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Build and secure data pipelines for a banking client, using Scala, Spark, and cloud platforms to process large-scale data into reliable, business-ready datasets.
Build and optimize LLM-powered AI agents that surface competitive intelligence for revenue teams, focusing on retrieval pipelines, orchestration, and evaluation to improve speed and accuracy.
Build and optimize LLM-powered backend systems for scalable AI-driven search and agentic workflows, focusing on retrieval pipelines, orchestration, and evaluation.
Principal Software Developer – AI Data Architect designs and leads an AI-ready data platform for Caseware’s cloud products, setting standards for data modeling, governance, and AI integration while mentoring teams.
Builds and maintains enterprise-grade Python (FastAPI) backends and React.js frontends, deploys on AWS, and works with SQL/NoSQL databases and Kubernetes.
Designs and maintains data pipelines and vector databases to feed AI systems with clean, real-time data for RAG and agent memory.
Build and deploy Generative AI systems for financial applications, including RAG pipelines, vector databases, and AI agents, using Python, AWS Bedrock, and LangGraph.
Design and build secure, scalable AWS APIs and microservices that power AI agents and enterprise integrations, using Lambda, API Gateway, and modern data stores.
Surf AI is the agentic operations platform for enterprise security teams. We don't just surface risk, we close it. Our platform connects context across identity, cloud, HR, IT, and SaaS systems, and uses…
Builds and deploys LLM-powered features (agents, RAG, tools) with React/TypeScript frontends and Python or Go backends, integrating vector stores and agent frameworks.
Designs and operates cloud-native data infrastructure on AWS (EKS, RDS), automating pipelines and ensuring performance, availability, and scalability for production databases.
Build and optimize data pipelines on AWS for clients, focusing on automation, Spark, and CI/CD to enable scalable analytics and business insights.
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Build and deploy full-stack AI applications using Python backends, React/Angular frontends, and LLM integrations (RAG, agents) with PostgreSQL vector stores and Kubernetes CI/CD pipelines.
Build and evolve a B2B SaaS platform that finances energy-efficiency retrofits using AI-driven regulatory engines and LLM tools in Python, FastAPI, and vanilla JS.
Build and deploy generative-AI backends in Python, designing RAG pipelines, AI agents, and scalable cloud infrastructure on GCP while owning CI/CD, Docker/Kubernetes, and IaC.
Backend engineer building and optimizing databases, ETL pipelines, and FastAPI services to power a data-driven platform for a global communications agency.
Designs and builds secure, scalable backend services and REST/GraphQL APIs in Java/Spring Boot, and integrates agentic AI workflows using LLM frameworks for automation and decision support.
Design and build secure, scalable backend services and REST/GraphQL APIs in Java/Spring Boot, and integrate agentic AI workflows using LLM frameworks for automation and decision support.
Lead a team to design and build scalable data pipelines and AI-ready infrastructure for an AI startup, focusing on real-time processing, vector search, and ML data workflows.
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