Agentic AI Engineer

Location: Mohali, India — In-Office

Experience: 1+ year in Software Engineering, with hands-on experience in Generative AI / LLMs and Agentic AI

Employment Type: Full-Time

Joining: Immediate joiners preferred

About the Role

We are looking for an Agentic AI Engineer to design, develop, and deploy intelligent AI agents and LLM-powered applications that can reason, use tools, retrieve information, execute multi-step workflows, and autonomously complete tasks.

You will work on building production-ready AI systems using modern LLM, RAG, Agentic AI, orchestration, and backend technologies.

Responsibilities

- Design and develop AI agents and multi-agent workflows for real-world business use cases.
- Build LLM-powered applications using models such as OpenAI, Anthropic, Gemini, Llama, or other leading models.
- Develop tool-using agents capable of interacting with APIs, databases, web services, files, and external systems.
- Build RAG (Retrieval-Augmented Generation) pipelines for enterprise knowledge bases.
- Implement agent memory, context management, planning, reasoning, and task execution workflows.
- Work with frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent technologies.
- Design and implement MCP-based tool integrations and reusable agent tools.
- Develop backend services and APIs using Python, FastAPI, or similar technologies.
- Work with vector databases and retrieval technologies such as FAISS, Chroma, Pinecone, Weaviate, or PostgreSQL/pgvector.
- Implement prompt engineering, structured outputs, function/tool calling, and model evaluation.
- Integrate AI systems with third-party APIs, SaaS platforms, databases, and internal applications.
- Build scalable and reliable AI workflows with appropriate guardrails, permissions, error handling, retries, and observability.
- Optimize AI applications for latency, reliability,



token usage, and cost.
- Containerize and deploy AI applications using Docker and cloud platforms such as AWS.
- Work with engineering teams to convert business requirements into practical AI solutions.
- Research and evaluate emerging developments in Agentic AI, LLMs, RAG, AI coding agents, and AI orchestration.

Required SkillsGenerative AI & LLMs
- Strong understanding of LLMs and Generative AI
- Prompt engineering
- Function/tool calling
- Structured outputs
- Context management
- LLM evaluation
- Experience with OpenAI / Anthropic / Gemini or equivalent APIs

Agentic AI
- Hands-on experience building AI agents
- Agent planning and task decomposition
- Tool use and API execution
- Agent memory and state management
- Multi-step workflows
- Multi-agent architectures
- Human-in-the-loop workflows
- Agent guardrails and permissions

RAG & Knowledge Systems
- RAG architecture
- Document ingestion and chunking
- Embeddings and semantic search
- Vector databases
- Hybrid search / reranking
- Knowledge-base design
- Experience with FAISS, pgvector, Pinecone, Chroma, Weaviate, or equivalent

Development
- Strong Python programming skills
- FastAPI or equivalent backend framework
- REST APIs
- SQL and database fundamentals
- Git/GitHub
- Docker
- Basic Linux knowledge

Cloud & Deployment
- AWS or equivalent cloud platform
- Experience deploying AI/LLM applications
- CI/CD fundamentals
- Understanding of scalability, security, logging, and monitoring

Good to Have




- Experience with LangGraph
- Experience with MCP (Model Context Protocol)
- Experience with LangChain / LlamaIndex
- Experience with multi-agent frameworks
- Experience with AI coding agents
- Experience with OpenAI Agents SDK or equivalent agent frameworks
- Experience with fine-tuning / LoRA / PEFT
- Experience with Hugging Face
- Experience with PostgreSQL and pgvector
- Experience building AI SaaS products
- Experience integrating AI with enterprise systems
- Knowledge of AI observability and evaluation platforms

What We Are Looking For We value engineers who can go beyond simply calling an LLM API.

The ideal candidate should be able to understand a business problem, design an appropriate agent architecture, select the right models and tools, implement the workflow, integrate external systems, and deploy a reliable production solution.

You should be comfortable experimenting with new AI technologies while maintaining strong software engineering practices.

Interview Areas

Candidates may be evaluated on:

- Python and backend development
- Generative AI fundamentals
- LLM APIs and tool calling
- RAG architecture
- Agentic AI architecture
- LangGraph / agent orchestration
- MCP and tool integration
- Vector databases and retrieval
- System design
- AI application deployment
- Debugging and production problem solving

Why Join Us?
- Work on real-world Generative AI and Agentic AI applications.
- Opportunity to design AI systems from the ground up.
- Exposure to modern LLMs, agent frameworks, RAG, MCP, and cloud technologies.
- Work in a fast-moving setting where experimentation and engineering are equally valued.
- Opportunity to grow into an AI Architect / Senior Agentic AI Engineer role.

Pay: ₹100,000.00 - ₹200,000.00 per year

Work Location: In person

📌 Agentic AI Developer (Sahibzada Ajit Singh Nagar)
🏢 Webvori
📍 Sahibzada Ajit Singh Nagar