Generative AI

Gen AI Developer/Architect

Experience:

Work Location:

Must Have- Gen AI / LLM /Agentic AI

• Strong programming skills in

  Python

  with experience in building ML/NLP applications.
• Hands-on experience with

  Deep Learning, Machine Learning, and Natural Language Processing.

• Proficiency in working with

  LLMs

  (e.g., GPT,Gemini, LLaMA, Mistral) and

  RAG

  architecture.
• Experience with

  Agentic AI

  frameworks and autonomous agent design.
• Familiarity with

  FastAPI

  for building RESTful APIs.
• Experience with

  CI/CD pipelines

  and deploying solutions on

  Azure Cloud, GCP and AWS

• Solid understanding of data structures, algorithms, and software engineering principles.
• Bachelors or masters degree in computer science, AI, Data Science, or related field.
• Retrieval Augmented Generation (RAG): Hands-on experience in building and optimizing RAG pipelines from scratch
• Expert-level proficiency and hands-on experience with LangChain and/or LlamaIndex for building complex LLM applications, including chains, agents, memory, and tool integration.

Responsibility:

• Design and implement GenAI solutions leveraging LLMs, RAG pipelines, and Agentic AI architectures.
• Develop and fine-tune deep learning models for NLP tasks using frameworks like PyTorch or TensorFlow.
• Build scalable APIs using FastAPI to serve AI models and integrate with enterprise systems.
• Collaborate with data scientists and ML engineers to deploy models using CI/CD pipelines on Azure.
• Optimize model performance and ensure robustness in production environments.
• Stay updated with the latest research and advancements in generative AI and deep learning.
• Scalability & Performance:Ability to write efficient code and consider scalability and latency implications for Gen AI applications.
• Containerization:Practical experience withDockerfor packaging and deploying applications