Full Stack AI Developer

Full Stack AI Developer - Generative AI, LLMs, and Scalable Applications

Job Summary:

Full Stack AI Developer

Key Responsibilities:

• Design, develop, and maintain

  AI-powered full stack applications

  .


• Build and optimize

  REST APIs

  using

  FastAPI/Flask

  , including authentication, deployment, and integration with LLMs and vector databases.


• Create, test, and containerize

  backend services

  , ensuring robust deployment using Docker and CI/CD pipelines.


• Implement

  Generative AI features

  using models from Hugging Face, OpenAI, or LangChain/LlamaIndex.


• Develop

  Streamlit or React

  front-ends to demonstrate AI capabilities through interactive dashboards and tools.


• Integrate

  retrieval-augmented generation (RAG)

  and

  agentic AI

  concepts into product workflows.


• Apply

  best practices in software engineering

  including Git version control, testing, debugging, and documentation.


• Work with

  cloud platforms (AWS, Azure, GCP)

  and monitor AI systems in production environments.

Required Technical Skills:

Core Python Development

• Proficiency in

  Python 3

  with experience in syntax, control flow, data structures, functions, error handling.


• Familiar with

  file I/O

  , modules, decorators, list/dict comprehensions, and exception management.

Scientific & Data Libraries

• NumPy

  : Array operations, broadcasting.



• Pandas

  : Data manipulation, aggregation, data cleaning.



• Database Integration

  : SQL, SQLite, MongoDB, Postgres; CRUD operations; vector DBs (Chroma, PGVector, FIZZ).

API Development

• RESTful API design with

  FastAPI

  or

  Flask

  .


• Concepts like query/path parameters, async/await, dependency injection, request validation, JWT/OAuth2 auth.


• Vector DB integration and streaming LLM responses.

Generative AI / LLMs

• Understanding of

  Transformer architectures

  ,

  LLMs

  (GPT, BERT, LLaMA).


• Working knowledge of

  LangChain

  ,

  LlamaIndex

  ,

  Hugging Face Transformers

  .


• Hands-on experience with

  prompt engineering

  , parameter tuning, RAG, and agent-based workflows.

Deployment & Containerization

• Proficient with

  Docker

  , Dockerfiles, and Docker Compose.


• Familiar with

  CI/CD pipelines

  , GitHub Actions, and deploying containerized services.

Frontend Development

• HTML5, CSS3

  , and modern

  JavaScript (ES6+)

  .


• Experience with

  Streamlit

  for rapid AI dashboards.


• Strong grasp of

  React.js (with TypeScript)

  : Hooks, component state, form validation, async data fetching, and UI libraries (Material-UI, Tailwind).


• Familiarity with building conversational UIs, integrating streaming outputs via WebSockets/SSE.

Desirable Skills:

• Experience with

  cloud services

  : AWS, Azure, or GCP for hosting, AI/ML services, and serverless deployments.


• Monitoring and logging for AI systems (e.g., Prometheus, ELK stack).


• Familiarity with

  testing frameworks

  like pytest, httpx, React Testing Library.


• Exposure to

  PDF extraction

  ,

  OCR tools

  (e.g., PyMuPDF, Tesseract).


• Good understanding of

  frontend accessibility (A11y)

  and performance optimization.

Soft Skills:

• Strong communication and documentation skills.


• Problem-solving mindset with the ability to independently debug complex systems.


• Ability to collaborate across cross-functional teams (AI/ML, DevOps, Frontend, Product).

Educational Qualification:

• Bachelor s or Master s degree in Computer Science, Data Science, AI/ML, or related field.


• Certifications or hands-on experience in Generative AI/LLMs is a plus.

Summary:

end-to-end AI applications