Agentic AI Engineer

About the Role

We are looking for a highly motivated Agentic AI Engineer to design, build, and deploy intelligent AI agents and multi-agent systems that can autonomously reason, plan, execute tasks, and interact with enterprise applications. The ideal candidate will have hands-on experience in Generative AI, LLMs, Agent Frameworks, RAG architectures, and cloud-based AI services.

This role involves developing next-generation AI solutions that leverage autonomous agents, orchestration frameworks, tool calling, memory systems, and enterprise integrations to automate complex business workflows.

Key Responsibilities

• Design and develop Agentic AI solutions using Large Language Models (LLMs) and autonomous agent frameworks.
• Build intelligent AI agents capable of reasoning, planning, reflection, memory management, and task execution.
• Develop and deploy multi-agent systems for complex business processes and decision-making workflows.
• Implement Retrieval Augmented Generation (RAG) architectures with enterprise knowledge repositories.
• Integrate AI agents with APIs, databases, SaaS platforms, and enterprise applications.
• Develop agent orchestration workflows using modern AI frameworks and tools.
• Create scalable and production-ready AI applications on cloud platforms.
• Optimize prompts, workflows, and agent performance to improve reliability and accuracy.
• Implement guardrails, security controls, and Responsible AI practices.
• Monitor, evaluate, and improve agent performance using observability and evaluation frameworks.
• Work closely with Product, Data Science, Engineering, and Business stakeholders to deliver AI-powered solutions.
• Stay current with advancements in Agentic AI, LLMs, multimodal AI, and emerging AI technologies.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.
• 3-8 years of experience in Software Development, AI/ML, Data Science, or related domains.
• Strong programming expertise in Python.
• Experience building AI/ML applications and deploying solutions in production environments.
• Solid understanding of Generative AI concepts, LLMs, and AI agent architectures.

Technical Skills

Generative AI & LLMs

• OpenAI GPT
• Azure OpenAI
• Claude
• Gemini
• Llama Models
• Mistral Models

Agentic AI Frameworks

• LangGraph
• LangChain
• CrewAI
• AutoGen
• Semantic Kernel
• LlamaIndex
• OpenAI Agents SDK

AI Engineering

• Prompt Engineering
• Function Calling
• Tool Calling
• Agent Memory Management
• Planning & Reasoning Systems
• Reflection & Self-Correction Patterns
• Multi-Agent Collaboration Frameworks

RAG & Search

• RAG Implementation
• GraphRAG
• Hybrid Search
• Semantic Search
• Knowledge Graphs
• Enterprise Search Solutions

Vector Databases

• Azure AI Search
• Pinecone
• Weaviate
• ChromaDB
• FAISS
• Milvus

Cloud Platforms

• Microsoft Azure (Preferred)
• AWS
• Google Cloud Platform

MLOps & Engineering

• Docker
• Kubernetes
• GitHub Actions
• CI/CD Pipelines
• Model Monitoring
• AI Observability

Preferred Experience

• Experience developing AI Assistants, Copilots, or Enterprise Chatbots.
• Hands-on experience with Microsoft AI ecosystem:
• Azure AI Foundry
• Azure OpenAI
• Azure AI Search
• Azure Functions
• Microsoft Copilot Studio
• Experience working with MCP (Model Context Protocol).
• Experience implementing AI Security and Governance frameworks.
• Exposure to fine-tuning and deploying open-source LLMs.
• Knowledge of multimodal AI applications involving text, image, audio, and video.

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and stakeholder management skills.
• Ability to translate business requirements into AI-driven solutions.
• Strong collaboration and teamwork mindset.
• Ability to work in fast-paced and innovative environments.

Nice-to-Have Certifications

• Microsoft Certified: Azure AI Engineer Associate
• Azure OpenAI Certifications
• AWS Machine Learning Specialty
• Google Professional Machine Learning Engineer
• Databricks Generative AI Certifications

What Success Looks Like

• Successfully deploy scalable Agentic AI solutions into production.
• Automate complex business processes using intelligent agents.
• Improve operational efficiency through AI-powered decision support.
• Build secure, reliable, and enterprise-ready AI platforms.
• Drive innovation through adoption of modern Agentic AI technologies.