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SDE II - AI

Job Overview

AI/ML Engineering, Generative AI, LLMs, RAG, Agentic AI, MCP, Python, REST API Development, Spark, Java/J2EE, Airflow, Databricks, GKE, GCP, Microsoft Azure, Databases, Caching, Big Data Analytics.

Key points

  1. We are sure that if you meet us, you will be infected too.

  2. Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related engineering discipline.

  3. Experience designing and building LLM-powered applications, including prompt engineering, Retrieval-Augmented Generation, vector search, and fine-tuning pipelines.

  4. Hands-on experience with agentic AI frameworks such as LangGraph, AutoGen, CrewAI, n8n, or ReAct-style agents. LangGraph is designed for customizable single-agent, multi-agent…

  5. Strong experience building REST APIs, microservices, and backend systems for production-grade applications.

  6. Experience with Model Context Protocol (MCP), including building or integrating MCP tools, servers, or capabilities. MCP enables servers to expose tools that language models…

  7. Good understanding of CI/CD, Docker, and containerized application development. Docker provides a standard way to package and run applications in lightweight containers with their…

Skills

Generative AIMachine LearningREST APIsAzureLLMsRAGGoogle CloudPython

Experience: 3–5 years

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