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Senior Software Engineer_AI

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Senior Software Engineer_AI

Niharika Chakravarty

Senior Software Engineer_AI

Skills

Google Cloud PlatformDeep LearningPythonMachine LearningAIAWSAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

India

Work mode:

Remote

Published on:

14 September 2026

What they need


Senior Software Engineer

Who Were Looking For

Were looking for a Senior Software Engineer with 5+ years of experience who can build and deploy production-grade AI solutions. The ideal candidate combines strong Python and software engineering fundamentals, hands-on Generative AI experience, and excellent communication skills.

What Youll Do

  • Understand business problems and design effective AI solutions.
  • Build and deploy LLM, RAG, and Agentic AI applications for enterprise use cases.
  • Develop intelligent agents using frameworks such as LangChain, LangGraph, or CrewAI.
  • Build RAG pipelines using vector databases such as Pinecone, Weaviate, or FAISS.
  • Develop scalable Python APIs and backend services.
  • Work with customer data and technical teams to integrate AI solutions into production environments.
  • Manage AI solutions end-to-end — from data preparation and development to deployment, monitoring, and optimization.
  • Collaborate with Engineering, Product, and Solutions teams and provide product feedback.
  • Follow best practices for code quality, scalability, performance, and reliability.

What You Bring

  • 5+ years of hands-on experience in software engineering, AI/ML engineering, or backend engineering.
  • Strong Python skills and experience building scalable APIs and backend services.
  • Hands-on experience with LLMs, Generative AI, RAG, and/or AI Agents.
  • Experience with LLM platforms such as GPT, Gemini, or similar.
  • Hands-on experience with LangChain, LangGraph, CrewAI, or similar agentic frameworks.
  • Experience with vector databases and retrieval systems.
  • Strong understanding of Machine Learning/Deep Learning and production AI systems.
  • Experience working with customers or enterprise stakeholders.
  • Excellent communication and presentation skills.
  • Ability to work independently, manage multiple priorities, and operate comfortably in a fast-paced environment.

Good to Have

  • Experience with AWS, Azure, or GCP.
  • MLOps/production AI experience.
  • Experience in AI startups, product companies, or AI services environments.
  • Experience building customer-facing AI products.

Interested candidates please send your cv at [email protected]

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