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, 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 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.
Lead the end-to-end lifecycle of language models and AI solutions, from research to production.
Navigate between closed and open-source ecosystems to maximize quality, optimize latency/cost, and ensure data governance.
Conduct applied research, experimentation, and data curation to create new AI capabilities and continuously improve existing ones.
Blip is a technology company that develops conversational AI and customer service platforms. The company fosters a culture of innovation and technical excellence, with a team of engineers and researchers working on cutting-edge AI solutions.
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.
Build and test components of custom AI systems under senior technical direction.
Participate in client sessions across the engagement lifecycle, taking ownership of scoped assignments.
Develop technical craft through mentorship, LLM integration, and internal AI use cases.
Eliza is a technology services company and Advanced-tier OpenAI partner that helps organizations build and deploy AI solutions. They work across industries with a collaborative, mission-driven team passionate about real-world AI impact.
Own end-to-end delivery quality for major engagements, translating ambiguous client needs into practical execution plans.
Lead solution architecture and technical decision-making, making pragmatic tradeoffs between speed, quality, and client value.
Build and ship production AI/ML systems using Python, ML frameworks, and cloud-native infrastructure while mentoring other engineers.
Eliza is a technology services company and Advanced-tier OpenAI partner that helps organizations build and deploy AI solutions, from generative AI to predictive analytics. They are a collaborative, mission-driven team focused on real-world AI impact.
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.
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.
Design and deliver advanced AI solutions for legal and compliance operations at enterprise scale.
Build end-to-end AI applications using LLMs, RAG, and agentic frameworks with Python and modern orchestration tools.
Partner with legal stakeholders to identify automation opportunities and develop secure, scalable production systems.
Jobgether uses AI-powered matching to connect candidates with hiring companies, streamlining the application process. They operate remotely and focus on efficient, technology-driven recruitment.
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.
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.
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.
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.
Design, build, and deploy production ML and LLM-based systems (RAG, agentic workflows, fine-tuning, embeddings) for enterprise clients.
Own technical delivery end-to-end: from architecture and prototyping to deployment, monitoring, and iteration.
Mentor and support other ML engineers on the team with code reviews, technical guidance, and knowledge sharing.
TensorOps is a boutique AI consultancy that bridges strategy and execution, designing and shipping production-grade AI systems for enterprise clients. We are a 100% remote team of 11+ people, partnering with unicorns and NASDAQ-listed companies, and have a culture of autonomy, open communication, and continuous learning.
Lead end-to-end delivery of AI projects with clear governance and stakeholder communication.
Build and mentor a high-performing AI engineering team, setting technical standards.
Design and deploy production-ready AI systems using RAG, LLMs, and MLOps practices.
Blend is a premier AI services provider that co-creates impactful solutions for clients through data science, AI, technology, and people. The company fosters a culture of innovation and collaboration, focusing on meaningful projects and career growth for its team.
Build and maintain MCP servers, tool definitions, and context management capabilities.
Design and implement intent evaluation, classification, and routing workflows.
Integrate Anthropic and OpenAI models into production environments.
Applaudo designs, builds, and scales AI-powered solutions that create real business impact. They foster a high-performance culture grounded in values such as empowerment, collaboration, and transparency.
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.
Design, develop, and maintain LLM-powered applications and autonomous agents using Python and frameworks like LangGraph.
Build agentic workflows, implement prompt engineering strategies, and integrate LLM models across providers.
Develop observability tools, MCP Server components, and deploy cloud-native solutions on AWS.
NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing content across film, television, and streaming, and operating theme parks. As a subsidiary of Comcast Corporation, the company champions an inclusive culture and strives to develop a talented workforce to serve communities.