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Builds and ships AI-first web and mobile apps for mental-health and legal-tech products using React/Next.js, Python FastAPI, and modern AI tools like LLMs and RAG.
Builds AI-first web and mobile apps for mental-health support and legaltech, using React/Next.js, Python FastAPI, and AI tools like OpenAI/Anthropic to ship features from idea to production.
Build and ship the AI backbone for a property-management assistant: RAG pipelines, multi-step agent workflows, and LLM integrations that power daily operations for 20,000+ HOA and condo communities.
Build and deploy GenAI solutions like LLM-powered apps and RAG pipelines using Azure OpenAI and LangGraph for enterprise clients.
Design and productionize enterprise AI solutions using Snowflake Cortex AI, Python, SQL, and RAG architectures to automate decisions and build intelligent agents for Hydro One’s data platform.
Build the frontend of Pebl’s AI assistant, Alfie, shaping streaming responses, recovery flows, and trustworthy UX for global employment workflows using React/TypeScript and agentic LLM patterns.
Principal Data Engineer builds and scales AI-native data infrastructure for LLM-powered security products, including RAG and agentic systems at Exabyte scale.
Build backend microservices in Java/Kotlin for an AI-powered merchant assistant handling high-traffic, real-time support using Spring Boot, Kafka, and LLM techniques.
Build and ship AI-powered features (LLM agents, RAG, predictive ops) for a cloud-based network management platform using Go/TypeScript, collaborating with data engineers and product teams.
Build LLM-powered agents to automate code generation, testing, reviews, and deployment, integrating AI into Lattice’s software toolchain.
Build and productionize LLM-powered AI agents and orchestration systems using NLP, retrieval-augmented generation, and agent workflows to enhance customer-experience analytics.
Principal Data Engineer designs and builds scalable cloud data pipelines using Snowflake, Databricks, and AWS, while integrating AI agents for automated data quality and transformation workflows.
You’ll analyze financial and operational data using SQL, Python/R, and AI tools to build dashboards and reports that guide decisions in risk assessment and business strategy.
Builds and tunes AI pipelines that ingest documents from systems like SharePoint, preps data for LLMs, and customizes model behavior for specific tasks.
Design and run rigorous tests for Veeva’s AI agents, curating adversarial prompts and automating evaluation pipelines to catch hallucinations, biases, and edge cases in LLM outputs.
Build and deploy multi-step AI agents using Python, LangChain/LangGraph/ADK, and GCP’s Vertex AI suite for text/code generation and tool use.
Build and deploy Python-based AI solutions, integrating LLMs and RAG architectures with vector databases for enterprise clients in a hybrid Warsaw role.
Build and deploy Python-based AI solutions, integrating LLMs and RAG architectures with vector databases for production use in a global consulting firm undergoing AI transformation.
Senior Python developer building AI/GenAI solutions, integrating LLMs and RAG pipelines, and moving POCs to production in a financial IT environment.
Build and maintain secure, scalable Java-based payment systems and customer-facing admin tools using Spring Boot, React, and cloud platforms like AWS/Azure.
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