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Secure AI systems by identifying and mitigating risks like prompt injection, jailbreaks, and data leakage in LLMs, RAG pipelines, and AI agents while enforcing responsible AI governance.
Build autonomous AI agents and data pipelines using LangChain/LangGraph or Google Vertex AI Agent Builder to automate analytics and decision-making at scale.
Build full-stack AI applications using .NET, C#, React/Next.js, and Node.js, integrating LLMs with RAG, vector search, and tool-calling for scalable business automations.
Lead the backend and data engineering behind a next-gen RAG system, building scalable Apache Beam pipelines, Google Cloud Spanner graph queries, and FastAPI/Temporal services to power deterministic LLM agents.
Principal Engineer to design and lead Bullish’s AI & Data Platform, building semantic layers, knowledge graphs, and conversational analytics for institutional crypto and fintech use cases.
Build AI agents, RAG/vector search, and platform integrations to automate workflows and enhance ETP Hub with AI-enabled tools for document search, summarization, and task assistance.
Lead enterprise AI/ML and generative AI initiatives, designing and deploying LLM-based solutions, setting strategic roadmaps, and mentoring teams to drive scalable, secure AI adoption in a large financial services firm.
Design and deploy enterprise AI solutions, agents, and RAG workflows using Python, SQL, and cloud platforms like Vertex AI and Databricks to automate and enhance CN’s logistics operations.
Build and scale multi-agent LLM systems and pipelines to power conversational user experiences across devices, using AWS Bedrock, vector search, and Kubernetes.
Design and build GenAI and agentic AI solutions—like conversational AI and RAG systems—on Databricks and AWS to improve wealth-management workflows and decision-making.
Leads architecture and delivery of enterprise-scale GenAI and agentic AI systems on GCP for travel retailing, including RAG, agent workflows, and LLMOps pipelines.
Build and deploy production AI agents and workflows that automate high-volume tasks, integrating LLMs and multimodal models with human oversight and robust evaluation.
Senior .NET developer builds scalable C#/.NET backends and integrates AI features like LLMs, embeddings, and RAG into web services and APIs.
Builds production-grade AI applications (chatbots, RAG, agents) by refactoring prototypes into scalable, secure, and observable solutions using Azure AI services, full-stack tech (React/TypeScript, Python, .NET), and responsible AI patterns. Bridges business needs with engineering teams to accelerate AI adoption while ensuring governance, compliance, and maintainability.
INTRODUCTION TO EVERNORTH: Evernorth Health Services India, established in Hyderabad in 2024, is an innovation hub for Evernorth Health Services, the pharmacy, care and benefits division of The Cigna Group. The…
Designs and governs data architecture for global engineering platforms, digital twins, and AI-enabled solutions to improve engineering productivity and analytics at a climate-tech company.
Junior AI developer integrates Python scripts, APIs, and LLM workflows to automate cybersecurity and mission tasks for Navy clients in a classified environment.
Senior developer building AI-enabled automation and analytics to reduce cyber risk for Navy missions, integrating APIs, data stores, and cloud/on-prem systems in secure, classified environments.
Build and maintain Python-based backend systems for cybersecurity data capture, compliance workflows, and AI-powered threat classification in a high-reliability environment.
Build and lead backend systems in Python for a cybersecurity platform that captures communications data, processes events, and integrates AI classification and agentic workflows across enterprise tools like Microsoft and Slack.
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