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Builds and deploys AI-powered applications using LLMs, RAG, and agentic AI; integrates with cloud services and vector databases.
Build next-gen AI-powered security tools by designing multi-agent systems in Python, integrating with security tools via MCP, and developing RAG pipelines for autonomous pentesting and remediation.
Build and maintain Snowflake data models to power AI-driven marketing systems, enabling agentic workflows and LLM tool-calling for predictive and generative use cases.
Build production-ready enterprise AI apps using LLMs, RAG, and AI agents with Python, FastAPI, and cloud platforms to automate workflows and unlock business knowledge.
Builds and optimizes Java/Spring Boot microservices and APIs for a healthcare customer engagement platform, using SQL/NoSQL databases and cloud tools.
Builds and maintains Python-based backend services and APIs, integrates AI frameworks (LangGraph, LangChain, AutoGen) into enterprise systems, and ensures scalable, secure data handling.
Builds cloud-native apps on AWS, designs AI agents using LLMs, and automates workflows with Python/.NET and agentic frameworks like LangChain.
Build and scale the backend for an AI-driven consulting platform using AWS/Azure, Python/Java/Spring Boot, and modern cloud-native tools while defining responsible AI-assisted development practices.
Build and ship production-grade AI agents for meditation and mental-health experiences, blending robust engineering with clinical judgment to create safe, evidence-informed wellbeing tools for 30M+ users.
Build and deploy enterprise-grade AI systems using LLMs, Agentic AI, and RAG; integrate with cloud platforms and enterprise workflows while ensuring security, governance, and compliance.
Build and lead AI agent systems that automate business workflows using Python, TypeScript, and LLM tooling like Relevance AI and Anthropic Claude.
Design and deploy AI agents and copilots to automate Roku TV workflows, integrating LLM orchestration, RAG, and multi-agent systems with Python and cloud tools.
Design and lead enterprise AI solutions for Australian clients, building secure LLM/RAG architectures and rapid PoCs while mentoring AI engineers.
Lead Happiest Minds’ GenAI & Agentic AI practice, building Azure AI or AWS AI solutions, driving growth, pre-sales, and enterprise delivery with frameworks like LangGraph and CrewAI.
Role & responsibilities Designs and builds automated business workflows Integrates applications using APIs Automates repetitive processes Uses workflow tools like n8n, Make, Zapier, Power Automate Focuses on…
Lead the architecture and deployment of AI agentic systems using LangGraph, Crew AI, and Autogen, building scalable DevOps frameworks and CI/CD pipelines across AWS, Azure, and GCP.
Build and deploy AI agents for logistics workflows using LLMs, RAG, and agent frameworks; design prompts, tools, and evaluation pipelines to move solutions from pilot to production.
Builds AI-powered workflows and agents using Python, LLM APIs, and tools like n8n or CrewAI to automate business processes and integrate systems.
Designs and builds AI-powered workflow automations and agents using Python, LLM APIs, and tools like n8n or CrewAI to integrate systems and streamline business processes.
Build and deploy AI agents using LLMs (OpenAI, Claude, Gemini) and frameworks like LangChain to automate workflows and enhance fintech operations.
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