LLM and AI Workflow Engineer

Job Title : AI Engineer (Agentic AI & LLM Engineering)

Experience Required : 3–4 Years

Location : Work from Office, Ahmedbad(5 and half days working - Saturday half a day)

Employment Type : Full-Time

Role Overview

We are seeking a highly skilled AI Engineer with strong hands-on experience in building and orchestrating AI Agents and Agentic Workflows. The ideal candidate should have demonstrable expertise in working with open-source and enterprise LLMs, implementing AI governance frameworks, and deploying AI solutions across both on-premise and cloud environments. The candidate will play a key role in designing, developing, optimizing, and scaling AI agent systems across various enterprise use cases.

Key Responsibilities

• Design, develop, and orchestrate Agentic AI systems involving multi-agent collaboration, tool usage, grounded reasoning, and workflow automation.
• Integrate and fine-tune LLMs (Open Source + Proprietary) for domain-specific tasks.
• Develop solutions using multiple Agentic AI frameworks such as :
• LangChain, LangGraph
• AutoGen
• Azure AI Studio / Azure AI Foundry
• Google AI Developer Kit (ADK) or Vertex AI Agents
• Implement AI governance, safety controls, auditability, prompt security, and responsible AI guidelines in deployed systems.
• Work with MLOps and deployment pipelines to deploy AI agents on :
• Cloud platforms : Azure / GCP / AWS
• On-prem environments & air-gapped networks
• Develop secure integrations with APIs, vector stores, enterprise knowledge bases, and workflow systems.
• Optimize inference, latency, and performance using quantization, caching, and model selection strategies.
• Collaborate cross-functionally with solution architects, product teams, and data engineering to deliver end-to-end AI solutions.

Required Technical Skills

Good to Have

Soft Skills

Education