Roles

We’re looking for an AI Full stack Developer with hands-on experience in building and deploying applications powered by Large Language Models (LLMs). You’ll design intelligent systems that can understand, generate, and reason with human-like text enabling next-gen automation, chatbots, and knowledge tools.
You’ll work closely with our product and engineering teams to prototype, fine-tune, and productionize AI solutions that deliver real business impact.

Responsibility

Design, develop, and deploy AI systems using LLMs (e.g., GPT, Claude, Gemini, Llama).
Build APIs, pipelines, and workflows integrating model inference with real-world data.
Fine-tune and optimize LLMs for specific domains, tasks, or conversational agents.
Develop prompt engineering strategies for better reasoning and response control.
Work with vector databases (Pinecone, Weaviate, Chroma, etc.) for retrieval-augmented generation (RAG).
Implement AI tools for summarization, classification, and knowledge extraction.
Collaborate with frontend/backend teams to integrate LLM capabilities into web or chat applications.
Monitor model performance, accuracy, and user feedback for continuous improvement.

Requirements

Strong programming skills in Python (FastAPI, Flask, or similar frameworks).
Experience with LLM APIs (OpenAI, Anthropic, Google Gemini, Hugging Face, etc.).
Familiarity with prompt engineering, RAG pipelines, and embedding models.
Experience with LangChain, LlamaIndex, or other orchestration frameworks.
Knowledge of vector databases (Pinecone, Chroma, Weaviate, FAISS).
Understanding of transformer architectures and tokenization pipelines.
Experience with cloud deployments (AWS, GCP, or Vercel).
Strong debugging, documentation, and collaboration skills.