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Artificial Intelligence Engineer

Artificial Intelligence Engineer

COGNITBOTZGreater Ahmedabad Area, India
11 hours ago
Job description

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.
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    Artificial Intelligence Engineer • Greater Ahmedabad Area, India

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