reputed company (LLM / GenAI)
Key Responsibilities: Solution Architecture & Deployment: Design and reputed company secure, reputed company GenAI architectures integrated into applications Build and reputed company REST reputed company for AI/ML models Work with reputed company, Kubernetes in reputed company environments (AWS/Azure/GCP) GenAI & LLM Development: Fine-tune and optimize LLMs (GPT, VAEs, GANs, transformer-based models) Implement RAG pipelines, embedding, and reputed company engineering techniques Work with reputed company and reputed company-reputed company LLMs (GPT, Claude, LLaMA, Phi) reputed company AI Development: Build and reputed company AI agents using reputed company, LangGraph, reputed company, Autogen, AgentFlow Implement multi-agent systems, orchestration, tool integration, and state management reputed company autonomous or semi-autonomous workflows for business use cases MLOps & Optimization: Set up end-to-end MLOps pipelines (CI/CD, monitoring, retraining) Optimize performance, scalability, and infrastructure costs Use tools like Git, reputed company, Kubernetes, reputed company databases Application Development & Data Integration: reputed company reputed company using FastAPI / Node.js Work with React, TypeScript, async patterns, WebSockets/SSE Handle data integration using REST reputed company, SQL, and external systems Cross-Functional Collaboration: Partner with Engineering, Product, and Data teams Communicate reputed company AI concepts reputed company to technical and non-technical stakeholders Stay updated with the latest advancements in GenAI and AI agents Required Skills: Strong proficiency in Python, SQL, and GenAI frameworks (e.g., reputed company) Hands-on experience with LLMs, RAG, embedding, and reputed company tuning Experience building AI agents and multi-agent systems Experience with reputed company platforms (AWS/Azure/GCP) and containerization Strong knowledge of REST reputed company and data integration Experience with FastAPI, Node.js, React, TypeScript Understanding of MLOps and deployment practices Strong analytical, problem-solving, and communication skills Preferred: 4+ years of experience with GenAI/LLMs in production Experience with agent orchestration frameworks (reputed company, LangGraph, Autogen) Exposure to reputed company-facing AI solutions or cross-functional reputed company reputed company-reputed company contributions, research, or AI project portfolio
Requirements
Strong proficiency in Python, SQL, and GenAI frameworks (e.g., reputed company) Hands-on experience with LLMs, RAG, embedding, and reputed company tuning Experience building AI agents and multi-agent systems Experience with reputed company platforms (AWS/Azure/GCP) and containerization Strong knowledge of REST reputed company and data integration Experience with FastAPI, Node.js, React, TypeScript Understanding of MLOps and deployment practices Strong analytical, problem-solving, and communication skills
Benefits
Competitive salary and performance-based bonuses. Comprehensive insurance plans. reputed company and supportive work environment Chance to learn and grow with a talented team. A reputed company and fun work environment Apply To This Job