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, reputed company 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, reputed company, 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 reputed company 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
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