Design, build, and deploy AI Agents including custom tools, prompt engineering, orchestration workflows, and agent design patterns.
Contribute to the backend infrastructure powering Candidly's AI capabilities, including API development, data integrations, and data pipelines.
Work closely with stakeholders across product, design, engineering, and leadership to translate complex AI concepts into actionable strategies and features.
Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
Improve reliability, performance, and safety across existing Python codebases
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
Build resilient AI Agents using LangGraph and microservices. Develop complex automation workflows in n8n. Collaborate with Internal Business Analysts to focus on coding, not guessing requirements.
At Gcore, you’ll help design and deliver that foundation for an AI-driven world, being a global provider of infrastructure and software solutions for AI, cloud, network, and security.
Design and deliver AI-powered advisors, assistants, and analytic agents.
Build and maintain high-quality, production-ready Python services.
Apply, adapt, and fine-tune foundation models to deliver reliable AI experiences.
Energage helps organizations turn employee feedback into useful business intelligence and credible employer recognition through Top Workplaces. Built on culture research and the results from 23 million employees surveyed across more than 70,000 organizations, Energage delivers the most accurate competitive benchmark available.
Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
Improve reliability, performance, and safety across existing Python codebases
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
Lead domain-specific model optimization using PEFT (LoRA/QLoRA) and knowledge distillation to balance cost, latency, and reasoning capability.
Build next-gen Retrieval-Augmented Generation pipelines using hybrid search, cross-encoders, and self-correcting retrieval loops.
Design and deploy multi-agent systems using frameworks like LangGraph or CrewAI, enabling autonomous task planning and tool-use (Function Calling).
ServiceNow is a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Their intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.
Design, develop, and deploy agentic AI solutions for clients.
Build multi-agent systems and integrate models with enterprise systems.
Collaborate with clients and engineers to create scalable solutions.
AHEAD builds platforms for digital business, weaving together advances in cloud infrastructure, automation, analytics, and software delivery to help enterprises deliver on digital transformation. They prioritize creating a culture of belonging where all perspectives are valued and heard.
Designing, developing, and deploying generative AI models.
Architecting and building agentic systems with autonomous decision-making capabilities.
Integrating generative AI and agentic solutions into existing products and services.
Jobgether is a partner company that focuses on connecting talent with the right job opportunities. Their AI-powered matching process ensures applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions.
Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability for both individual and coordinated agent operations.
Leverage orchestration frameworks like LangGraph and others to build complex workflows and pipelines that support diverse agent functionalities, including frameworks for multi-agent coordination.
ClickUp is building the future of work by creating a converged AI workspace that unifies tasks, docs, chat, calendar, and enterprise search. Their AI-powered platform helps teams break free from silos and unlock new levels of productivity.
Design and deliver scalable AI systems that connect models, data, and products.
Turn research prototypes into secure, reliable, production-ready services.
Build pipelines and serving layers that power adaptive, real-time features.
KnowBe4 is a cybersecurity company that puts security first, offering an AI-driven Human Risk Management platform. They empower over 70,000 organizations worldwide to strengthen their security culture and transform their workforce into their strongest security asset.
Lead development of cloud-based Python applications that integrate AI/ML capabilities.
Collaborate with data scientists to turn models into robust, scalable APIs and user-facing tools.
Design and implement application features that enable care teams to engage members more effectively using AI-driven insights.
Mindoula is a next-generation behavioral health company improving outcomes for populations with complex behavioral, medical, and social challenges. They are building the future of behavioral health through technology, data science, and high-impact care delivery, fostering a positive and innovative culture.
Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows.
Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control.
Improve reliability, performance, and safety across existing Python codebases.
Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.
Design, develop, and maintain backend systems in Python, integrating AI-driven functionalities and APIs
Implement prompt engineering, Retrieval-Augmented Generation (RAGs), and basic generative AI solutions into platform workflows
Collaborate on AI model deployment, fine-tuning, and production integration
Impiricus is the first and only AI-powered HCP Engagement Engine created to cut through the noise and put physician care delivery at the forefront. The company is committed to providing life science companies with AI technology needed to deliver evidence-based resources into the hands of HCPs.
Design, develop, and test AI agents to support business objectives and improve operational outcomes.
Integrate agents with enterprise data sources, APIs, and workflows to ensure seamless functionality.
Translate evolving AI capabilities into actionable business and sales use cases.
Highstreet is developing next-generation agentic AI solutions that empower public sector and education (SLED) clients to achieve real-world business outcomes. The company seems to have a modern, flexible workplace culture built for collaboration and growth.
Design and implement interfaces across the platform for compute orchestration and RL training.
Translate complex backend systems into intuitive, production-ready product experiences.
Build for technical audiences, including AI and general software engineers.
Prime Intellect makes frontier AI accessible to everyone and enables individuals/organizations to train models using their agentic training infrastructure.
Design, optimize, and version prompts for production voice and chat LLM applications.
Architect and orchestrate multi-agent systems for complex conversations.
Build automated testing and validation frameworks for LLM outputs.
Tuotempo transforms healthcare experiences through intelligent digital solutions and is a trusted patient engagement platform powering some of Europe and Latin America's leading healthcare institutions. They have a remote-first culture with vibrant hubs in Bologna or Barcelona.
Design and implement comprehensive evaluation frameworks that reflect real-world task success for agentic systems, with a focus on human+AI collaboration outcomes
Build benchmarking pipelines that capture nuanced success indicators including trust calibration, intervention frequency, and agent handoff quality
Collaborate with researchers, engineers, and product teams to align evaluation methodologies with business and user goals
Upwork is the world’s human and AI-powered work marketplace that connects businesses with highly skilled, AI-enabled independent talent from across the globe. From entrepreneurs to Fortune 100 enterprises, companies rely on Upwork’s trusted platform to find and hire expert talent. They have facilitated more than $25 billion in economic opportunity for talent around the world and their culture is built on trust, risk-taking, customer focus, and excellence.
You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates.
You will work with product, and engineering teams and build models/services that can ingest data, extract key information and surface insights.
You can build tooling to support model training, evaluation, inference serving, monitoring and alerting.
Vanilla is an AI-powered estate advisory platform, built by advisors, planners, and attorneys to transform how wealth is transferred across generations. Our team is distributed across the U.S., with a mix of fully remote and hybrid roles, and embraces flexibility while staying closely connected.
Partner with stakeholders to identify and prioritize opportunities for AI and automation.
Design, develop, and deploy AI and automation systems that drive measurable business impact.
Build and maintain scalable infrastructure, including front-end interfaces and back-end services.
Jobgether uses an AI-powered matching process. They ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Design, develop, and deploy AI-driven applications and services.
Build and integrate LLM-based solutions using frameworks such as LangChain.
Collaborate with product managers, designers, and data teams to translate business requirements into technical AI solutions.
CI&T are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment.