Design and optimize prompts for Vision-Language Models to support document classification and code compliance validation. - Build and maintain automated AI evaluation pipelines that measure model accuracy, latency, and cost. - Architect scalable AI platform capabilities using Azure, Python, and FastAPI, ensuring production readiness.
Accela provides cloud-based government software solutions to improve efficiency and citizen engagement, enabling thriving communities. The company has been an industry leader for nearly 20 years, serving small and medium governments with a diverse and inclusive workplace.
Build and evolve shared AI capabilities and reusable services for construction software products.
Design and implement production-grade AI systems including LLM-based experiences and agentic workflows.
Partner with product teams to identify cross-product opportunities and support integration of shared capabilities.
We are a technology company specializing in data science and AI solutions. With over 1,800 talents across 7 global sites, we are a Great Place to Work certified employer that values diversity and inclusion.
Own the design and implementation of Benepass's internal AI platform from 0 to 1.
Accelerate the engineering SDLC with AI-assisted coding, CI/CD integration, and quality automation.
Build agentic workflows and knowledge systems that scale across the company.
Benepass is a fintech platform that makes employee benefits easy, allowing companies to customize perks for their workforce. We're a fast-growing startup backed by major investors with $75M raised and named one of Inc.'s Best Workplaces.
Build and ship AI-powered tools and agents across the full stack, including API integrations and backend services.
Deploy and manage solutions in Azure and AWS, handling monitoring, capacity, and incident response.
Collaborate with stakeholders to scope requirements and deliver production-ready solutions.
Revalize empowers manufacturing businesses with CPQ, PLM, and design solutions. It serves over 16,000 global customers and is a portfolio company of TA Associates and Hg.
Design, build, and launch backend services incorporating LLMs and AI systems.
Build production-grade workflows for model inference, retrieval, and agentic patterns.
Partner with Data Scientists to take models from exploration to production.
SmarterDx uses clinical AI to help health systems capture revenue and improve quality by interpreting patient data. It is a remote-first company with a mission-driven culture, built by physician-data scientists and engineers.
Design, build, and deploy production-grade AI applications, agents, and enterprise workflows.
Establish AI Center of Excellence standards, reusable patterns, and governance practices.
Mentor engineers and influence architecture, engineering standards, and responsible AI across the organization.
They are a technology company focused on building enterprise AI capabilities and scaling AI solutions within a fast-growing environment. The culture is collaborative, fast-paced, and designed for experienced AI engineers who enjoy building and defining what comes next.
Build the planning and execution systems that let Neo safely perform multi-step infrastructure operations across AWS, Azure, GCP, Kubernetes, and more.
Design tool interfaces and context systems to give the agent semantic understanding of cloud resources and access to engineering workflows.
Create feedback loops, self-correction mechanisms, and evaluation frameworks to ensure reliable autonomous operation.
Pulumi is reimagining how teams build cloud software, enabling developers and infrastructure experts to work better together through a unique combination of programming languages, tools, and systems innovation. With a global community of over 350,000 members and serving more than 3,250 customers, Pulumi is a remote-first company that fosters a culture of innovation and inclusion.
Lead the design and development of cloud-native AI solutions using Microsoft Azure and large language models.
Build AI-powered capabilities like RAG, prompt orchestration, and intelligent automation.
Establish engineering standards and collaborate with security teams to ensure compliance.
Our partner is a company that builds cloud-native AI solutions to empower internal teams and accelerate innovation. They have a remote-first engineering team and offer competitive benefits.
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.
Embed across teams to identify where AI can remove operational friction and build internal tools end-to-end.
Drive adoption through workshops, pairing, and office hours, measuring success by active usage.
Partner with Security to establish guardrails, access scoping, and audit trails for AI solutions.
LocalStack is a local cloud development platform that provides secure local sandboxes simulating cloud environments for developers and AI agents. They are a Series A startup with $25M funding, globally distributed teams across 25 countries, and a culture focused on ownership, openness, and excellence.
Build and deploy AI-enabled applications and enterprise solutions using Python, Azure, and LLM APIs.
Integrate AI workflows with Microsoft 365, SharePoint, and enterprise data systems.
Implement security controls, testing, and CI/CD processes for production-ready AI solutions.
Atlas Technica provides IT management, user support, and cybersecurity for hedge funds and investment firms. Founded in 2016, the company has grown through a focus on service and values ownership, execution, growth, intelligence, and camaraderie.
Embed with enterprise customers to prototype and ship production-grade AI-native applications and agentic workflows.
Advise engineering leadership on AI-native adoption strategy, tooling selection, and rollout sequencing.
Assess capability gaps and drive adoption of AI-native practices across the whole product engineering organization.
Astra provides an AI-native development platform and consulting services to help enterprises adopt AI-native software engineering. The company culture values AI-first, customer obsession, and continuous learning, with a focus on transforming engineering organizations.
Design and build reusable platform capabilities for LLM applications, AI agents, RAG, and tool calling.
Develop scalable data pipelines and secure integrations connecting AI applications to enterprise systems.
Establish technical standards for AI deployment, observability, evaluation, and lifecycle management.
Jobgether uses AI-powered matching to connect candidates with roles. They operate as a global, fully distributed international team with colleagues across multiple countries, offering a collaborative and inclusive environment.
Lead technical audits and design AI-powered solutions for client systems, platforms, and integrations.
Build and deploy production-grade AI agents, automations, and internal tools using modern full-stack technologies.
Identify recurring patterns and transform successful solutions into reusable modules for faster future delivery.
They are a specialist digital transformation consultancy that helps small and medium-sized businesses adopt AI operating systems, intelligent agents, and automation solutions. The team emphasizes technical practicality, innovation, client outcomes, and responsible AI implementation.
Build, maintain, and enhance secure, reliable AI-enabled applications for internal business teams.
Work at the intersection of Python backend engineering, Azure cloud services, and practical AI implementation.
Collaborate with stakeholders to understand requirements and design production-ready solutions.
Penguin Random House is a leading publishing house with nearly 300 imprints, publishing books across all genres for all ages. They have a vibrant, diverse international community and value the array of talents and perspectives that a diverse workforce brings.
Deliver AI solutions end-to-end: build, test, integrate, deploy, and ship GenAI services into production.
Design and implement Python-based services integrating LLMs with client systems using orchestration frameworks.
Ensure operational health through observability, evaluation tooling, and adherence to governance guardrails.
AHEAD builds platforms for digital business by weaving together advances in cloud infrastructure, automation and analytics, and software delivery. We prioritize creating a culture of belonging and are an equal opportunity employer that values diversity and collaboration.
Work directly with client teams to understand complex workflows and identify opportunities for AI automation.
Build, deploy, and maintain production solutions integrating with TMS, WMS, and ERP platforms.
Tune AI agents and automated workflows using production data to continuously improve performance.
The company specializes in AI-driven automation and enterprise integrations for logistics and supply chain operations. It is a growth-stage, fast-moving environment that values speed, pragmatism, and ownership.
Lead customer workshops and design scalable platforms for cloud-native applications and AI workloads.
Drive cloud migration and modernization initiatives with reusable automation and platform capabilities.
Use AI coding assistants to accelerate solution delivery while ensuring security, quality, and governance.
AHEAD builds platforms for digital business by weaving together advances in cloud infrastructure, automation, and analytics to help enterprises deliver on digital transformation. The company fosters a culture of belonging where all perspectives are valued, and emphasizes collaboration, ownership, and continuous learning.
Design and build production-grade LLM-powered agents and workflows, including architecture decisions on system design and deployment.
Develop and optimize prompts, RAG pipelines, and agent reasoning patterns, building evaluation frameworks for accuracy and performance.
Implement and manage end-to-end AI systems on cloud infrastructure (AWS, GCP, or Azure), collaborating with cross-functional teams.
Smartsheet empowers teams to manage work seamlessly and scale solutions smarter with AI-powered agents. The company fosters an inclusive, collaborative culture where diverse perspectives are valued.
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.