Job Summary

We are seeking a highly skilled GenAI Full -Stack Developer with
strong expertise in Large Language Models (LLMs), Python backend development,
and modern frontend frameworks. The ideal candidate will design, build, and
scale AI -powered applications by integrating LLM capabilities into user -facing
products using React, Redux, and modern UI practices.

You will collaborate closely with product managers, data
scientists, and platform engineering teams to deliver end -to -end Generative AI
solutions that are scalable, secure, and production -ready.

Key Responsibilities

GenAI & Backend

- Design,
develop, and deploy GenAI -powered applications using LLMs (OpenAI, Azure
OpenAI, Anthropic, or open -source models).

- Implement
prompt engineering strategies including prompt templates, versioning, and
optimization.

- Build
scalable backend services using Python (FastAPI / Flask / Django).

- Develop
and integrate RAG (Retrieval -Augmented Generation) pipelines with vector
databases such as FAISS, Pinecone, Weaviate, or Chroma.

- Implement
agentic workflows, tool -calling mechanisms, and multi -step reasoning
pipelines.

- Optimize
inference latency, token usage, and cost efficiency.

- Implement
logging, tracing, monitoring, and evaluation frameworks for LLM outputs.


Frontend Development

- Develop
responsive and scalable user interfaces using React.js.

- Manage
application state using Redux / Redux Toolkit.

- Build
reusable UI components with HTML, CSS, and modern styling frameworks
(Tailwind CSS, Material UI, or similar).

- Integrate
frontend applications with AI backend APIs.

- Implement
real -time user experiences such as streaming responses and chat
interfaces.

Full -Stack & Platform Engineering

- Design
and implement RESTful APIs and/or GraphQL services.

- Develop
authentication, authorization, and role -based access control for AI -driven
applications.

- Deploy
and scale applications on cloud platforms (AWS / Azure / GCP).

- Collaborate
on CI/CD pipelines and containerization (Docker; Kubernetes is a plus).

- Ensure
application security, data privacy, and compliance best practices for AI
systems.


Required Skills

Core Skills

- 4–6
years of experience in software development.

- Strong
proficiency in Python programming.

- Hands -on
experience with Generative AI / LLM -based systems.

- Experience
integrating LLM APIs and working with open -source models.

- Strong
knowledge of React.js, Redux, HTML, and CSS.


GenAI & Machine Learning

- Experience
in prompt engineering and prompt optimization techniques.

- Strong
understanding of RAG architectures, embeddings, and vector databases.

- Familiarity
with LLM orchestration frameworks (LangChain, LlamaIndex, or similar).

- Understanding
of token limits, context windows, and hallucination mitigation strategies.


Frontend

- Proficiency
in modern React patterns (hooks, functional components).

- Experience
with Redux for state management.

- Strong
understanding of API integration and asynchronous workflows.

- Knowledge
of UI/UX best practices for AI -driven interfaces.


Positive to Have

- Experience
building AI agents and multi -tool orchestration systems.

- Knowledge
of model fine -tuning techniques (including LoRA).

- Experience
implementing streaming responses using WebSockets or Server -Sent Events
(SSE).

- Familiarity
with LLM observability tools such as Langfuse, PromptLayer, or
OpenTelemetry.

- Experience
developing chatbots, copilots, or AI assistants.