Define technical direction and architecture for AI-powered features.
Build end-to-end AI solutions, from exploring models and APIs to designing data flows.
Act as a multiplier for other teams by pairing with engineers and sharing best practices.
Panopto is a customer-centric learning technology company and the leader in visual and audio-based learning. They empower organizations to share knowledge effortlessly and have been adopted by more than 1,600 companies and universities worldwide with over 11 million end users.
ServiceNow, founded in 2004, is a global market leader that brings innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Their intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations.
Design and implement production-grade RAG pipelines and agentic workflows using Python.
Evaluate new models and prototype approaches for SBIR/government deliverables.
Document architectures and contribute to technical reports for contract deliverables.
Unstructured is focused on transforming unstructured data into a format usable by LLMs. Their Public Sector team works on high-impact contracts and seek to bridge the gap between custom builds and a scalable product roadmap.
Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.
Write code and build production software and workflows on top of the Tessera Mosaic platform
Conduct deep process discovery with customers, breaking down complex, ambiguous, cross-system problems into well-defined solutions
Build lightweight prototypes or workflows that showcase Tessera’s AI agents in real enterprise scenarios
Tessera Labs is building the agentic automation layer for the modern enterprise. Their AI platform automates the most complex manual business workflows with superhuman quality and speed and is backed by a16z and Foundation Capital.
Design and Develop machine learning infrastructure, tooling, and models to help teams deliver world class experiences.
Help product and development teams understand the data lifecycle and the inherent experimental nature of machine learning.
Build internal products and platforms to enable teams to incorporate AI into their features and customer facing products.
Weave provides an all-in-one platform for small businesses to streamline communications, and patient experiences. The company has a phenomenal culture, and Weave's teams are cross-functional agile teams composed of a product owner, backend and frontend devs and devops.
Build RAG systems: Architect, prototype, and deploy RAG pipelines, combining vector search, hybrid retrieval, reranking and contextual compression techniques.
Build LLM powered agent systems : Contribute to design and orchestration of multi-agent LLM systems using community frameworks and custom orchestration layers.
Solve complex problems : Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data.
Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. They offer their users the insights and visibility they need to nurture and tap into the opportunities in their team's network. With more than 3,000 customers worldwide, Affinity has raised $120M to empower dealmakers to find, manage, and close more deals.
Own model serving: Design, build, and maintain low-latency, highly-available serving stacks for in-house ML model serving and integrating with LLM serving partners.
Automate training pipelines: Orchestrate data prep, training, evaluation, and registry workflows on Kubernetes with solid MLOps practices.
Optimize at scale: Profile and tune throughput, memory, and cost; introduce caching, sharding, batching, and GPU/CPU autoscaling where it pays off.
Cresta aims to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Their platform combines AI and human intelligence to help contact centers discover customer insights and automate conversations.
Design and build scalable serving infrastructure for video generation models.
Build robust APIs and SDKs that enable customers and partners to integrate video generation into their products.
Develop compelling demo applications that showcase our platform's capabilities.
EnCharge AI is building the next generation AI platform with in-memory-computing architecture that delivers a 10x improvement in compute energy efficiency and performance for AI inference workloads. They are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors.
Design and curate evaluation datasets for retrieval quality.
Measure retrieval quality using metrics like Recall@k, Precision@k, MRR, and NDCG@k.
Conduct systematic error analysis on AI/ML system outputs; build structured failure taxonomies.
Jump empowers financial advisors, firms, and clients to thrive in the age of AI by automating tasks like meeting prep and compliance. As a Series A company, Jump has raised $30M and grown to 100+ employees including leaders from top companies and schools, fostering a culture of velocity, world-class standards, direct communication, and kindness.
Work with customers to develop requirements and scope for new AI/ML projects.
Develop computer vision and machine learning based solutions for inspection platforms.
Analyze large datasets to extract meaningful insights and drive business decisions.
Loram provides advanced insights into inspection data collected for customers worldwide. The company has a small, collaborative team managing the entire project lifecycle, offering employees an outsized impact on inspections and maintenance recommendations.
Scale the decisionmaking process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments
Improve the developer experience for the data science team
Upgrade our observability tooling
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. They leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. An Idealab company, tvScientific was co-founded by executives with deep roots in programmatic advertising and digital media.
Documentation and context: Own our repo-wide agents.md file.
Hightouch is the modern AI platform for marketing and growth teams. Its AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance. The company partners with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others. They value strong communicators with a growth mindset and are motivated and persistent in achieving our goals.
You will design, build, and operate core systems that enable autonomous agents to function reliably in production.
You’ll build production-grade agentic workflows, retrieval and memory systems, multi-model execution, and tool-calling integrations that interact safely with enterprise systems.
You’ll explore new approaches, prototype quickly, and turn what works into durable production systems.
Kindo is an agent automation platform for DevOps and SecOps teams. They help organizations automate high-friction operational work using autonomous agents. Kindo is a small, highly technical team with strong customer traction and real enterprise revenue.
Own and evolve Orchestry’s Fabric-based Data Warehouse as the trusted foundation for analytics and AI.
Design the warehouse not just for reporting, but for reasoning.
Develop internal AI agents that query the warehouse, interpret results, and recommend or take action
Orchestry is a rapidly growing SaaS company in the Microsoft 365 ecosystem, helping organizations simplify, govern, and automate their digital workplace. They work globally with partners and enterprise customers and operate as a fully remote company by design.
Rapidly prototype MVPs using LLM APIs to address business bottlenecks.
Develop production-grade internal applications with reliable frontends and robust backends (Python).
Design and implement RAG architectures and structured output pipelines grounded in company data.
Bestow is a leading vertical technology platform that serves some of the largest and most innovative life insurers. Their platform unifies the fragmented, legacy value chain, enabling carriers to launch products in weeks instead of years. They are backed by leading investors and trusted by major carriers.
Osano is an innovative B-Corporation focused on giving modern enterprises the ability to innovate quickly and earn customer trust by respecting data privacy and complying with consent guidelines. We are scaling fast with a multi-year runway and ambitious growth plans.
Own end-to-end execution of AI agent deployments from discovery and scoping through launch and optimization.
Configure agent workflows, decision logic, and automation behaviors to maximize accuracy, reliability, and business outcomes.
Implement guardrails and validation frameworks to ensure safe, compliant, and predictable agent performance.
Level AI is transforming how enterprises understand and engage with their customers. Their AI-native CX platform combines conversation intelligence, real-time agent guidance, and AI Virtual Agents to help brands deliver exceptional customer experiences at scale.
Building agents that proactively draft outreach for sales reps when market signals fire.
Developing AI-powered account research and scoring that automatically qualifies prospects.
Scaling data pipelines and backend systems as the customer base grows.
Revenue Vessel is a venture-backed software company aiming to modernize how international logistics companies sell. They've built a product their customers love, almost $2M in ARR (tripled in the last 9 months), with a clear path to $5M by year end. The co-founders bring deep domain expertise.
Design, develop, and maintain new features across Visia's engineering services.
Maintain system reliability by monitoring, debugging, and resolving technical issues.
Collaborate with other engineers to write well-documented and maintainable code.
Visia is revolutionizing the recycled materials supply chain by providing processors with real-time, actionable insights into their material streams through our AI-powered platform. Their solutions have delivered measurable results, with customers seeing throughput increases of over 300% and they aim to be the single source of truth for materials in the waste stream.