Set technical direction for complex GenAI and agentic systems, building them hands-on and raising the bar for production-ready AI.
Own the hardest problems in AI portfolio, from agentic platforms at scale to AI in regulated, high-stakes environments.
Partner directly with client leadership to translate business strategy into AI architecture and shape solutions in pre-sales.
Egen is a fast-growing and entrepreneurial company with a data-first mindset, helping clients drive action and impact through data and insights using advanced technology platforms like Google Cloud and Salesforce. We are committed to being a place where the best people choose to work, dedicated to learning, thriving on solving tough problems, and continually innovating to achieve fast, effective results.
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.
Identify workflows where AI agents can achieve 10-100x efficiency gains, build the business case, and align with domain leadership.
Design and implement agentic workflows integrating CRM, ERP, ticketing, and other enterprise systems with human-in-the-loop checkpoints.
Own production agent performance, track KPIs, tune prompts and retrieval, and provide observability for continuous improvement.
Natera is a global leader in cell-free DNA testing, dedicated to oncology, women's health, and organ health. The team consists of highly dedicated professionals from world-class institutions, working in a challenging and collaborative culture.
Lead end-to-end AI project delivery, ensuring governance, stakeholder communication, and reliable execution.
Design and build robust RAG systems, agentic frameworks, and LLM-powered solutions for production environments.
Mentor junior engineers and contribute to proposals, solution design, and new business initiatives.
Blend is a premier AI services provider that co-creates meaningful impact for clients through data science, AI, technology, and people. With a mission to fuel bold visions, the company aligns human expertise with artificial intelligence, fostering innovation and value for its clients.
Develop and deliver production features using Claude Code and agentic engineering workflows.
Design, deploy, and maintain cloud-based services using GCP technologies including BigQuery, Cloud Run, and Vertex AI.
Establish best practices for agentic software engineering and mentor engineers on modern AI-assisted development approaches.
The company is a technology firm focused on AI-powered software delivery and cloud engineering. It operates as a remote-first organization with a collaborative culture emphasizing innovation and trust.
Design and implement structured multi-agent architectures using Google ADK for production-ready systems.
Build deterministic graph workflows and integrate AI agents with enterprise datastores, APIs, and MCP tools.
Deploy optimized agents to Agent Engine via Google Cloud Platform, ensuring high availability, security, and low latency.
TTEC Digital pioneers engagement and growth solutions that fuel exceptional customer experience (CX). With 1,800+ employees, we are part of TTEC Holdings Inc., which has been certified as a Great Place To Work 2024-2025 across 14 countries.
Design and build production-grade LLM-powered agents and workflows for enterprise-scale AI solutions.
Develop and optimize RAG pipelines, agent reasoning patterns, and evaluation frameworks to measure model quality.
Collaborate with Engineering, Product, and cross-functional teams to translate business requirements into impactful AI systems.
Smartsheet builds AI-powered strategic planning and work execution agents through SmartAssist, an intelligent agent platform. The company is a publicly traded, large enterprise with a collaborative, inclusive culture that values diverse perspectives and engineering rigor.
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.
Design and build scalable AI-powered solutions on Genesys Cloud, including Agentic AI platforms and industry-specific accelerators.
Provide technical leadership across architecture, development, and delivery, collaborating with Product, Engineering, and Customer teams.
Drive adoption of advanced AI frameworks like LangGraph, CrewAI, and RAG architectures to solve real-world enterprise challenges.
Genesys provides AI-powered customer experience solutions that transform customer and employee interactions globally. As a large organization, they foster a culture of innovation and collaboration, offering development opportunities and flexible work options.
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.
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.
Design, develop, and deploy scalable AI solutions using RAG, agentic frameworks, and MLOps.
Collaborate cross-functionally on cutting-edge projects integrating tools like LangChain, CrewAI, and Google ADK.
Apply advanced prompt engineering and monitor AI application performance to ensure robust solutions.
Blend is a premier AI services provider that co-creates meaningful impact for clients through data science, AI, technology, and people. The company fosters a collaborative culture with opportunities for learning and growth across a diverse team.
Work closely with clients to understand their AI goals, present sustainable solutions, and adjust strategies based on feedback.
Guide and mentor engineering teams with AI expertise, setting technical standards and conducting code reviews.
Design and integrate APIs, data pipelines, and infrastructure to enable seamless communication and scalable AI implementations.
Livefront helps companies design and build digital products, working with clients like CVS, Samsung, and General Mills. They are a collaborative team that values respect, mutual trust, and egoless collaboration.
Drive revenue growth by leading technical sales strategies and scaling a global solutions architecture team.
Architect scalable, secure AI solutions for enterprise customers and shape product development.
Establish best practices for agentic AI, model customization, and enterprise deployment.
Cohere is the leading security-first enterprise AI company building cutting-edge foundation AI models and end-to-end products. We are a global technology company co-headquartered in Toronto and San Francisco with a passionate team of researchers, engineers, and designers.
Build and maintain end-to-end deployment pipelines for AI-powered applications, including artifact builds, environment promotion, rollback, and observability hooks.
Stand up and operate the runtime and lifecycle infrastructure for production agents, including deployment, versioning, monitoring, rate-limiting, and retirement.
Design and build the shared developer harness that every AI-powered service uses: prompt management, model routing, retries, tracing, eval hooks, and policy enforcement.
RxSense is a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. As a leader in SaaS technology for healthcare, the company offers innovative solutions with integrated intelligence on a single enterprise platform, connecting the pharmacy ecosystem.
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.
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.
Participate in sales meetings, provide architectural recommendations, and build proof-of-concept solutions for onboarding high-spending customers.
Troubleshoot and resolve complex technical issues using code analysis, scripting, and log analysis.
Create and maintain technical documentation and deliver training sessions, webinars, and demos.
Runpod is the AI Developer Cloud, providing a platform for over one million developers to experiment, train, fine-tune, deploy, and scale AI. We are a small, remote-first team that takes ownership seriously, moves fast, and ships work relied on by more than a million developers daily.
Build multi-agent AI systems and automation platforms for Marketing Operations at scale.
Design and implement LLM integrations, backend services, and agentic workflows.
Partner with cross-functional teams to identify high-impact automation problems and ship measurable solutions.
Grafana Labs is the company behind the open observability cloud, offering a fully managed platform with AI capabilities to help organizations monitor and optimize their systems. With over 1,600 team members across 40+ countries and backed by top investors, we maintain a 100% remote, collaborative culture rooted in open source and innovation.
Leads the development and deployment of Generative AI solutions to improve operational efficiency, revenue, and client experience.
Builds and mentors a high-impact team of Applied AI Engineers, partnering with Product, Engineering, and business stakeholders.
Drives hands-on prototyping and integration of AI solutions including digital/voice agents, RAG-based assistants, and document processing.
National Debt Relief helps consumers manage overwhelming debt through debt settlement, having assisted over 450,000 people settle over $10 billion in debt. They are a certified Great Place to Work® with an A+ BBB rating, offering a team-oriented environment with growth opportunities.