Design and build the AI execution platform with event-triggered workflows and model-agnostic runtimes.
Develop evaluation layers with golden test suites and safety checks to ensure AI reliability.
Implement governance mechanisms and build AI agents supporting business workflows.
Jobgether is a platform that connects talent with opportunities using AI-powered matching. The company has a globally distributed team and a remote-first culture.
Design and deliver production-ready AI solutions including machine learning, generative AI, and LLM applications.
Translate complex business needs into scalable technical architectures and implementation plans.
Guide clients and cross-functional teams through discovery, architecture, and adoption of AI systems.
This company partners with organizations to deliver AI and data transformation solutions. It fosters a collaborative, remote-first culture focused on innovation, inclusivity, and meaningful impact.
Design, build, and maintain scalable data pipelines using modern tools like dbt, Airflow, and Prefect.
Develop curated data models and products to support analytics, AI workloads, and operational use cases.
Collaborate with AI, Analytics, and Product teams to deliver high-quality, scalable data solutions.
RemoFirst offers a platform that provides people management tools and employee benefits, enabling companies to hire talent globally. It is one of the fastest-growing private companies in the USA, backed by $40M+ in venture funding, with a fast-paced startup culture.
Build and enhance LLM-powered analytics features such as natural-language querying, retrieval-augmented generation, and agentic workflows over structured and unstructured healthcare data.
Contribute to text-to-SQL and semantic-layer systems enabling non-technical users to query complex datasets accurately and safely.
Develop retrieval pipelines using vector search and hybrid keyword+semantic methods while implementing evaluation, guardrails, and hallucination checks for compliance.
BPD is a strategic growth partner that provides integrated branding, marketing, communications, and business consulting solutions for healthcare brands. The company fosters an inclusive culture that values diversity, collaboration, and continuous learning.
Design and build the company's AI-first platform architecture.
Develop agent-based systems, orchestration layers, and inference pipelines.
Build scalable data ingestion, transformation, and feature engineering pipelines.
Our client is an early-stage healthcare AI company leveraging AI, data science, and clinical expertise to generate actionable insights from health data. The small team works alongside experienced founders and world-class advisors, building an AI-native platform from scratch.
Own Delivery End-to-End: Take ownership of features from design through to production.
Shape AI Agentic Systems: Build intelligent workflows using LLMs and agentic architectures.
We build production-ready AI agentic systems that reshape how financial institutions operate. We are a rapidly growing FinTech backed by major investors, recognized as Fintech of the Year for two consecutive years, with a team of experienced engineers and PhD-level AI specialists.
Drive backend development for AI workflows using Python and FastAPI as part of a collaborative team.
Productionize LLM integrations with systems for Bedrock usage, quotas, retries, and cost controls.
Build for scale by optimizing async job orchestration, performance, and data-layer for petabyte-scale enterprise data.
Smarsh empowers organizations to manage risk and uncover intelligence in digital communications. With over 6500 clients in regulated industries and consistent recognition from Gartner and Forrester, Smarsh has been listed on the Inc. 5000 as one of America's fastest-growing companies since 2008.
Build and evolve core AI platform capabilities enabling teams to scale GenAI applications.
Design and implement distributed systems supporting multi-step AI workflows and integrations.
Collaborate across engineering, data science, and product to turn emerging AI use cases into production-ready platform capabilities.
Samsara is the pioneer of the Connected Operations Cloud, providing IoT solutions to improve safety, efficiency, and sustainability for industries like agriculture, construction, and transportation. As a recently public company, it fosters a culture of ownership and high-impact building with a focus on long-term growth.
Design, develop, and deploy production-ready generative AI and machine learning applications.
Collaborate with cross-functional teams to integrate AI capabilities into business systems.
Apply prompt engineering, retrieval-augmented generation, and evaluation strategies to optimize AI performance.
The company is a technology firm specializing in AI transformation initiatives. It fosters a collaborative culture centered on learning, innovation, and professional development.
Architect and own the enterprise AI data platform, including data ingestion, transformation, storage, and serving for all AI systems.
Design retrieval infrastructure for RAG applications, including embedding pipelines, vector stores, and hybrid search layers.
Own observability and evaluation frameworks for AI agents, ensuring output accuracy and audit trails.
3Pillar is an AI transformation partner helping enterprises build AI-native products and intelligent agents. With teams across multiple continents, they work with ambitious companies in financial services, healthcare, media, and technology.
Build next-generation 'Agentic' systems by bridging raw data and actionable AI.
Develop autonomous agents that can reason, search, and execute complex workflows.
Apply expertise in GenAI, data engineering, and software craftsmanship to production standards.
Anovia is a technology outsourcing support provider specializing in telecommunications, workflow, and knowledge processes. They have over 200 professional experts globally and service Fortune 500 and Fortune 1000 companies.
Design, build, and architect AI capabilities on the Jitterbit platform using LLM, RAG, Azure AI, and other cutting-edge technologies.
Collaborate with cross-functional teams to define, design, and ship new features, ensuring reliability and scalability.
Mentor fellow engineers and stay current with emerging trends in AI and cloud computing to drive innovation.
Jitterbit is a leading data, application, and process workflow automation solution rooted in iPaaS, integrating critical business processes to accelerate digital journeys. The company is a growing leader with a distributed, remote-friendly culture that emphasizes performance, innovation, and collegiality.
Lead end-to-end development of advanced AI solutions including agentic systems, RAG pipelines, and multi-agent workflows.
Architect AI infrastructure with guardrails, access controls, and compliance protocols for ethical deployment.
Guide multi-disciplinary teams, setting technical playbook and best practices.
Nava is a consultancy and public benefit corporation that makes government services simple and effective. Since 2015, federal, state, and local agencies have trusted Nava to solve technology modernization challenges, and they maintain a collaborative, remote-friendly team environment.
Architect and build AI platforms, working across distributed teams to deliver GenAI products like Abacus Agents, MCP, and RAG systems.
Develop ML/AI pipelines for data preprocessing, model training, and evaluation, enabling rapid experimentation and self-healing systems.
Mentor software developers, participate in architectural discussions, and communicate technical direction to align teams and stakeholders.
Abacus Insights transforms healthcare data for health plans to improve outcomes, reduce waste, and enhance member and provider experiences. Backed by $100M from top investors, the company is a collaborative, curiosity-driven team of bold individuals embracing AI and automation to innovate in the healthcare industry.
Build production-ready AI-powered products integrating LLMs, RAG, and agentic workflows into real-world financial processes.
Develop scalable event-driven microservices and APIs with Node.js, TypeScript, and modern React frontends.
Architect cloud-native systems on AWS and implement monitoring, evaluation, and observability for production AI systems.
Aveni is redefining how financial institutions use AI by building production-ready agentic systems that replace fragmented processes. Backed by investors including Puma Private Equity, the company completed one of Scotland's largest Series A rounds and is scaling its team to meet growing demand.
Build scalable Python services and AI platform components deployed in cloud environments.
Our partner is a technology company developing advanced agentic AI platforms for enterprise automation. They foster an inclusive, remote-friendly culture with a focus on innovation and collaboration.
Lead a high-performing AI and data science team to develop and deploy AI-driven security systems.
Define and execute the technical roadmap for AI, ML, and data systems, ensuring robust performance and scalability.
Manage the entire lifecycle of data pipelines and AI models, integrating with platforms like AWS Bedrock and OpenAI.
Bugcrowd is a crowdsourced security platform that unites organizations with a global network of hackers to identify vulnerabilities. The company is backed by prominent investors and fosters a collaborative, inclusive culture with a diverse team of professionals.
Design, build, and operate production AI systems, including agent orchestration and retrieval pipelines.
Architect and maintain marketing databases, pipelines, and the Customer Data Platform for advanced analytics.
Automate workflows with AI, ensuring data quality and reliability across end-to-end pipelines.
Samsara is the pioneer of the Connected Operations™ Cloud, enabling organizations to harness IoT data to improve the safety, efficiency, and sustainability of their physical operations. It is a publicly-traded company with a culture of autonomy and support, encouraging rapid career development and a scrappy, fast-moving team environment.
Work directly with customers to understand their workflows and operational constraints.
Build and deploy AI-enabled applications, agents, and workflow automation using LLM techniques.
Own delivery from prototype to production, including architecture, backend services, and integrations.
Trase Systems provides an end-to-end platform for deploying and optimizing AI in the enterprise, focusing on bridging the 'last mile' of AI adoption. As a startup founded in 2023, the team is small, agile, and collaborative, with a strong emphasis on innovation and direct customer impact.
Design, build, and deploy agentic platforms and AI-powered solutions within enterprise client environments.
Develop scalable LLM-based applications using modern AI frameworks and engineering practices.
Collaborate with technical and non-technical stakeholders to understand business needs and deliver effective solutions.
Our partner is a company that deploys advanced AI-powered solutions within complex enterprise environments. They work with a global team of engineers, designers, and technology experts to create scalable agentic platforms.