Artificial Intelligence Engineer

COGNITBOTZ • Aurangabad, IN

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 • Aurangabad, IN