Drive the technical architecture across the domain, with a focus on modernization, scalability and AI integration.
Lead the design and implementation of microservices and cloud-native systems.
Integrate LLMs and other GenAI models into web applications through efficient API design and implementation.
InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe’s leading OOH e-commerce enablement platforms. Founded in 1999 by Rafał Brzoska, InPost provides delivery services through our network of almost 60,000 Automated Parcel Machines (APMs).
Own model serving: Design, build, and maintain low-latency, highly-available serving stacks for in-house ML model serving and integrating with LLM serving partners.
Automate training pipelines: Orchestrate data prep, training, evaluation, and registry workflows on Kubernetes with solid MLOps practices.
Optimize at scale: Profile and tune throughput, memory, and cost; introduce caching, sharding, batching, and GPU/CPU autoscaling where it pays off.
Cresta aims to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Their platform combines AI and human intelligence to help contact centers discover customer insights and automate conversations.
Help build, implement, and deploy agentic platforms within client environments.
Focus on building and deploying scalable AI-driven solutions.
Work closely with client stakeholders, technical leaders, and delivery teams to build and roll out agentic capabilities.
Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. With a team of 500 experts in 20+ countries, they are trusted by leading enterprises including Lululemon, Puma, and Starbucks.
Co-create the technical architecture, design patterns, and best practices for the AI Application Modernization Factory.
Act as a hands-on Principal Engineer, making significant code contributions, performing complex code reviews, and serving as the highest technical escalation point for engineering challenges.
Drive the technical strategy for modernizing legacy applications to a cloud-native, microservices, or serverless architecture across major cloud providers (AWS, Azure, GCP).
Banyan Software provides a permanent home for successful enterprise software companies, their employees, and customers. They acquire, build, and grow enterprise software businesses with dominant positions in niche vertical markets and were named the #1 fastest-growing private software company in the US on the Inc. 5000.
Design and implement production-scale AI agent systems and orchestration frameworks.
Deploy and optimize LLMs/SLMs in production with fine-tuning techniques.
Build data pipelines for training data curation, synthetic generation, and PII masking.
FourKites is the leader in AI-driven supply chain transformation for global enterprises and a pioneer of advanced real-time visibility. They turn supply chain data into automated action helping 1,600+ global brands prevent disruptions. They provide competitive compensation with stock options, outstanding benefits and a collaborative culture for all employees around the globe.
Define and drive multi-year technical strategy for the Claude API.
Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams.
Serve as the primary technical decision-maker for major architectural decisions with org-wide scope.
Anthropic's mission is to create reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. Their quickly growing team is composed of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Define and evolve the technical vision for AI and agentic systems across products.
Design orchestration, data, and serving patterns that handle global scale with reliability.
Collaborate with AI Research to turn prototypes into extensible, governed production frameworks.
KnowBe4 is a cybersecurity company that puts security first, empowering over 70,000 organizations worldwide to strengthen their security culture. They value radical transparency, extreme ownership, and continuous professional development in a welcoming workplace that encourages all employees to be themselves.
Lead the architecture and evolution of Cresta’s AI Agent integration framework across CCaaS platforms.
Design scalable, extensible backend systems that manage real-time conversation state, session lifecycle, and context propagation.
Establish architectural patterns for AI-to-human handoff that ensure durability, reliability, and seamless customer experience.
Cresta aims to transform customer conversations into a competitive edge. They achieve this by leveraging AI and human intelligence to enhance contact centers, automate processes, and empower team members.
Build the technical roadmap given a business requirement and own the delivery of the same.
Develop and optimize LLM-based solutions : Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
Codebase ownership : Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
Turing, based in San Francisco, is a research accelerator for frontier AI labs, partnering with global enterprises to deploy advanced AI systems. They accelerate research with data, talent, and training pipelines and build proprietary intelligence systems, recognized among the world's top innovators.
ServiceNow, founded in 2004, is a global market leader that brings 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.
Design and deploy high-performance agentic systems that leverage Fastino’s optimized model architectures.
Collaborate with engineering teams to turn novel architectural breakthroughs into scalable solutions for enterprise customers.
Drive rapid, iterative prototyping of AI functionalities, refining model performance and task-accuracy based on real-world telemetry.
Fastino is building the next generation of LLMs with a team of alumni from Google Research, Apple, Stanford, and Cambridge and has developed the GLiNER family of open source models. Fastino has raised $25M through seed round and is backed by leading investors including Microsoft, Khosla Ventures, and Insight Partners.
Osano is an innovative B-Corporation focused on giving modern enterprises the ability to innovate quickly and earn customer trust by respecting data privacy and complying with consent guidelines. We are scaling fast with a multi-year runway and ambitious growth plans.
Co-create evaluation frameworks, proctoring solutions, and critical security mechanisms.
Evaluate and implement state-of-the-art AI/ML techniques.
Design, build, and deploy scalable AI services and pipelines.
The company develops and scales a global Certification-as-a-Service platform that automates the entire lifecycle of professional exams. The solution enables companies and organizations to quickly and inexpensively create and administer official online exams/certifications.
Building and operating agentic systems that power GenAI applications.
Supporting component design, development and maintenance.
Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. They create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. Nearform has a team of 500 experts in 20+ countries and is trusted by leading enterprises.
Designing and developing the core platform that enables the efficient deployment, scaling, and management of LLMs and multi-agent systems.
Building specialized infrastructure to support long-running agentic workflows, including state management, tool-calling interfaces, and complex reasoning loops.
Scaling inference for LLMs to handle global demand while optimizing for latency, throughput, and cost.
Clarity AI is a global tech company founded in 2017 with a unique mission: bringing societal impact to markets. They leverage AI and machine learning technologies to provide top international investors, governments, companies, and consumers with the right data, methodologies, and tools to make more informed decisions. They are now a team of more than 300 highly passionate and curious individuals from all over the world.
Work with customers to develop requirements and scope for new AI/ML projects.
Develop computer vision and machine learning based solutions for inspection platforms.
Analyze large datasets to extract meaningful insights and drive business decisions.
Loram provides advanced insights into inspection data collected for customers worldwide. The company has a small, collaborative team managing the entire project lifecycle, offering employees an outsized impact on inspections and maintenance recommendations.
Contribute to the development of the Everywhere Inference platform, a Kubernetes-based solution.
Design and implement APIs and developer tools to simplify deployment, management, and monitoring of AI applications.
Optimize serverless container workflows for AI workloads, ensuring performance, scalability, and seamless autoscaling.
Gcore provides infrastructure and software solutions for AI, cloud, network, and security. They have 550+ professionals globally and collaborate with technology partners such as Intel, NVIDIA, Dell, and Equinix.
You will design, build, and operate core systems that enable autonomous agents to function reliably in production.
You’ll build production-grade agentic workflows, retrieval and memory systems, multi-model execution, and tool-calling integrations that interact safely with enterprise systems.
You’ll explore new approaches, prototype quickly, and turn what works into durable production systems.
Kindo is an agent automation platform for DevOps and SecOps teams. They help organizations automate high-friction operational work using autonomous agents. Kindo is a small, highly technical team with strong customer traction and real enterprise revenue.
Architect and evolve internet-scale systems with performance, reliability, and scalability.
Lead the technical direction for Ruby on Rails and React applications across the platform.
Design clean, extensible APIs and modern front-end architectures that deliver fast, intuitive user experiences.
OfficeSpace is the AI workplace management platform that helps teams plan, connect, and perform in the modern workplace. They are a performance-based, PE-backed company, that hires based on merit and a willingness to do what it takes to succeed long-term.
Design and implement infrastructure to support LLM-based autonomous agents capable of multi-step reasoning, planning, and task execution.
Architect and maintain cloud-native platforms that support end-to-end AI workflows, from model experimentation to high-availability production deployment.
Implement security controls against prompt injection and ensure PII/PHI de-identification within agentic data flows.
Lirio is a technology/software company that provides expertise in a variety of behavioral science domains, data science, and machine learning to drive consumer engagement, close gaps in preventive and chronic care, and promote health and well-being. They are using a behavior change AI platform to deliver Precision Nudging health interventions.