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AI Engineer (Generative AI, AWS, LangChain)

AI Engineer (Generative AI, AWS, LangChain)

Cuedo Analyticsdehradun, uttarakhand, in
1 day ago
Job description

About the Role

We’re looking for a passionate  AI Engineer  with strong expertise in  Python development, Generative AI, and AWS cloud technologies .

You’ll design and build cutting-edge  LLM-powered applications  that streamline and enhance workflows — particularly within the  Life Sciences domain . This is an exciting opportunity to work on real-world GenAI solutions that combine automation, data, and intelligence.

Key Responsibilities

  • Design, develop, and deploy AI-powered solutions using  LangChain ,  LLM APIs , and  Python frameworks .
  • Build scalable integrations between  data pipelines, APIs, and AI systems  in the cloud.
  • Implement  Agentic AI  features for autonomous reasoning, task planning, and contextual decision-making.
  • Develop and optimize backend services using  Python (FastAPI, Flask, or Django)  with  AWS services  like Lambda, S3, and EC2.
  • Create modular scripts for  data handling, prompt engineering , and  workflow automation .
  • Work with  vector databases  (Pinecone, FAISS, Chroma) for  retrieval-augmented generation (RAG)  pipelines.
  • Collaborate with domain experts to convert Life Sciences workflows into intelligent software solutions.
  • Ensure high standards of code quality, documentation, and  DevOps best practices .

Required Skills & Experience

  • 3+ years in software engineering with solid  Python ecosystem  experience (frameworks, libraries, scripting).
  • 1+ year of hands-on experience in  Generative AI  development (LangChain, OpenAI, or similar LLM frameworks).
  • Proficiency in  Python API frameworks  (FastAPI / Flask) and data libraries (Pandas, NumPy, Requests, JSON).
  • Strong working knowledge of  AWS Cloud Services  (Lambda, API Gateway, DynamoDB, S3, EC2).
  • Experience developing or integrating  LLM-based tools  such as chatbots, summarizers, or intelligent assistants.
  • Familiarity with  Git ,  Docker , and  REST API integration .
  • Exposure to  Life Sciences, Healthcare, or Pharmaceutical  data is a plus.
  • Strong problem-solving, debugging, and analytical skills.
  • Good to Have

  • Experience in  prompt engineering  and  retrieval-augmented generation (RAG) .
  • Knowledge of  MLOps  or  CI / CD pipelines  for AI projects.
  • Experience deploying AI services or Python-based automation tools to production.
  • Understanding of  cloud security  and  data governance  principles.
  • Why Join Us

  • Build impactful  Generative AI solutions  in the  Life Sciences  sector.
  • Work with the latest in  Python, AI, and cloud technologies .
  • Be part of a  collaborative and innovative  team that values creativity, ownership, and continuous learning.
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