AI Engineer

1 week ago

bangalore, India Cuedo Analytics Full time

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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