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

Key Skills:

Python
Generative AI
Large Language Models (LLMs)
AI Agents
Multi-Agent Systems
Retrieval-Augmented Generation (RAG)
LangChain
LangGraph
CrewAI
AutoGen
OpenAI Agents SDK
LlamaIndex
PydanticAI
Vector Databases
Pinecone
Qdrant
Weaviate
ChromaDB
FAISS
Milvus
FastAPI
Flask
Git
Docker
CI/CD
AWS
Azure
GCP

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

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