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Vijayawada | Expertini

Urgent! AI Engineer (Generative AI, AWS, LangChain) Job | Cuedo Analytics

AI Engineer (Generative AI, AWS, LangChain)



Job description

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.


Required Skill Profession

Computer Occupations



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