Design and develop AI-powered applications using LLMs, Generative AI, and Machine Learning.
Build AI Copilots, AI Agents, and RAG solutions to improve software engineering and operational workflows.
Integrate AI capabilities into enterprise applications, APIs, Azure cloud services, and DevSecOps pipelines.
Planned Systems International (PSI) is a technology company that provides IT solutions and services to federal agencies, including the U.S. Department of Veterans Affairs. PSI is a mid-sized organization that values innovation and collaboration, fostering a culture of professional growth and support.
Design, develop, and maintain AI and LLM-powered applications using Azure cloud technologies.
Integrate AI capabilities with internal systems and data sources.
Collaborate with cross-functional teams to translate business requirements into technical solutions.
ISACA champions the global workforce advancing trust in technology. With 195,000+ members and 230 chapters globally, it provides credentials and training for IT professionals.
Design and develop back-end AI-powered applications and services using enterprise platforms.
Build and integrate LLMs and multi-agent systems with frameworks like Semantic Kernel and LangChain.
Collaborate with cross-functional teams to deliver end-to-end AI solutions, ensuring compliance with GDPR and Responsible AI guidelines.
Version 1 is a technology and transformation consultancy trusted by global brands, with deep expertise in Microsoft, AWS, Oracle, and other technologies. They are a 3300+ employee company with €350m revenue, recognized as a Great Place to Work in Ireland and UK for over 10 years.
Design and build production-grade AI and Generative AI solutions, including LLM applications, AI agents, and RAG pipelines, on Microsoft Azure.
Integrate AI capabilities with enterprise platforms like CRM, ERP, and ITSM, ensuring scale, reliability, and security.
Contribute to responsible AI practices and implement governance controls such as data classification, prompt injection defenses, and audit logging.
Unit4 is an agile, fast-growing cloud company redefining Enterprise Resource Planning (ERP) for mid-market people-centric organizations. With over 40 years of heritage, it fosters a high-performance, people-first culture that values trust, autonomy, and inclusion.
Lead end-to-end AI solutions, integrating LLMs and building agentic systems in production.
Design and optimize RAG pipelines, enforce PII redaction, and ensure secure data handling.
Mentor engineers, evaluate AI tooling, and drive adoption of agentic SDLC practices.
3Pillar is an AI transformation partner helping enterprises build AI-native products and intelligent agents. With teams across North America, Europe, Latin America, and Asia, they foster a remote-first global culture guided by collaboration, respect, and evolution.
Own AI features end-to-end, from agentic workflows and RAG pipelines to production infrastructure.
Build evaluation frameworks and experimentation loops to turn models into reliable, production-grade systems.
Partner with product and domain experts to push the frontier of AI capabilities inside an ERP.
DualEntry builds an AI-native ERP that automates manual data entry for accounting teams, serving companies from $5M ARR to NYSE-listed firms. It is a small, fast-growing startup with a culture of urgency and ownership, backed by top venture capital firms.
Design, develop, and deploy production-grade AI-powered backend systems.
Integrate large language models and machine learning models into scalable architectures.
Optimize system performance and implement strong testing practices.
Our partner company is building advanced AI-powered systems to create meaningful customer value. The team operates in a high-autonomy, fast-moving environment focused on production-ready AI solutions.
Design and develop AI-powered applications and enterprise solutions using Large Language Models.
Build scalable Python backend services and integrate AI with cloud platforms and databases.
Optimize AI model performance and collaborate with multidisciplinary teams.
The company is a partner organization that develops AI-powered solutions for enterprise clients. They have a diverse, international team and foster a culture of innovation and continuous learning.
Design and deploy scalable AI and machine learning architectures using modern frameworks like LLMs and cloud platforms.
Develop, train, and optimize AI models, data pipelines, and AI-powered services with intelligent agents.
Collaborate with technical and business leaders to define AI strategy and translate business objectives into technical solutions.
They build advanced AI-powered systems for automation and business transformation. They offer a remote-first environment with a culture focused on integrity, respect, innovation, and continuous improvement.
Develop and integrate AI-powered systems to support EdReports' curriculum review process, including data pipelines, retrieval systems, and prompt workflows.
Build internal tools and interfaces for users to interact with AI outputs, ensuring accessibility and security.
Collaborate with product managers and subject matter experts to translate user needs into scalable technical solutions.
EdReports.org is a nonprofit that publishes free, online, evidence-rich reviews of instructional materials to improve curriculum quality. They have a remote-first culture and are committed to diversity, equity, and inclusion.
Set technical direction across multiple services and teams as a senior individual contributor.
Define AI platform patterns including agent orchestration, tooling, governance hooks, and evaluation surfaces.
Stay hands-on, designing and building production systems in Python across the AI stack.
Mitratech builds world-class products that simplify operations in Legal, Risk, Compliance, and HR functions. Serving 20,000 client companies globally, including 30% of the Fortune 500, the company fosters a diverse, inclusive culture that blends entrepreneurial spirit with enterprise investment.
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 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, develop, and deploy production-grade AI-powered backend systems integrating LLMs and traditional ML models.
Integrate and optimize vector databases for RAG pipelines, and write clean, well-structured Python code.
Debug complex cross-layer issues and collaborate with product and engineering teams to deliver cohesive solutions.
We are a fast-growing product company integrating cutting-edge AI capabilities into our core offering to deliver exceptional value to customers. Our small, fast-moving team works on practical, real-world AI applications with high autonomy.
Lead complex AI engineering workstreams across multiple business areas and stakeholder groups.
Design and build AI-powered applications using LLMs, agents, and modern architectures.
Establish best practices for prompt engineering, API integrations, and code quality.
The partner company focuses on designing and delivering advanced AI solutions that help organizations transform business processes and create measurable value. It offers a collaborative and inclusive culture with opportunities for career growth and international mobility.
You will build AI-assisted tools, workflow automations, agents, prompts, and integrations to reduce manual effort and improve productivity.
You will partner with business stakeholders to understand high-friction workflows and deliver fit-for-purpose AI solutions.
You will implement engineering controls for data handling, access management, prompt safety, and output validation.
Shield AI is a venture-backed defense-tech company that develops intelligent systems, including Hivemind autonomy software and V-BAT and X-BAT aircraft, to protect service members and civilians. With offices across the U.S., Europe, the Middle East, and Asia-Pacific, the company's technology supports operations worldwide.
Act as the technical bridge between product and customer deployments, translating business requirements into robust implementations.
Lead end-to-end production rollouts of AI workflows, including integrations, glue code, and monitoring.
Build reusable templates and deployment playbooks to make customer setups scalable and repeatable.
This company develops an AI-powered voice assistant platform for businesses. It is a seed-stage startup with a small, collaborative team focused on rapid iteration and customer success.
Assist in building and testing AI-powered applications using enterprise LLMs (OpenAI, Anthropic Claude, Google Gemini) under the guidance of senior engineers.
Contribute to the development and testing of retrieval-augmented generation (RAG) systems that ground AI responses in proprietary data.
Participate in rapid POC development cycles, contributing code, documentation, and iterative improvements.
WelbeHealth serves our communities’ most vulnerable seniors through shared intention, pioneering spirit, and the courage to love. We are a mission-driven healthcare organization focused on participant care, innovation, and team culture.
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.
Build machine learning and generative AI platforms used across the company.
Create backend infrastructure for scalable, resilient, and high-performance solutions.
Deploy and manage applications in production, coding daily with Python and modern frameworks.
Lyra Health provides evidence-based mental health care, serving over 20 million people globally. The company employs a large workforce and emphasizes a collaborative, mission-driven culture focused on social impact and clinical excellence.