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Python Gen AI Developer

  • Not specified

Posted 20 hours ago

About the role

Python GenAI Developer — 6+ Years -FTE
Please call @9752227423
Email- yogita@tspls.com

Location; Chennai/Pune

Budget: 25 LPA

Slots: tomorrow- 11,12,1,2, wednesday-11,12,1,2

Experience: 6+ years in Python development, with strong hands-on experience in Generative AI, LLM applications, and production-grade AI solutions.

Core requirements:

· 6+ years of strong Python development experience.

· 2+ years of hands-on experience building Generative AI / LLM applications.

· Strong experience with RAG, prompt engineering, embeddings and vector databases.

· Hands-on experience with Azure OpenAI / OpenAI APIs or equivalent LLM platforms.

· Experience with LangChain, LlamaIndex or similar GenAI frameworks.

· Strong knowledge of FastAPI/REST APIs, microservices and asynchronous Python.

· Experience building and deploying AI applications on Azure/AWS/GCP.

· Knowledge of Docker, Git and CI/CD.

· Experience with vector databases such as Azure AI Search, Pinecone, FAISS, Weaviate or Chroma.

· Understanding of LLM evaluation, hallucination reduction, guardrails and responsible AI.

· Experience integrating GenAI solutions with enterprise data sources, APIs and databases.

· Strong debugging, optimization and production-support experience.

· Good communication skills and ability to work directly with business/technical stakeholders.

Preferred: Azure AI certifications, experience with agentic AI, AI agents, tool/function calling, LangGraph, and enterprise-scale GenAI implementations.CIrr

Pay: ₹400,000.00 - ₹2,500,000.00 per year

Benefits:

  • Cell phone reimbursement
  • Flexible schedule
  • Food provided
  • Health insurance
  • Internet reimbursement
  • Leave encashment
  • Life insurance
  • Paid sick time
  • Paid time off
  • Provident Fund

Application Question(s):

  • What is the notice period Last Working day
  • How many years of experience in python
  • Experience in Agentic AI?

Experience:

  • Generative AI: 2 years (Required)

Work Location: Hybrid remote in Pune, Maharashtra

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