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Urgent! AI Engineer (Generative AI, AWS, LangChain) Job | Cuedo Analytics

AI Engineer (Generative AI, AWS, LangChain)



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 LangChainLLM 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 GitDocker, 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.




  • Required Skill Profession

    Computer Occupations



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