We are seeking a highly motivated AI Engineer to join our growing AI team. The ideal candidate should have hands-on experience in Generative AI, Large Language Models (LLMs), AI Agents, Multi-Agent Systems, Retrieval-Augmented Generation (RAG), and modern AI application development.

Company: FACLON LABS PRIVATE LIMITED

Role: AI Engineer – Generative AI & Agentic AI

Location: Mumbai (On-site)

Experience:

1- 3 Years

Qualification:

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field

Role Focus: • Design, develop, and deploy AI-powered applications using Large Language Models (LLMs) • Build intelligent chatbots, AI assistants, copilots, and workflow automation solutions • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines using enterprise data sources and vector databases • Design and implement AI Agents and Multi-Agent Systems capable of reasoning, planning, and autonomous task execution • Build agentic workflows integrating external APIs, databases, enterprise applications, and third-party services • Implement tool-calling frameworks and Model Context Protocol (MCP) integrations • Develop scalable backend services and APIs for AI applications • Evaluate, benchmark, monitor, and continuously improve AI system performance • Collaborate with product, engineering, and business teams to deliver AI-driven solutions • Stay up to date with the latest advancements in Generative AI, Agentic AI, LLMs, and emerging AI technologies

Nice to have:

Experience implementing and integrating Model Context Protocol (MCP)
Exposure to Agentic RAG, GraphRAG, Knowledge Graphs, and advanced retrieval architectures
Experience deploying open-source LLMs using Ollama, vLLM, Hugging Face, TensorRT-LLM, or similar tools
Exposure to LLMOps and MLOps platforms such as MLflow, LangSmith, Phoenix, Weights & Biases, or Arize
Experience with AI evaluation frameworks, observability platforms, monitoring, and guardrails
Knowledge of Kubernetes, distributed systems, and scalable AI infrastructure
Experience building enterprise chatbots, AI copilots, workflow automation solutions, and autonomous AI systems
Familiarity with multimodal AI applications involving text, image, audio, and document understanding

More skills:

Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases, Qdrant, Weaviate, ChromaDB, FAISS, Milvus, FastAPI, Flask, Git, Docker, CI/CD, AWS, Azure, GCP

Other:

Collaborative, innovation-driven environment with excellent learning and growth opportunities
Opportunity to work with the latest LLMs, MCP, RAG, Agentic AI, and AI infrastructure technologies
Build production-grade AI products with real-world business impact
Passion for Generative AI, Agentic AI, and emerging AI technologies
Ability to rapidly learn and adopt new AI frameworks, tools, and methodologies
Experience taking AI solutions from proof-of-concept to production deployment
Strong collaboration and communication skills
Ownership-driven mindset with a focus on building impactful AI products

AI Engineer – Generative AI & Agentic AI

Skills Required

Description

Experience:

Qualification:

Nice to have:

More skills:

Other:

Prepare for this role

More LLM jobs