Orchestrate technical delivery as the primary post-sale point of contact, coordinating with Solutions Architects, Engineers, and Support.
Drive adoption value by guiding customers through implementation to achieve business goals using Vector Search.
Manage technical health, stakeholder alignment, and serve as escalation manager for critical issues.
Qdrant is an open-source vector search engine powering next-generation AI applications, trusted by global leaders like Canva, HubSpot, and Tripadvisor. Recently raising $50M in Series B funding, we are a remote-first, rapidly growing company with a diverse team committed to shaping the future of AI.
Take ownership of the full software development lifecycle, including designing, developing, testing, and maintaining software solutions.
Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to develop scalable and high-performance systems.
Partner with clients and internal stakeholders to understand their needs and design solutions that optimize workflows and address complex technical challenges.
Boosted.ai builds AI for finance to optimize investing and boost productivity. They are a rapidly scaling company trusted by enterprises with over $5 trillion under management, backed by top investors, and have a collaborative, low-ego culture.
Design and build core architecture for AI systems spanning multiple product areas, ensuring coherence and reuse.
Set the technical bar for the org in evaluation frameworks, testing philosophy, CI/CD for model behavior, and shared infrastructure.
Take direct ownership of the hardest, most ambiguous technical problems and build solutions end-to-end.
Twin Health empowers people to prevent and reverse chronic metabolic diseases using AI Digital Twin technology. The company is rapidly scaling across the U.S. and globally with over $100 million raised, and has been recognized as an innovator and top workplace.
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.
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.
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 evolve per-tenant knowledge graph schemas for sales execution domains.
Architect NLP pipelines to extract structured knowledge from unstructured conversational and document data.
Design reasoning and inference layers over the knowledge graph to power next-best-action recommendations and deal risk scoring.
Outreach is the only complete agentic AI platform for revenue teams, founded in 2014. The company works with world leading enterprises like Databricks, SAP, and Siemens, and promotes a diverse and inclusive culture with multiple employee resource groups.
Design, build, and operate AI systems that solve real business problems across Finom, from prototype to production.
Own AI systems end-to-end including problem framing, architecture, implementation, evaluation, deployment, monitoring, and iteration.
Partner with solution managers, domain teams, and engineers to integrate AI into real workflows and deliver production-grade AI capabilities.
Finom is a European tech startup developing an all-in-one financial B2B solution integrating banking, accounting, and invoicing. With over $346 million in total funding, they are expanding across key EU markets and maintain a start-up culture focused on innovation and employee empowerment.
Lead the ML strategy for Workforce Management, delivering production systems for forecasting, routing, and optimisation.
Coach and develop a growing team of Machine Learning Scientists embedded in product squads.
Work cross-functionally with Product, Engineering, Data, and Operations leaders to solve ambiguous operational problems.
Monzo is a digital bank on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and pension consolidation. With over 10 years of growth in the UK and a focus on financial education and award-winning customer service, Monzo has a vibrant culture and a strong commitment to diversity and inclusion.
Lead, manage, and grow a distributed engineering team dedicated to AI platform development.
Own the technical strategy and roadmap for Cohere's AI platforms, applications, and agents.
Design data and semantic architectures to provide AI agents with accurate healthcare data.
Cohere Health's clinical intelligence platform uses agentic AI to optimize care for health plans and providers, covering over 15 million people. The company has been recognized as a top LinkedIn startup and is backed by leading investors.