AI Engineer

1 week ago


New Delhi, India Cuedo Analytics Full time

About the RoleWe’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 ResponsibilitiesDesign, 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 & Experience3+ 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 HaveExperience 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 UsBuild 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.


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