Set the technical direction for AI engineering across the team: agent architecture patterns, evaluation methodology, deployment and monitoring strategies
Design the AI platform layer, including shared agent frameworks, tool integrations, and evaluation infrastructure
Work directly with clients on the most complex engagements, identifying new problem domains and ensuring production quality
Develop, configure, deploy, and optimize AI agents using Cresta's AI platform and tools.
Build AI agent integrations with external systems such as APIs, databases, and CRMs to ensure seamless workflow integration.
Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI agent solutions.
Cresta builds a unified AI platform that combines conversational AI agents, real-time human agent augmentation, and conversation intelligence to drive revenue and efficiency for customer experience channels. Born from Stanford AI Lab, the company has raised over $270 million from top investors and is led by AI industry veterans.
Embed with customers to understand workflows, constraints, and success measures, then turn operational problems into technical plans.
Design, build, and deploy AI agents that integrate with customer tools, data, and business processes from prototype to production.
Measure real-world impact, iterate based on evidence, and share reusable patterns across deployments.
DehazeLabs transforms complex enterprise workflows into AI agents that operate in real-world environments. The company is a growing startup focused on applied AI, with a culture that blends engineering, product, and customer delivery.
Work directly with leading AI labs and enterprises to define research goals and technical requirements.
Build data intelligence systems and implement ML pipelines for data curation, model training, and evaluation.
Develop LLM applications, including multi-agent systems, RAG workflows, and evaluation harnesses.
Our client is a venture-backed AI company building intelligent systems by combining human expertise with machine learning. With over $40 million in funding and a global expert network, they provide critical infrastructure for AI development.
Build LLM evaluation systems and diagnose agent performance issues across prompts and tools.
Netomi is an agentic AI platform for enterprise customer experience, enabling automation for global brands. Backed by Y Combinator and Index Ventures, the company drives efficiency and higher quality experiences.
Lead a team of AI engineers, setting technical direction and quality standards while staying hands-on in code.
Own the architecture and end-to-end delivery of AI systems using LLMs, RAG, and agentic patterns.
Drive evaluation, monitoring, and continuous improvement loops to ensure production-grade AI capabilities.
Finom is a European tech startup building an all-in-one financial B2B platform for entrepreneurs, integrating banking, accounting, and invoicing. They are a well-funded company with over $346 million in total funding, maintaining a startup culture that values innovation, swift implementation, and employee impact.
Design and build enterprise-grade agentic AI platforms and LLM-powered applications.
Define reference architectures for RAG pipelines, multi-agent orchestration, and enterprise integrations.
Implement observability, guardrails, and responsible AI practices for production deployment.
Brillio is one of the fastest growing digital technology service providers, partnering with Fortune 1000 companies on digital adoption. It employs world-class professionals known as 'Brillians' and has earned Great Place to Work® certification repeatedly.
Lead the engineering strategy and execution for evaluations of AI agents, owning the core evaluation platform.
Design scalable evaluation infrastructure, APIs, workflows, and production systems across software categories.
Mentor and develop a team of engineers as the technical authority on agentic evaluation.
This company focuses on building credible, scalable evaluations of AI agents from software vendors. It operates as a fully remote, inclusive team with a flexible culture and a focus on professional growth.
Own end-to-end deployment of Tines’ platform within complex enterprise environments, integrating with existing systems and configuring workflows.
Drive adoption across the organization by training and enabling users and stakeholders at every level.
Identify and develop new use cases by surfacing opportunities where Tines can create additional value.
Tines is an intelligent workflow platform that applies AI, automation, and integration to drive real business results. Founded in 2018, the company fosters a culture of simplicity, speed, and soundness, serving customers from startups to public companies.
Work directly with GP clients to identify workflows where custom AI agents create leverage.
Design and build agentic systems including retrieval, tool integration, and orchestration.
Own components from prototype through deployment and production iteration.
Juniper Square provides a unified platform combining technology, data, and fund administration services for private markets. With over 1,000 employees and $350M in funding, they emphasize ownership, urgency, and collaboration.
Develop and deploy cutting-edge AI/ML solutions to enhance the platform and improve student learning experiences.
Design, develop, and optimize LLM-powered agentic systems and APIs for real product use cases.
Collaborate with senior engineers and contribute to evaluation frameworks and MLOps pipelines.
Interview Kickstart specializes in interview preparation and career transitions into high-demand tech fields like AI, ML, and Data Science. Over 17,000 tech professionals have been guided by current and former hiring managers to land coveted positions at companies like Google and Amazon.
Embedded with client teams to solve real business problems and ship working software.
Scope and design technical solutions, building production tools end to end.
Work directly with client stakeholders, translating ambiguous asks into shipped features.
AiStudio is an AI consultancy that embeds engineers directly inside portfolio companies of leading private equity firms to build production AI solutions that move real metrics. The company has a bias toward outcomes and ships code that drives cost savings, automation, and revenue.
Design, build, and improve production agentic AI systems used to solve complex real-world problems.
Develop agent architectures, model integrations, and evaluation frameworks for reliable, production-grade AI.
Build scalable APIs, services, and infrastructure supporting agent execution and AI-powered product experiences.
Air is the leader in Enterprise Readiness, providing an AI-native platform to align development, production, delivery, and sustainment for government agencies and industrial suppliers. The company is a startup with a focus on mission-driven work and innovation.
Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team.
Spearhead strategic technological changes and champion code refactoring efforts to keep the core codebase cutting-edge and performant.
Lead technical story breakdowns, architectural design, and mentor engineers across the department.
Appian provides AI automation for mission-critical work, automating complex processes in large enterprises and governments. With over 25 years of experience, the company is known for its reliability and scale, and fosters an inclusive culture with employee-led affinity groups.
Lead a remote team of engineers in designing and shipping production-grade agentic AI systems for enterprise clients.
Own solution design and system architecture across agents, tools, data, evaluations, and controls.
Personally implement critical components and guide client stakeholders through difficult technical decisions.
EggAI is an enterprise-focused generative AI company that helps large organizations move AI solutions from prototyping to production. Based in Munich, Germany, the company builds safe, reliable, and scalable AI systems for enterprise clients.
Design, develop, and deploy AI solutions that power business products and operations.
Collaborate with product, data science, and engineering teams to build scalable, production-ready AI systems.
Write clean, maintainable code and integrate AI/ML models into backend and frontend applications.
Zone & Co is the ERP-native AI platform for financial operations, purpose-built for organizations running on Oracle NetSuite. They serve more than 4,500 customers worldwide and operate as a high-velocity, fully remote, global team.
Advise enterprise customers on agent architecture and evaluation strategies.
Build and co-build production agents across the full Agent Development Lifecycle.
Embed within customer teams to ship agent systems directly as a deployed engineer.
LangChain makes intelligent agents ubiquitous by providing open-source frameworks and a platform for building, evaluating, and deploying AI agents. With $125M Series B funding and a growing team, we serve 35% of the Fortune 500 with a culture of impact and collaboration.
Design, build, and ship custom AI workflows and agents to power client engagements.
Collaborate with clients from senior executives to frontline teams to understand pain points and assess AI solutions.
Document learnings into playbooks and help evolve the company's offerings and processes.
Melior is an AI transformation firm that helps mid-market companies adopt AI strategically and practically. It is a small, early-stage team led by experienced operators and technologists, fostering a culture of building impactful solutions.
Build and improve core components of the Agent Runtime, including intent routing, RAG, and multi-step agent workflows.
Design and optimize Tool Server / Tool Calling capabilities for agent execution and integration.
Develop evaluation datasets and harnesses to measure agent quality and reliability.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange by trading volume and registered users. With over 320 million users in 100+ countries, Binance offers a dynamic, flat-structured environment focused on innovation and growth.
Design, build, deploy, and monitor LLM-powered document analysis pipelines that serve lawyers daily, meeting defined latency SLAs and accuracy benchmarks.
Architect multi-step, multi-agent systems for complex legal tasks with robust state management, tool calling, and human-in-the-loop checkpoints.
Collaborate with lawyers and product to translate ambiguous legal workflows into structured AI problems and iterate based on user feedback and eval results.
Cleary Gottlieb is a global law firm that provides legal services through 14 offices in major financial centers worldwide. The firm employs approximately 1,100 lawyers from more than 50 countries and operates as a single, integrated global partnership with a culture of intellectual agility and human touch.
Embed with enterprise customers to prototype and ship production-grade AI-native applications and agentic workflows.
Advise engineering leadership on AI-native adoption strategy, tooling selection, and rollout sequencing.
Assess capability gaps and drive adoption of AI-native practices across the whole product engineering organization.
Astra provides an AI-native development platform and consulting services to help enterprises adopt AI-native software engineering. The company culture values AI-first, customer obsession, and continuous learning, with a focus on transforming engineering organizations.