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Build and maintain a full-stack insurance risk exchange platform using TypeScript, Svelte, AWS, and Postgres, with AI-assisted development workflows.
Build and ship an AI-powered trust layer for software testing: autonomous agents that simulate users, catch failures, and self-heal in production using Python, TypeScript, and cloud infra.
Builds and shapes the core AI-driven testing stack for modern software, coding in Python/TypeScript and deploying daily to ship autonomous agents that validate trust in AI-generated code.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time APIs, and MLOps tooling in Python and cloud platforms.
Build and deploy AI/ML pipelines, fine-tune LLMs, and integrate generative AI into banking systems using Python, cloud platforms, and MLOps tools.
Build and deploy RAG pipelines and large-scale AI systems for industrial use cases like predictive maintenance and smart factories using Python, PyTorch, and vector databases.
Architect and deliver production-grade AI systems, including agentic workflows and RAG pipelines, using Python, LangChain, and AWS Bedrock. Work with clients to embed AI into enterprise processes and scale intelligent solutions.
Build and scale AI/ML pipelines and GenAI systems for GE HealthCare, automating model deployment, monitoring, and lifecycle management across hybrid/multi-cloud (AWS, Azure).
Build and scale production LLM-powered healthcare applications, including RAG pipelines, agentic systems, and evaluation frameworks, while ensuring compliance and reliability in a regulated environment.
Senior full-stack developer building a B2B platform for global financial markets using Java, Python, Spring, and real-time data processing with AI/NLP features.
Build and maintain AI infrastructure and MLOps pipelines using GitLab, Docker, Kubernetes, and Terraform to deploy and scale AI models in cloud or hybrid environments.
Builds backend infrastructure and APIs to connect Lyft with AI ecosystems and multimodal interfaces, enabling third-party agents to interact with Lyft services.
Lead AI/ML model development for enterprise-scale financial data reconciliation, deploying Agentic AI and LLMs to optimize banking operations and risk processes.
Build and deploy agentic AI systems for clients, designing multi-agent workflows, RAG pipelines, and tool-using LLMs with AWS Bedrock and LangChain, while owning end-to-end delivery from architecture 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.
Lead the architecture and development of large-scale RAG and NLP systems for vertical AI platforms, using PyTorch, vector databases, and probabilistic modeling to deliver predictive intelligence for high-stakes industries.
Build and maintain Python-based backend services for an AI tool that streamlines pharmaceutical regulatory reviews using FastAPI, PostgreSQL, Celery, and Azure.
Principal Data Engineer builds and scales AI-native data infrastructure for LLM-powered security products, including RAG and agentic systems at Exabyte scale.
Build AI-powered automations and integrations to streamline marketing workflows and sales enablement at a cybersecurity company.
Forward-deployed ML engineer partners with clients to deploy Mistral’s AI models, fine-tuning and integrating them into production systems while bridging technical and business stakeholders.
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