Own end-to-end ML system execution including data pipelines, training workflows, evaluation systems, inference architecture, and deployment.
Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.
Architect scalable inference systems, balance latency, cost, and reliability, and deploy production-grade ML solutions.
Gina's Tech Jobs is a recruiting and staffing company that helps firms hire technical talent. They are a small agency focused on IT roles, fostering a high-trust, collaborative environment.
Define and drive the company's AI research strategy, identifying emerging technologies and translating them into a practical product roadmap.
Lead the development of advanced evaluation frameworks for autonomous AI agents, measuring performance across complex, non-deterministic workflows.
Design, prototype, and deploy innovative AI capabilities, moving rapidly from experimentation to production-ready solutions.
This company is building next-generation AI systems that solve complex real-world cybersecurity challenges at scale. The organization is a rapidly growing, venture-backed technology company with an ambitious engineering team led by experienced leaders from globally recognized technology companies.
Build and evolve the core AI tutoring system with prompt architectures and agentic workflows.
Design and implement scalable software integrating AI with platform systems.
Collaborate cross-functionally with educators and product teams to translate pedagogical goals into technical solutions.
DataCamp empowers everyone with data and AI skills through practical learning experiences. It serves over 17 million learners and 6,000+ companies, including 80% of Fortune 1000, fostering a culture of data-driven decision-making and transparency.
Drive the technical vision for AI in 360Learning's product and coach AI Engineers as the team grows.
Set technical direction, own architectural decisions, and stay close to the code.
Partner with Product Manager, Product Designer, and Full-Stack Developers to deliver AI features.
We enable companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. Founded in 2013, we have raised $240 million with 400+ team members across North America and EMEA.
Design, develop, and deploy production-grade AI-powered backend systems.
Integrate large language models and machine learning models into scalable architectures.
Optimize system performance and implement strong testing practices.
Our partner company is building advanced AI-powered systems to create meaningful customer value. The team operates in a high-autonomy, fast-moving environment focused on production-ready AI solutions.
Lead the design and development of scalable AI solutions, from experimentation to production deployment.
Define AI engineering standards and best practices, influencing architecture decisions across teams.
Collaborate with cross-functional stakeholders to integrate generative AI and LLM capabilities into products.
The company is at the forefront of AI-driven product development, focusing on building scalable and intelligent systems. It fosters a culture of innovation and technical excellence, with a remote team and a commitment to engineering leadership.
Design and develop production-grade LLM applications using Python and FastAPI.
Build and optimize retrieval-augmented generation pipelines with LangChain or similar frameworks.
Implement prompt engineering strategies and evaluate AI systems for accuracy and performance.
Our partner is an innovative engineering team building advanced AI solutions that transform how businesses interact with complex operational data. They offer a fully remote work environment with opportunities to work on cutting-edge technology and collaborate with global teams.
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, deploy, and optimize production-grade machine learning systems for the full ML lifecycle.
Build scalable MLOps platforms, CI/CD workflows, and model serving infrastructure.
Collaborate with engineering teams to improve platform scalability, security, and operational best practices.
They build scalable MLOps infrastructure for enterprise AI solutions. They foster a collaborative, remote-first culture focused on innovation and professional growth.
Design and scale production ML systems for LLM-based applications.
Build training and evaluation pipelines for continuous model improvement.
Fine-tune foundation models using modern adaptation techniques such as LoRA, QLoRA, SFT and DPO.
A1 is a new AI venture building the next generation of AI-native productivity applications, starting with an email agent that uses autonomous AI. Backed by an initial $100M investment, the company is a small, high-talent founding engineering team focused on solving challenging AI infrastructure problems.
Design and iterate complex system prompts and chain-of-thought structures for consumer AI experiences.
Partner with engineers and product managers to optimize prompt specifications for latency and cost.
Develop evaluation frameworks and playbooks to guardrail LLM outputs against bias and hallucination.
BOLD is a global company that creates digital products to help people build resumes, cover letters, and CVs, empowering job seekers in 180 countries. They are an established organization that values diversity and inclusion, with a culture of growth and professional fulfillment.
Build and ship AI features end-to-end, from model to system to user experience.
Design and iterate on prompts, tools, memory, and agent workflows for real-world reliability.
Debug full-stack issues and optimize for latency, cost, and production performance.
A1 builds a proactive smart assistant for everyday users, bringing intelligence to conversations, errands, organizing, and workflows with minimal prompting. The team is small, world-class, and focuses on rapid iteration and shipping high-quality AI products.
Design, develop, and deploy production-ready AI solutions using LLMs and RAG pipelines.
Own the end-to-end lifecycle of AI features from problem definition to monitoring and improvement.
Collaborate closely with software engineers and business stakeholders to embed AI into customer-facing products.
The company is a modern SaaS provider that builds cutting-edge AI solutions. It has a collaborative, diverse, and inclusive international culture with a focus on innovation and continuous learning.
Act as the right hand to the CTO, steering backend and ML teams while remaining hands-on in development.
Translate complex business challenges into scalable technical solutions and lead small teams toward fast execution.
Ensure alignment across engineering, product, and infrastructure in a fast-moving, globally distributed environment.
The company is a technology organization focused on AI product development and engineering. They operate in a globally distributed, fast-paced environment with small, focused teams and a startup mindset.
Design and implement advanced knowledge distillation pipelines, including teacher-student approaches and multi-teacher architectures.
Run large-scale machine learning experiments to optimize model quality, latency, efficiency, and cost trade-offs.
Collaborate with research teams to transform emerging distillation techniques into reliable production-ready implementations.
Our partner is an innovative company focused on advancing the efficiency and scalability of next-generation machine learning systems. They offer a remote-friendly work environment with an async-first culture and a small, senior team combining research expertise and engineering excellence.
Own end-to-end Machine Learning (ML) system execution including data pipelines, training, and deployment.
Fine-tune and adapt models using state-of-the-art methods like LoRA and DPO.
Architect scalable inference systems and collaborate closely with application engineering.
This company develops advanced production-grade machine learning systems. The team is small and high-trust, with a culture of ownership and pragmatism.
Design and build LLM-powered AI components for internal tools and user-facing applications.
Develop systems for data retrieval, embeddings, and intelligent automation workflows.
Collaborate with cross-functional teams on AI use cases and contribute to technical vision.
Jobgether powers job matching using AI to connect candidates with opportunities. They emphasize a remote-first, collaborative culture with high autonomy and flat structure.
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, train, and evaluate machine learning models to support product objectives.
Prepare, clean, and analyze datasets for model training and validation.
Deploy, monitor, and improve machine learning models in production environments.
The partner company develops AI-powered products to solve real-world challenges. They offer a fully remote, flexible work environment with a focus on innovation and collaboration.
Design and deploy agentic AI systems and LLM-based applications with a focus on scalability and reliability.
Build and optimize AI/ML models using Python, including prompt engineering and integration with modern LLM frameworks.
Work with large-scale enterprise data systems and databases such as SAP HANA, DB2, and SQL Server.
The company specializes in developing advanced AI systems and LLM-powered applications for enterprise data transformation. The team is collaborative and innovation-driven, focusing on cutting-edge AI research and engineering.