Artificial Intelligence Engineer

3 days ago

Ajmer, India Whatjobs IN C2 Full time

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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