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.