
CognitBotz is a pioneering company in intelligent automation, established in 2019 in Hyderabad, India. They provide cutting-edge Intelligent Process Automation, Agentic AI, and custom AI solutions to enhance operational efficiency across various sectors including healthcare, finance, and logistics. With a global presence and a team of experts, CognitBotz focuses on delivering tailored automation solutions that drive growth and improve business performance, ensuring significant ROI for their clients.

CognitBotz is a pioneering company in intelligent automation, established in 2019 in Hyderabad, India. They provide cutting-edge Intelligent Process Automation, Agentic AI, and custom AI solutions to enhance operational efficiency across various sectors including healthcare, finance, and logistics. With a global presence and a team of experts, CognitBotz focuses on delivering tailored automation solutions that drive growth and improve business performance, ensuring significant ROI for their clients.
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.