Description

We are looking for a skilled Full Stack Developer with strong Python expertise and hands-on experience in Generative AI (GenAI) technologies. You will be part of a dynamic team building intelligent, scalable applications that leverage Large Language Models (LLMs) and modern web frameworks to transform enterprise workflows.

 

 

Key Responsibilities

  1. Application Development: Build and maintain full-stack web applications integrating GenAI capabilities.
  2. GenAI Integration: Work with APIs such as OpenAI, Azure OpenAI, Hugging Face, and LangChain to embed LLM-driven features.
  3. Frontend Development: Develop responsive and user-friendly interfaces using React, Angular, or Vue.
  4. Backend Development: Build robust APIs and microservices using Python (FastAPI, Flask) or JavaScript (Node.js).
  5. Data Integration: Connect applications to SQL/NoSQL databases and vector stores like Pinecone, FAISS, or Weaviate.
  6. Prompt Engineering: Collaborate with AI engineers to design effective prompts and implement RAG (Retrieval-Augmented Generation) flows.
  7. Testing & Deployment: Implement CI/CD pipelines, write unit and integration tests, and deploy applications to cloud platforms (AWS, Azure).
  8. Team Collaboration: Work closely with product managers, designers, and ML engineers to deliver high-impact AI solutions.

 

Required Skills & Qualifications

  1. Programming Languages: Strong proficiency in Python
  2. Frontend Frameworks: Experience with React, Angular (v8+), or Vue.js.
  3. Backend Frameworks: Hands-on with FastAPI, Flask, experience with RESTful APIs and microservices.
  4. GenAI Tools: Familiarity with LLM APIs (OpenAI, Azure OpenAI), LangChain, and vector databases.
  5. Databases: Experience with PostgreSQL, MongoDB, DynamoDB, and vector stores.
  6. Cloud & DevOps: Exposure to AWS, Azure, or GCP; containerization (Docker, Kubernetes); CI/CD tools.
  7. Version Control: Proficient in Git and collaborative development workflows.
  8. Problem Solving: Strong debugging and optimization skills.

 

Preferred Qualifications

  1. Experience with LangChain, LlamaIndex, or similar orchestration frameworks.
  2. Understanding of RAG architecture and embeddings.
  3. Exposure to NLP, ML pipelines, or model fine-tuning.
  4. Familiarity with enterprise SDLC processes.
  5. UI/UX sensitivity for building intuitive AI-powered interfaces

Key Skills
Education

Any Graduate

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