AI Engineer
2 days ago
About the RoleWe’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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Sr. AI Engineer
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Lead AI Engineer
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AI Engineering Manager
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Backend Engineer – AI Applications
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