FACLON LABS PRIVATE LIMITED


Type: Full-Time
Experience: 1- 3 Years
Location: Mumbai (On-site)

Job Summary
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.
You will be responsible for designing, developing, and deploying intelligent AI solutions that
leverage cutting-edge LLMs, agentic workflows, and enterprise AI architectures to solve
real-world business challenges.

What You’ll Do-

  • 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.

What We’re Looking For-

  • Strong proficiency in Python with experience building scalable, production-grade applications.
  • Hands-on experience in Generative AI, LLMs, and AI-powered application development.
  • Experience working with foundation models such as GPT, Claude, Gemini, Llama, Mistral, DeepSeek, Qwen, or similar.
  • Strong understanding of Prompt Engineering, Function Calling, Tool Calling, Structured Outputs, Context Management, and LLM Evaluation.
  • Experience designing and building AI Agents, Agentic Workflows, and Multi-Agent Systems.
  • Hands-on experience with frameworks such as LangChain, LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, LlamaIndex, PydanticAI, or similar.
  • Experience designing and implementing RAG pipelines and enterprise knowledge retrieval systems.
  • Strong understanding of embeddings, semantic search, hybrid search, reranking, and vector retrieval techniques.
  • Experience with Vector Databases such as Pinecone, Qdrant, Weaviate, ChromaDB, FAISS, or Milvus.
  • Experience building and deploying REST APIs using FastAPI, Flask, or similar frameworks.
  • Familiarity with Git, Docker, CI/CD practices, and cloud platforms such as AWS, Azure, or GCP.
  • Strong problem-solving, analytical, and communication skills.
  • Self-driven mindset with ownership and accountability.

Bonus Points-

  • 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.

Qualifications-

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.
  • 1–3 years of relevant experience in AI/ML, Generative AI, LLM Engineering, or AI Application Development.
  • Strong understanding of software engineering best practices and system design principles.

What We’re Looking For in You-

  • 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.

Why Join Us?

  • Work on cutting-edge Generative AI, Agentic AI, and Multi-Agent Systems.
  • Build production-grade AI products with real-world business impact.
  • Opportunity to work with the latest LLMs, MCP, RAG, Agentic AI, and AI infrastructure technologies.
  • Collaborative, innovation-driven environment with excellent learning and growth opportunities.

About Us

We’re Faclon Labs — a high-growth, deep-tech start-up focused on making infrastructure and utilities smarter using IoT and SaaS solutions. We work on solving real-world industrial challenges through technology, innovation, and execution.
At Faclon Labs, we believe in ownership, speed, accountability, and bold thinking. If you’re passionate about building next-generation AI systems and shaping impactful AI products, you’ll feel right at home here.

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