Artificial Intelligence 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

• Strong experience in building AI Agents and multi-agent orchestration.

• Hands-on expertise with Open Source LLMs (e.g., LLaMA, Mistral, Phi, Qwen, etc.).

• Proficiency with RAG pipelines, embeddings, vector DBs (e.g., Pinecone, ChromaDB, Weaviate, FAISS).

• Working knowledge of LangChain, LangGraph, AutoGen, and other agent frameworks.

• Experience with Azure AI Foundry / Azure OpenAI and Google AI (Gemini/Vertex) platforms.

• Strong Python development background with modular code structure.

• Familiarity with Docker, Kubernetes, CI/CD, and model deployment workflows.

• Experience deploying AI solutions on both on-prem and cloud infrastructure.

Good to Have

• Experience with GPU provisioning & inference optimization.

• Knowledge of enterprise integration platforms (ServiceNow, SAP, Salesforce, etc.).

• Understanding of reinforcement learning, evaluation frameworks, and model guardrails.

Soft Skills

• Strong problem-solving and analytical thinking.

• Excellent communication and technical documentation skills.

• Ability to work in a fast-paced and collaborative environment.

Education

• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, Engineering, or equivalent practical experience.