Gen AI Full Stack Developer

• Design, build, and maintain

  AI/GenAI-powered applications

  , leveraging

  Python

  and modern frameworks.
• Work extensively with

  large language models (LLMs)

  implementing, fine-tuning, and managing them in production environments.
• Develop scalable APIs using

  FastAPI

  , ensuring high performance and low latency for AI-driven workflows.
• Perform

  data manipulation and analysis

  using libraries like

  Pandas and NumPy

  to support model development and experimentation.
• Apply

  software engineering best practices

  including version control (

  Git

  ), automated testing, CI/CD pipelines, and code reviews.
• Collaborate with cross-functional teams to design and deploy

  end-to-end AI/ML solutions

  , integrating MLOps practices for reliability and scalability.
• Deploy, monitor, and optimize applications using

  Docker, Kubernetes, Jenkins, and Terraform

  , with a focus on advanced

  CI/CD practices

  .
• Explore and implement

  Agentic AI

  architectures and orchestration frameworks to support multi-agent workflows and autonomous decision-making.

  Role & responsibilities

Key Qualifications & Experience

Mandatory Skills:

• Strong proficiency in

  Python

  , with hands-on experience in

  AI/GenAI frameworks

  .
• Proven expertise in

  implementing and managing LLMs

  in production.
• Experience with

  FastAPI

  for API design and development.
• Solid foundation in

  software engineering principles

  , including Git, CI/CD, and automated testing.
• Background in

  MLOps, ML engineering, or Data Science

  with a proven track record of maintaining AI solutions.
• Proficiency in

  DevOps tools

  : Docker, Kubernetes, Jenkins, Terraform.
• Hands-on experience with

  Agentic AI implementation

  .

Nice to Have:

• Familiarity with

  cloud platforms

  (Azure, AWS, or GCP) for deploying GenAI solutions.
• Experience with

  vector databases

  (FAISS, Pinecone, Chroma, Weaviate).
• Knowledge of

  prompt engineering, chaining, and orchestration frameworks

  (LangChain, LangGraph, CrewAI).
• Understanding of

  GraphQL APIs

  and real-time system design.

Soft Skills

• Strong analytical and problem-solving mindset.
• Ability to work in a

  collaborative and agile environment

  .
• Curiosity to explore

  emerging AI/Agentic frameworks

  .
• Excellent communication and documentation skills.
• Proactive ownership and initiative in delivering high-quality solutions.