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Design and deploy multi-agent AI systems for logistics workflows, integrating LLMs with enterprise tools using frameworks like CrewAI and LangGraph.
Builds full-stack AI applications using GenAI models, cloud services, and modern web tech to create conversational interfaces, admin portals, and AI orchestration pipelines.
Build AI-powered integrations and agent-driven workflows using TypeScript and LLMs to automate data collection and orchestration across systems.
Architect and build production-grade AI agent systems that reliably process enterprise data, integrating LLMs, RAG, and multi-agent workflows while ensuring consistency and auditability in regulated environments.
Build and deploy enterprise-grade autonomous AI agents using LLMs, orchestration frameworks, and vector databases in Azure to power resilient workflows and RAG systems.
Design and build generative AI workflows using Python, LangChain, and FastAPI, focusing on LLMs and RAG systems for healthcare-adjacent applications.
Builds and deploys AI-powered applications using LLMs, RAG, and agentic AI; integrates with cloud services and vector databases.
Design and govern end-to-end enterprise GenAI architectures on Databricks, integrating LLMs, vector search, and agentic workflows with Python and Azure.
Leads quality engineering for an enterprise AI platform, building test frameworks for Agentic AI workflows and LLM-based systems using Python, Java, and modern CI/CD stacks.
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.
Designs and builds scalable cloud data pipelines, warehouses, and analytics platforms using Python, SQL, Spark, and cloud tools like BigQuery and Snowflake, with optional Gen AI integration.
Build and deploy AI models (LLMs, ML) for healthcare insights, recruiter automation, and personalized experiences using Python, PyTorch, LangChain, and vector databases.
Build and deploy AI agents using Databricks Mosaic AI, LangChain/LangGraph, and RAG pipelines; integrate base models and implement MLOps best practices.
Build and deploy AI solutions using LLMs, ML models, and data pipelines to generate healthcare insights, automate recruiting, and personalize user experiences.
Build and deploy AI/ML pipelines using LLMs, RAG, and vector databases with Python, LangChain, and FastAPI on GCP.
Build and deploy AI models (LLMs, ML) and data pipelines for healthcare insights, recruiter automation, and personalized digital experiences using Python, PyTorch/TensorFlow, and LangChain.
Builds backend services and APIs in Python/TypeScript that orchestrate LLMs, vector databases, and agentic workflows for an AI-driven infrastructure automation platform.
Build and maintain Python-based backend APIs and services for an AI platform that automates financial middle/back-office workflows, integrating with TypeScript frontends and LLM orchestration tools.
Builds and optimizes Java/Spring Boot microservices and APIs for a healthcare customer engagement platform, using SQL/NoSQL databases and cloud tools.
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