AI ML developer

About

We are seeking an AI ML Developer with a strong foundation in Generative AI (GenAI) to develop and deploy AI-enabled applications and services. The role focuses on building scalable Python-based backends and integrating Large Language Models (LLMs) into real-world workflows. The ideal candidate combines strong Python development skills with hands-on experience using APIs or frameworks like OpenAI, Hugging Face, LangChain, or LlamaIndex to create intelligent and interactive applications.

Key Responsibilities

• Develop robust, modular, and testable Python applications and APIs using frameworks like FastAPI, Flask, or Django.
• Build backend services that consume or serve LLM responses, handle session context, and manage prompt workflows.
• Optimize performance, concurrency, and error handling for GenAI-powered applications.
• Integrate with LLM APIs (OpenAI, Azure OpenAI, Cohere, Gemini, Claude, Hugging Face, etc.) to build intelligent assistants, summarization tools, and AI copilots.
• Implement Retrieval-Augmented Generation (RAG) pipelines using frameworks such as LangChain, LlamaIndex, or Haystack.
• Engineer and manage effective prompts for tasks like Q&A, semantic search, content generation, or entity extraction.
• Work with embedding models (e.g., Sentence Transformers, OpenAI Embeddings, BERT) to convert unstructured text into vector representations.
• Integrate and query vector databases like FAISS, Pinecone, Weaviate, or ChromaDB to power semantic search or document retrieval.
• Package and deploy GenAI services using Docker, Kubernetes, or AWS Lambda for scalable access.
• Collaborate with DevOps and platform teams to integrate CI/CD pipelines, logging, and monitoring.

Required Skills & Qualifications

• Bachelor's or Master's in Computer Science, Engineering, or a related field.
• 2-5 years of hands-on Python development experience, with emphasis on backend/API design.
• Experience integrating GenAI or NLP models using OpenAI, Hugging Face Transformers, Cohere, etc.
• Proficiency with RESTful APIs, JSON handling, and web-based integration patterns.