Design and develop scalable AI architectures and machine learning models for business objectives.
Build, train, and optimize AI models, data pipelines, and LLM-powered applications using modern frameworks.
Collaborate with stakeholders to translate strategic goals into AI engineering initiatives and mentor team members.
The company is a technology organization focused on developing intelligent software solutions. It fosters a supportive and collaborative team culture with a focus on innovation and continuous improvement.
Design and deploy AI/ML and Generative AI models to drive operational efficiencies across VBC and RCM datasets.
Implement advanced architectures including LLMs, RAG, and agentic frameworks, and build end-to-end pipelines using Python, PySpark, or T-SQL.
Apply MLOps best practices and work with cloud platforms like GCP to ensure scalable and responsible AI deployments.
Privia Health is a technology-driven national physician enablement company that collaborates with medical groups, health plans, and health systems to optimize physician practices and improve patient experiences. The company is led by top industry talent and focuses on reducing healthcare costs through cloud-based technology and scalable operations.
Design, build, and deploy AI/ML solutions focused on large language models using Python and AWS.
Architect scalable APIs and microservices with FastAPI and integrate LangChain for advanced model interactions.
Collaborate with cross-functional teams to apply math, statistics, or physics knowledge to improve model performance and reliability.
Our client is a rapidly growing, venture-backed AI company helping shape the next generation of intelligent systems by combining human expertise with machine learning workflows. Backed by over $40 million in funding and a expanding global network, they build critical human intelligence infrastructure for the AI economy.
Architect and develop cloud-native applications and AI-powered solutions using C# and .NET.
Lead the integration of AI features and autonomous agents to automate business workflows.
Establish engineering standards, mentor developers, and drive architectural decisions.
Milbank is an international law firm providing legal services across multiple offices worldwide. The firm is an equal opportunity employer committed to a diverse and inclusive work environment.
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.
Shape and scale enterprise-wide AI capabilities as a strategic leader, bridging business teams, technology platforms, and AI initiatives.
Design scalable AI architectures and workflows across departments like Engineering, Sales, Marketing, Finance, Legal, HR, and Operations.
Create AI enablement programs including workshops, playbooks, and training materials to increase organizational AI maturity.
This role is listed on behalf of a partner company that manages applications and next steps. They are a global organization focused on enterprise-wide artificial intelligence capabilities, with a collaborative culture that values innovation and learning.
Own end-to-end technical execution for strategic customer and partner engagements, including discovery, infrastructure design, implementation, and production deployment.
Design and build cloud infrastructure supporting advanced AI workloads, including simulation, training, evaluation, inference, and large-scale batch processing.
Improve platform reliability, security, performance, and cost efficiency by debugging issues across application, network, storage, compute, and orchestration layers.
The partner company is building the infrastructure foundation for next-generation AI applications and physical AI workloads. The engineering team is pioneering and values ownership, technical excellence, and solving challenging engineering problems at scale.
Define and document enterprise AI use cases, business value drivers, and target delivery models aligned with organizational goals.
Develop and maintain current-state and target-state AI architecture across the enterprise, including platforms, data flows, integration patterns, security controls, and governance.
Lead build-versus-buy evaluations for AI platforms and services, establish reusable architecture patterns, and guide proof-of-concept strategies.
ISC2 is the world's leading nonprofit member organization for cybersecurity professionals, dedicated to a safe and secure cyber world. With a globally recognized portfolio of certifications and a charitable arm, the organization fosters an inclusive culture built on integrity, advocacy, commitment, inclusion, and excellence.
Architect and build scalable Agentic AI solutions on the Genesys Cloud platform.
Collaborate with product, engineering, and strategic customers to drive AI innovation.
Develop reusable solution accelerators and industry-specific AI capabilities.
Genesys provides AI-powered customer experience and contact center solutions on its Genesys Cloud platform. It is a large, global company with a collaborative culture focused on innovation.
Develop and operate production-ready AI and machine learning systems for enterprise-scale products.
Build and optimize LLM-powered applications, RAG pipelines, and intelligent agents.
Implement software engineering best practices for AI development including CI/CD and testing.
Our partner is building enterprise-grade AI solutions that deliver measurable business impact. They offer a remote-friendly work environment with a collaborative engineering culture focused on innovation, quality, and continuous learning.
Design and architect enterprise AI solutions using Microsoft AI technologies.
Partner with business leaders to define AI roadmaps and identify opportunities.
Provide technical leadership to engineering teams and establish best practices.
The company is a technology partner specializing in enterprise AI solutions and digital transformation. They operate with a remote-first culture, emphasizing innovation, collaboration, and diversity in a fast-growing environment.
Deliver white-glove AI enablement, consulting, and solution engineering across assigned business units, including tool setup, training, and workflow configuration.
Build bespoke AI workflows, agents, and full-stack lightweight internal tools tailored to each area’s specific needs.
Curate prompt libraries, skill repositories, and agent context, while designing role-specific AI training and coaching.
MRO provides AI enablement and workflow solutions in healthcare. They focus on internal tool prototyping and support cross-team collaboration to boost productivity, operating with a culture of hands-on delivery and thought leadership.
Build agentic applications that solve real customer use cases using our platform capabilities.
Design agentic workflows, plugins, and tool integrations that deliver measurable customer value.
Translate ambiguous problems into intuitive AI experiences and rapidly iterate into production-ready solutions.
Legion builds secure, reliable AI systems for government and enterprise, born from a Department of Defense partnership. Trusted by leaders like Palantir, Nvidia, HPE, and Oracle, the company focuses on embedding intelligence into complex systems to optimize workflows.
Own the internal AI product surface end to end, from discovery to prototype to production.
Prototype AI agents and automations yourself using tools like Claude and Cursor.
Drive adoption and set the vision for AI as it grows from a team into a platform.
Tremendous is a global platform for businesses to send thousands of payouts to anyone, anywhere, for free. They are a profitable, fully remote company with a high-documentation, low-meeting culture and an employee NPS in the high 80s.
Partner directly with customers to translate challenges into scalable AI solutions and lead technical discovery.
Design, build, and deploy AI applications using LLMs, cloud-native architectures, and CI/CD pipelines.
Mentor engineers and guide technical workstreams across multiple client engagements with strong ownership.
Jobgether is an AI-powered job matching platform connecting candidates with hiring companies. They use automated processes to evaluate applications and share shortlists with employers, emphasizing efficient, fair recruitment.
Build production-grade AI systems that enhance organizational intelligence and operational efficiency.
Collaborate with cross-functional teams to turn ambiguous AI opportunities into safe, measurable product capabilities.
Design and maintain scalable backend services, data pipelines, and human-in-the-loop workflows.
Honor Technology changes how society cares for older adults by providing technology, tools, and services for in-home care. With a global franchise network and over 100,000 Care Pros, Honor delivers 50 million hours of personalized care annually, fostering a culture of compassion and innovation.
Lead the development and optimization of Large Language Models and Mixture of Experts models.
Collaborate with cross-functional teams to integrate ML models into our platform and conduct cutting-edge research in machine learning.
Mentor junior engineers and contribute to the team’s knowledge sharing and best practices.
webAI is an end-to-end private AI platform that enables enterprises and governments to bring AI to their data, powering specialized intelligence trained on their own knowledge. The company is a dynamic, fast-growing team fostering an exciting and growth-oriented work culture, committed to truth, ownership, tenacity, and humility.
Provide technical leadership and mentorship to junior engineers on the Applied AI team.
Design and implement scalable architectures for LLM-based applications, including agents and vector databases.
Develop evaluation pipelines and prototype components to validate AI product concepts.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They prioritize fair and efficient recruitment, fostering an inclusive and diversity-driven workplace culture.
Design and architect AI capabilities on a cutting-edge iPaaS platform, working with technologies like LLM, RAG, Azure AI, and AWS Bedrock.
Build robust, scalable AI systems that run 24/7/365, collaborating with engineers, product management, and operations.
Mentor team members, use data-driven decision-making, and stay current with emerging AI and cloud computing trends.
Jitterbit is a leading data, application, and process workflow automation solution, rooted in iPaaS and fueled by an ambitious vision to integrate critical business processes. The company empowers enterprises of all sizes to accelerate their digital journey and is recognized in Gartner MQ for seven straight years, with a distributed, fun, fast-paced, and performance-oriented culture.
Design, build, and deploy production AI applications, copilots, retrieval systems, and agentic workflows.
Develop backend services, APIs, and application architectures integrating AI capabilities into enterprise systems.
Deploy AI solutions with security, observability, monitoring, evaluation, and governance.
Aimpoint Digital is a data, AI, analytics, and operations research advisory and solution engineering firm that helps organizations design and deploy enterprise-grade AI platforms and production applications. The company is a technical partner focused on moving beyond experimentation, emphasizing strong engineering discipline and scalable architecture.