source models, and inference serving Ollama.
  • Collaboration with data engineers, product owners, architects, and client teams.

Key skills

  • Machine Learning
  • Generative AI
  • LLM
  • Python
  • FastAPI
  • Flask

Role Summary

We are looking for a hands-on Senior AI/ML Engineer to design, build, and deploy production-grade Agentic AI and Generative AI solutions.