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.
Design and deploy autonomous AI agents to automate construction and estimation workflows.
Build agentic AI workflows using LLM frameworks such as LangChain, LangGraph, and Claude Code.
Integrate AI applications with cloud platforms and optimize system performance for scalability and reliability.
The company develops AI-driven solutions for construction and estimation workflows. It is a stable and growing organization that values continuous learning and innovation.
Define and evolve the technical architecture for Caseware’s AI platform, establishing scalable and secure AI capabilities.
Design, build, and operate AI systems powered by LLMs, retrieval pipelines, and agentic workflows.
Implement evaluation, governance, and traceability frameworks to ensure AI systems are compliant and continuously improving.
Caseware is a Canadian Fintech company that provides audit and accounting software to over 500,000 users across 130 countries. The company is in a major growth phase with a focus on innovation and collaboration, fostering a culture of independence and trust.
Design and deploy state-of-the-art GenAI solutions including RAG pipelines, LLM orchestration, and AI agents.
Lead high-impact, client-facing engagements and oversee junior consultants.
Work hands-on with Databricks, LangChain, and models like GPT, LLaMA, and Claude.
Lovelytics helps some of the most complex enterprises modernize their data and put AI to work. The company has grown from 85 to 500+ people across the Americas, maintaining a technically excellent, low-ego culture.
Design, build, and deploy production ML and LLM-based systems (RAG, agentic workflows, fine-tuning, embeddings) for enterprise clients.
Own technical delivery end-to-end: from architecture and prototyping to deployment, monitoring, and iteration.
Mentor and support other ML engineers on the team with code reviews, technical guidance, and knowledge sharing.
TensorOps is a boutique AI consultancy that bridges strategy and execution, designing and shipping production-grade AI systems for enterprise clients. We are a 100% remote team of 11+ people, partnering with unicorns and NASDAQ-listed companies, and have a culture of autonomy, open communication, and continuous learning.
Lead a team of AI Ops Engineers to design, ship, and scale multi-agent systems and production-grade automations.
Build RAG pipelines for internal knowledge retrieval and keep the AI tooling stack healthy across 2,500+ employees.
Prioritise competing requests from multiple teams and stay current on emerging AI tools to cut through the hype.
We provide financial inclusion through affordable digital products to underserved communities in Africa, unlocking access to smartphones, credit, and insurance. We are a carbon-negative company with over 2,300 employees across Kenya, Uganda, Nigeria, Ghana, South Africa, the UK, and Europe, recognized by TIME 100 and the Financial Times as one of the world's most influential and Africa's fastest-growing companies.
Develop and integrate ML, NLP, and Generative AI models to create smart collaborative solutions.
Build and optimize agentic workflows using LangChain, LangGraph, and similar frameworks.
Collaborate with engineering and product teams to deliver AI-driven features and prototype tools.
We are a technology company building next-generation AI-powered workplace assistants. Our team values innovation, engineering excellence, and continuous learning in an open and supportive environment.
Architect production-grade multi-agent frameworks and orchestration layers from scratch.
Balance rapid prototyping with long-term sustainable architectural foundations.
Implement rigorous frameworks for benchmarking, prompt engineering, and evaluating agent reliability.
Mozilla Corporation is the non-profit-backed technology company behind Firefox and other privacy-minded products. With over 225 million monthly users, we are a mission-driven organization owned by the Mozilla Foundation, employing thousands of volunteers and collaborators worldwide to build open-source software for a better internet.
Architect, scale, and own the end-to-end AI enablement strategy, building foundational platforms and tooling for safe, rapid AI deployment across product and engineering teams.
Design and maintain core AI orchestration layers, centralized API gateways, and reusable frameworks such as advanced RAG and agentic architectures for company-wide consumption.
Establish LLMOps governance, including guardrails, evaluation frameworks, and monitoring for model performance, bias, data privacy, and security across all AI implementations.
Actian is a data management company focused on innovation in data intelligence platforms. They are a fast-growing company with a diverse and passionate team, offering a collaborative and dynamic work environment.
Design and deliver advanced AI solutions for legal and compliance operations at enterprise scale.
Build end-to-end AI applications using LLMs, RAG, and agentic frameworks with Python and modern orchestration tools.
Partner with legal stakeholders to identify automation opportunities and develop secure, scalable production systems.
Jobgether uses AI-powered matching to connect candidates with hiring companies, streamlining the application process. They operate remotely and focus on efficient, technology-driven recruitment.