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Explore & research: track the agentic AI landscape, evaluate new 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.
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12000 INR-13000 INR
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PuneSEZ/HYDSEZ/Bhubaneswar STP/Bangalore. Need to work from ODC for 10 days in a Month as per Current Hybrid Model
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GenAI,AI/ML
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577660
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• 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.
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10000 INR-10500 INR
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PuneSEZ/HYDSEZ/Bhubaneswar STP/Bangalore. Need to work from ODC for 10 days in a Month as per Current Hybrid Model
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Agentic AI, Gen AI
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• 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.
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10000 INR-10500 INR
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PuneSEZ/HYDSEZ/Bhubaneswar STP/Bangalore. Need to work from ODC for 10 days in a Month as per Current Hybrid Model
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Uipath Agentic AI
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577324
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• 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
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