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.
