Artificial Intelligence Engineer

5 hours ago

Mangalore, India COGNITBOTZ Full time

Job Title: AI Engineer (Agentic AI & LLM Engineering)Experience Required: 3–4 YearsLocation: Work from Office, Ahmedbad(5 and half days working - Saturday half a day)Employment Type: Full-TimeRole OverviewWe 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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