Akash

AI/ML Engineer

TruScholar • Temps plein

Nov 2025 - Present • 1 yr

Design and develop production-ready AI/ML and GenAI applications using Python, FastAPI, LLMs, RAG, and multi-agent architectures. Build AI agents and autonomous workflows using LangGraph, Claude Agent SDK, MCP, and function/tool calling. Develop scalable REST APIs and backend systems with FastAPI, MongoDB, PostgreSQL, Redis, Docker, and asynchronous processing. Build RAG pipelines involving document processing, embeddings, vector search, retrieval, reranking, and LLM-based generation. Develop AI-powered recommendation systems, document intelligence pipelines, chatbots, and developer automation tools. Integrate leading LLMs including OpenAI, Claude, Gemini, Mistral, and Llama based on project requirements. Implement authentication, authorization, API security, logging, error handling, caching, rate limiting, and background processing. Deploy and maintain AI applications using Docker, AWS/GCP, CI/CD, and cloud infrastructure. Optimize AI applications for latency, scalability, reliability, and LLM/API costs. Work across the complete product lifecycle—from requirements and architecture to development, testing, deployment, and optimization.