Agentic AI - Senior Engineer

Job Description

ESSENTIAL FUNCTIONS

- Develop complex Agentic AI solutions in an Agile environment as part of a global team of engineers, architects, designers, and product experts.
- Design, develop, and deploy AI agents, and intelligent workflows using Microsoft Copilot Studio, Claude APIs, and enterprise AI platforms.

QUALIFICATIONS

- Bachelors degree in computer science, Engineering, Artificial Intelligence, or related field.
- 5+ years of professional software engineering or enterprise technology experience.
- 2+ years of experience building AI-powered applications, intelligent automation, or conversational AI solutions.
- Experience with Agentic AI platforms including Microsoft Copilot Studio, Claude, or similar LLM-based platforms.
- Experience with enterprise integration technologies including Microsoft Graph API, REST APIs, Dataverse, SharePoint, Teams, and SaaS platforms.
- Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions and knowledge-grounded AI experiences.
- Experience with prompt engineering, agent orchestration, AI workflows, function calling, and enterprise AI governance.
- Experience with secure software development practices, Responsible AI principles, and cloud security standards.
- Experience leveraging AI-assisted development tools such as GitHub Copilot, Claude, or equivalent AI coding assistants.
- Experience with cloud technologies including AWS, Docker, EKS, Lambda, SNS/SQS, and cloud-native architectures.
- Experience with source control and development workflows including GitHub, BitBucket, Git.
- Experience with logging, monitoring, and observability tools such as AppDynamics, ArgoCD, CloudWatch, Splunk, and enterprise AI monitoring solutions.
- Experience evaluating AI solution quality, automation effectiveness, and operational performance.
- Familiarity with vector databases, semantic search,



knowledge management platforms, and enterprise AI architectures.
- Proven ability to convert ideas into Agentic solution and deliver results in a fast-paced Agile workplace.
- Proven track record of developing and supporting large-scale business-critical platforms and enterprise solutions.
- Excellent analytical and problem-solving skills with the ability to evaluate AI outputs, identify risks, and recommend improvements.
- Must be comfortable in a fast-paced, evolving technology landscape.
- Strong presentation, communication, and collaboration skills with the ability to create and maintain technical documentation and architectural artifacts.

Preferred Qualifications

- Experience with Microsoft Copilot Studio, Claude, or AWS Bedrock.
- Experience implementing multi-agent orchestration and agentic workflow patterns.
- Experience with Python, ReactJS, LangChain, Semantic Kernel, MCP (Model Context Protocol), or AI orchestration frameworks.

Mandatory Competencies

- Data AI - GEN AI - Python
- Data AI - GEN AI - Advanced GenAI Agentic Framework Concepts
- Data AI - GEN AI - Cloud Application Integration Deployment
- Data AI - GEN AI - NumPy
- Data AI - GEN AI - Pandas
- Data AI - GEN AI - Amazon Bedrock
- Data AI - GEN AI - Retrieval Augmented Generation (RAG) / Graph RAG / Agentic AI Systems
- Data AI - GEN AI - Fine tuning Model Customization / AI Agents Tool Calling
- Data AI - GEN AI - Workflow Agentic Frameworks (LangChain / LangGraph)
- Data AI - GEN AI - Prompt Engineering / Vector Databases
- Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate
- Cloud - AWS - AWS SNS, AWS SQS, AWS Kinesis
- DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Docker
- DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Jenkins
- DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Git
- DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Splunk, DataDog, NewRelic,
- Beh - Communication and collaboration

📌 Agentic AI - Senior Engineer (Uttar Pradesh)
🏢 IRIS SOFTWARE
📍 Uttar Pradesh