About the Role
We're looking for a passionateAI Engineerwith strong expertise inPython development, Generative AI, and AWS cloud technologies.
You'll design and build cutting-edgeLLM-powered applicationsthat streamline and enhance workflows particularly within theLife 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 usingLangChain,LLM APIs, andPython frameworks.
- Build scalable integrations betweendata pipelines, APIs, and AI systemsin the cloud.
- ImplementAgentic AIfeatures for autonomous reasoning, task planning, and contextual decision-making.
- Develop and optimize backend services usingPython (FastAPI, Flask, or Django)withAWS serviceslike Lambda, S3, and EC2.
- Create modular scripts fordata handling, prompt engineering, andworkflow automation.
- Work withvector databases(Pinecone, FAISS, Chroma) forretrieval-augmented generation (RAG)pipelines.
- Collaborate with domain experts to convert Life Sciences workflows into intelligent software solutions.
- Ensure high standards of code quality, documentation, andDevOps best practices.
Required Skills & Experience
- 3+ years in software engineering with solidPython ecosystemexperience (frameworks, libraries, scripting).
- 1+ year of hands-on experience inGenerative AIdevelopment (LangChain, OpenAI, or similar LLM frameworks).
- Proficiency inPython API frameworks(FastAPI/Flask) and data libraries (Pandas, NumPy, Requests, JSON).
- Strong working knowledge ofAWS Cloud Services(Lambda, API Gateway, DynamoDB, S3, EC2).
- Experience developing or integratingLLM-based toolssuch as chatbots, summarizers, or intelligent assistants.
- Familiarity withGit,Docker, andREST API integration.
- Exposure toLife Sciences, Healthcare, or Pharmaceuticaldata is a plus.
- Strong problem-solving, debugging, and analytical skills.
Good to Have
- Experience inprompt engineeringandretrieval-augmented generation (RAG).
- Knowledge ofMLOpsorCI/CD pipelinesfor AI projects.
- Experience deploying AI services or Python-based automation tools to production.
- Understanding ofcloud securityanddata governanceprinciples.
Why Join Us
- Build impactfulGenerative AI solutionsin theLife Sciencessector.
- Work with the latest inPython, AI, and cloud technologies.
- Be part of acollaborative and innovativeteam that values creativity, ownership, and continuous learning.
