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Thermo Fisher ScientificPosted 1 week ago

Engineer II, Software

On-siteBengaluru, Karnataka, India

Full TimeMasters DegreeLarge

Job Summary

Design, develop, and deploy AI-powered solutions that enhance scientific and business applications by building and optimizing Generative AI and Agentic AI applications. Integrate Large Language Models, develop intelligent workflows, and contribute to the full application lifecycle from prompt engineering to deployment. Implement AI guardrails, output validation, and responsible AI practices while consuming REST APIs and developing microservices. Work with cross-functional teams using Python, LangChain, and vector databases to ensure scalable, reliable, and secure AI solutions within an Agile environment.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field
  • 2+ years of experience in AI application development or software engineering
  • Strong proficiency in Python
  • Hands-on experience with LangChain, LangGraph, and agent-based application development
  • Experience developing autonomous and multi-agent AI workflows
  • Experience working with Ollama for local LLM deployment and inference
  • Experience integrating and working with Large Language Models (OpenAI, Anthropic Claude, Gemini, Llama, Mistral, or equivalent)
  • Experience building Retrieval-Augmented Generation (RAG) applications
  • Experience designing AI agents using tools, tool calling, and function calling capabilities
  • Experience integrating external tools, APIs, databases, and enterprise systems into AI workflows
  • Strong knowledge of prompt engineering, prompt optimization, and prompt management
  • Experience implementing AI guardrails, output validation, content filtering, and responsible AI practices
  • Familiarity with vector databases such as ChromaDB, FAISS, Pinecone, or Azure AI Search
  • Experience consuming REST APIs and developing microservices
  • Experience with Git, Agile methodologies, and CI/CD practices
  • Strong debugging, analytical, and problem-solving skills
  • Excellent written and verbal communication skills

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