Explore & research: track the agentic AI landscape, evaluate recent models, tools, and ideas, and run quick experiments to prove what is worth pursuing.

•Develop AI agents: design and ship agents that reason, plan, use tools/APIs, and handle memory and retrieval (RAG).

•Orchestrate multi-agent systems: build systems where specialized agents collaborate, delegate, and hand off tasks to solve complex problems.

•Build with agent frameworks: implement agents using frameworks such as Strands, LangGraph, CrewAI, or AutoGen, applying the right patterns for each use case.

•Implement MCP & integrations: connect agents to tools, data, and services through the Model Context Protocol (MCP) and other AI integration technologies and APIs.

•Deploy on the cloud: package, deploy, and run agents on cloud platforms (AWS, GCP, or Azure) with scalability, security, and cost in mind.

•Add observability: instrument agents with logging, tracing, and monitoring so behavior can be measured, debugged, and improved in production.

•Productionize & evaluate : Define quality, success, latency, and cost metrics, build eval harnesses, and optimize for reliability and scale.

•Ensure safety: apply guardrails, tool permissions, and human-in-the-loop checks for responsible agent behavior.

•Collaborate & enable: partner with product and domain teams, document decisions, and raise the team's overall agentic-AI fluency.

12000 INR-13000 INR

PuneSEZ/HYDSEZ/Bhubaneswar STP/Bangalore. Need to work from ODC for 10 days in a Month as per Current Hybrid Model

GenAI,AI/ML

577660

- Strong experience in Python and enterprise application development.
- Hands-on expertise with LangChain, LangGraph, and other GenAI frameworks.
- Deep experience designing and deploying solutions on Azure AI Foundry.
- Proficiency in implementing RAG and knowledge discovery using Azure AI Search.
- Lead the design, architecture,



and delivery of enterprise GenAI solutions.
- Architect and implement Agentic AI systems, multi-agent workflows, and Human-in-the-Loop capabilities.
- Define scalable, secure, and governed AI solution patterns and best practices.
- Provide technical leadership, mentor development teams, and drive AI innovation and adoption.
- Collaborate with business and technology stakeholders to translate requirements into AI-powered solutions.
- 1 Senior Lead in GDC Agam's area needs to have FDE skills and proficiency for selection at enterprise level (0preferably seasoned & experienced FDE). Other leads will be at project level Gen AI Leads.

10000 INR-10500 INR

PuneSEZ/HYDSEZ/Bhubaneswar STP/Bangalore. Need to work from ODC for 10 days in a Month as per Current Hybrid Model

Agentic AI, Gen AI

- Engage with customers: Work closely with business and technical stakeholders to understand requirements, identify opportunities, and translate business problems into AI-driven solutions.
- Develop AI agents: Design and implement AI agents that reason, plan, use tools/APIs, and leverage memory and Retrieval-Augmented Generation (RAG).
- Build multi-agent systems: Develop orchestrated agentic workflows where specialized agents collaborate to solve complex business problems.

Build with agent frameworks: Implement solutions using frameworks such as Strands, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar technologies.

- Implement MCP & integrations: Connect AI agents with enterprise applications, databases, APIs,



and external services using MCP and other integration technologies.
- Deploy on the cloud: Package, deploy, and operate AI solutions on AWS, Azure, or GCP with a focus on scalability, security, reliability, and cost optimization.
- Drive rapid prototyping: Build proofs of concept (POCs) and pilot solutions to validate business value and accelerate customer adoption.
- Add observability: Implement logging, tracing, monitoring, and evaluation mechanisms to measure AI application performance and reliability.
- Productionize & evaluate: Define success metrics, establish evaluation frameworks, optimize latency and cost, and ensure enterprise-grade quality.
- Ensure safety & governance: Apply guardrails, access controls, compliance requirements, and human-in-the-loop workflows for responsible AI deployment.
- Collaborate & enable: Partner with product, engineering, and customer teams to drive successful implementation, adoption, and knowledge transfer.
- Provide technical leadership: Guide customers on architecture, AI best practices, deployment strategies, and scaling approaches.

10000 INR-10500 INR

PuneSEZ/HYDSEZ/Bhubaneswar STP/Bangalore. Need to work from ODC for 10 days in a Month as per Current Hybrid Model

Uipath Agentic AI

577324

- Lead the architecture and delivery of enterprise UiPath Agentic Automation solutions.
- Hands-on expertise in UiPath Maestro and BPMN-based workflow orchestration.
- Develop UiPath Coded Apps and intuitive user-facing interfaces.
- Strong proficiency in Python, API integrations, and AI solution development.
- Design and orchestrate AI agents using LangChain and LangGraph.
- Build and integrate agents using AWS Bedrock and foundation models.
- Define scalable solution patterns integrating AI agents, UiPath robots, APIs, and human-in-the-loop workflows

📌 GenAI,AI/ML (Bengaluru)
🏢 Infowaysolutions
📍 Bengaluru