Top LLM Engineers - Remote

I build AI systems that solve real business problems. AI Engineer working on generative AI solutions with agentic frameworks, RAG systems, and LLM orchestration. What I work on: - Multi-agent AI systems using LangGraph and GPT-4o for workflow automation - Knowledge retrieval systems with LLaMA and vector databases - Hybrid architectures combining graph databases (Neo4j) with semantic search (FAISS) Tech: LangChain, LangGraph, OpenAI GPT, LLaMA, Qdrant, FAISS, Neo4j, Python, FastAPI. B.Tech from NIT Warangal. Open to new opportunities in AI engineering. [email protected]

I’m a Senior LLM engineer specializing in Generative AI, LLM systems, agentic architectures, and blockchain engineering. I work across the full stack of modern AI development—building agent workflows, multi-agent systems, RAG pipelines, and scalable inference setups using frameworks like LangChain, LangGraph, MCP, and PyTorch.I combine strong backend skills (Python, MERN, FastAPI) with hands-on work in blockchain, ERC standards, smart contracts, and Hyperledger, giving me the ability to build intelligent, secure, and production-ready systems.Recently, I’ve been focused on: Building multi-agent workflows for reasoning, planning, and tool-use automation Implementing LLMOps practices – evaluation, orchestration, tracing, monitoring Designing reliable RAG systems for enterprise AI Deploying scalable inference using vLLM, adapters, and optimized model servingI learn fast, adapt quickly, and enjoy solving complex engineering problems at the intersection of AI, distributed systems, and product engineering.

Artificial intelligence and data science student with basic skills in machine learning ,statistics and python aspiring to become a data scientist.

I'm a Backend Developer passionate about building scalable APIs, authentication systems, and clean backend architecture. I’ve built and deployed real-world projects including: - Blog API with JWT-based authentication and CRUD functionality - Phonebook App using Node.js, Express, and MongoDB - Appointment Management System for students & professors with role-based access, JWT auth, and secure scheduling logic These projects are focused on secure RESTful APIs, Mongoose schema design, and real-world use cases like booking systems and authentication. I love solving practical problems and writing backend systems that are efficient, secure, and maintainable. I’m always looking to grow my skills in Node.js, Express, MongoDB, and DevOps tooling. Tech Stack: Node.js, Express.js, MongoDB, JWT, Git, REST APIs Open to SDE/Backend Internships or Entry-Level Roles Let’s connect and collaborate!

AI/LLM Engineer with 8+ years of experience building scalable machine learning and LLM-powered applications across financial services, insurance, and retail domains.I specialize in designing intelligent systems using Large Language Models, Retrieval-Augmented Generation (RAG), and Agentic AI architectures. My work focuses on building context-aware, production-grade AI systems that can reason, retrieve knowledge, and execute multi-step tasks autonomously.Currently, I design and deploy end-to-end LLM and agent-based systems for credit risk analysis, fraud detection, and customer intelligence using tools like LangChain, FAISS, Pinecone, and cloud platforms such as GCP Vertex AI and AWS SageMaker.Core expertise: * LLM Applications: RAG pipelines, prompt engineering, semantic search * Agentic AI: Tool-based reasoning, multi-step workflows, API integrations * ML & NLP: Transformer models, PyTorch, Hugging Face * MLOps: Deployment, monitoring, CI/CD, retraining pipelines * Data Engineering: PySpark, Airflow, KafkaI enjoy solving complex problems at the intersection of AI, data, and real-world business impact—especially where intelligent systems can automate decision-making and unlock insights at scale.Open to opportunities in Generative AI, LLM systems, and advanced ML engineering.