Design and implement execution patterns, tool-calling infrastructure, and runtime guardrails for agentic workflows.
Build core services and reusable runtimes to connect LLMs and agents to governed data on Databricks.
Integrate agent workflows into Delta Lake, Unity Catalog, and multi-cloud pipelines across GCP and Azure.
Kinaxis is a global leader in modern supply chain orchestration, providing an AI-infused platform for complex global supply chains. They have over 2000 employees worldwide and are recognized with multiple Top Employer awards for their strong culture and commitment to innovation.
Build and manage Foundry data pipelines, ontology components, and applications.
Design semantic and context layers with Palantir's ontology: Object, Link, and Action Types, Interfaces, Property Sets.
Build LLM-powered workflows with AIP Logic, AIP Automate, and AIP Assist.
OWD is a consultancy that builds and deploys enterprise AI solutions. They are putting together a senior team for a global consulting client, operating in small delivery pods with a focus on Palantir Foundry and AIP.
Own customer deployments end to end, working directly with customers to turn business problems into software.
Build automated, normalized pipelines on top of messy real-world supply chain data and shape optimization logic and models.
Wire Atomic into customer systems and partner platforms while building interfaces and AI features for plan analysis.
Atomic is rebuilding the brain behind the American supply chain with an AI-native stack, delivering operations optimization for customers. We're looking for first-principles thinkers who want to write code that drives the physical world and work directly with customers who run it.
Architect and own marketing data infrastructure: ETL/ELT pipelines, Databricks Gold Layer tables, and core data models.
Design semantic layers, data dictionaries, and documentation that enable self-serve BI and conversational analytics.
Lead cross-team initiatives and drive AI-enabled data products and agents from concept to production.
Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, helping organizations that run physical operations harness IoT data to improve safety, efficiency, and sustainability. As a recently public company, it offers a high-growth, collaborative culture with autonomy to make an impact.
Architect platform-level AI, knowledge graph, and data systems for enterprise supply chains.
Lead hands-on technical development in agentic AI and mentor engineers.
Evaluate emerging technologies to drive product innovation and scalable design.
Kinaxis is a global leader in modern supply chain orchestration, powering complex supply chains with an AI-infused platform. With over 2,000 employees worldwide, it is a top employer with a collaborative culture.
Own Seer's data platform end-to-end and set technical direction for architecture and standards.
Build AI agents and workflows that automate repetitive data and BI tasks.
Mentor engineers and analysts while documenting playbooks and decision records.
Seer Interactive is a digital marketing consultancy that harnesses compassion, data, technology, and AI to make a mark for clients. It is a remote-first, Certified B-Corp agency with team members across the country.
Define and own the technical strategy for Octave's data platform and AI/ML capabilities, partnering with product and business leaders.
Lead and mentor a data platform team while remaining hands-on in architecture, prototyping, and complex engineering problems.
Balance near-term delivery with foundational investments to scale data and AI initiatives, driving KPIs and technical excellence.
Octave is a modern behavioral health practice offering evidence-based individual, couples, and family therapy in-person and virtually. They focus on quality care and payer partnerships to make therapy affordable, with a growing team and a culture of empathy and collaboration.
Architect AI infrastructure including backend services, data pipelines, and orchestration workflows for LLMs.
Write production-grade, high-performance code for high-throughput AI workflows and data-driven systems.
Integrate foundational models, vector data stores, and cloud microservices into scalable platform components.
Korza builds AI infrastructure and products, specializing in LLM and agent-based systems. The company emphasizes cross-functional collaboration and rapid shipping of cutting-edge AI capabilities.
Develop cutting-edge GenAI solutions incorporating the latest Databricks AI research to solve customer problems.
Own production rollouts of consumer and internally facing GenAI applications.
Serve as a trusted technical advisor to customers across a variety of domains.
Databricks is the Data and AI company, offering a unified platform for data engineering, analytics, and AI. With more than 20,000 customers including 70% of the Fortune 500, Databricks has 30+ offices globally and fosters an inclusive, collaborative culture.
Evolve and run the agent platform for internal and client-facing use cases, including runtime, SDKs, templates, and paved paths.
Harden infrastructure with IaC, network topology, security controls, and operational tooling with SRE.
Design for regulated industry with PHI isolation, least-privilege identity, audit trails, and human review; own production SLOs and incident response.
Arcadia is a healthcare data platform that transforms complex, diverse data into a unified foundation to help organizations deliver better care, boost revenue, and lower costs. It is a remote-first team of fiercely driven individuals committed to making healthcare more sustainable, named a Built In 2026 Best Place to Work.
Design and build the storage layer that preserves source disagreement and history rather than resolving them away at write time.
Implement provenance and lineage across every node and edge against the platform's evidence-record contract.
Carry match confidence and uncertainty forward through the platform to support point-in-time questions about entity beliefs.
DEFCON AI is an insights company that uses artificial intelligence, mathematical optimization, and data analytics to help customers anticipate and mitigate disruptions. The company offers a fully remote, results-based culture with comprehensive benefits and a focus on secure government cloud environments.
Lead the systems and engineering org through a shift from IT/admin-centric to platform and data engineering.
Own the technical architecture, design, and delivery roadmap across business systems, enterprise data, and integrations.
Manage and grow managers and ICs while partnering to deliver the BADaS roadmap.
Chainalysis is the blockchain data platform that links digital asset movement to real-world services for investigation, risk management, and market innovation. The company fosters an AI-driven, inclusive culture where employees are empowered to build trust in blockchains.
Build and scale data pipelines for ingestion into Snowflake, focusing on reliability and performance across a $750M+ e-commerce business.
Design and ship agentic systems that automate data engineering work, including pipeline generation, testing, and maintenance.
Collaborate with analysts, data scientists, and product teams to deliver end-to-end data solutions, from ingestion to advanced analytics and AI.
Babylist is the leading platform for expecting and new families, offering a universal registry, shop, health, and more. With over 10 million users and $750M revenue in 2025, Babylist is a remote-first, AI-forward company that values focus, intention, and recharging.
Work directly with leading AI labs and enterprises to define research goals and technical requirements.
Build data intelligence systems and implement ML pipelines for data curation, model training, and evaluation.
Develop LLM applications, including multi-agent systems, RAG workflows, and evaluation harnesses.
Our client is a venture-backed AI company building intelligent systems by combining human expertise with machine learning. With over $40 million in funding and a global expert network, they provide critical infrastructure for AI development.
Own data infrastructure hands-on: pipelines, ETL/ELT, freshness, reliability, and cost.
Build trusted data layer with models, tests, observability, and metrics for self-serve use.
Lead as player-coach: grow a two-person team and ship an AI initiative quarterly.
Fundraise Up is a global fundraising platform that makes donating to nonprofits fast, seamless, and accessible. It powers tens of millions in monthly donations, serves leading nonprofits like UNICEF, and holds a 4.9/5 rating.
Design, build and operate production AI agents, including an autonomous coding agent that works from Jira and Slack, opening PRs and fixing CI failures.
Build the retrieval and context layer behind our AI brain: embeddings, semantic search, knowledge-graph modeling, and integration with Snowflake and internal docs.
Harden agents against prompt injection and over-broad permissions, and drive cost and latency down using caching and structured outputs.
Weedmaps is a global leader in the cannabis industry, providing a platform for consumers and businesses. The company has a collaborative culture focused on innovation and community, serving the U.S. and worldwide.
Build production Agentforce agents including topics, actions, grounding, guardrails, and evaluation harnesses.
Implement actions across Flow, Apex, prompt templates, and external APIs, grounding answers in Data 360.
Design guardrails against prompt injection and data leakage, and run evaluation and regression tests before changes.
AspenView Technology Partners builds high-performing nearshore IT teams for North American clients, focusing on innovation and efficiency. They are a people-first, purpose-driven company that believes great culture drives great outcomes.
Lead data platform org: database engineering, data capture, curation, production experience, and governance.
Define strategy and roadmap for data infrastructure, modernizing architecture and reducing technical debt.
Build scalable platforms and tooling for independent, reliable data pipelines.
Our partner is a data-driven organization focused on building reliable data infrastructure and enabling engineering teams to operate independently. They foster a remote, digital-first culture with a data platform team of ~50 people.
Combine insurance domain expertise with full-stack data and analytics engineering.
Design rigorous data models, pipelines, and semantic layers for AI reliability.
Use SQL, Python, dbt, and Snowflake to build and maintain data infrastructure.
Nimble Gravity helps leading financial institutions and other clients adopt AI in meaningful ways. The company values teaching, facilitating, and influencing to help people embrace new ways of working.
Design and maintain scalable people-data models and architecture within the enterprise data warehouse.
Establish automated data-quality monitoring, validation rules, and end-to-end lineage controls.
Own the AI-readiness roadmap and drive technical infrastructure investments to enable approved AI use cases.
They are a multinational technology consulting firm that helps businesses leverage technology for success. Founded in 2016, the company has Swiss roots and a development team in Latin America, blending Latin American talent with Swiss organizational culture.