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.
Designing, building, and deploying AI and Generative AI solutions like LLM-powered applications and chatbots.
Developing and optimizing prompt engineering strategies and RAG pipelines using vector databases.
Integrating AI models into cloud-based applications and implementing agent-based workflows.
Software Mind develops solutions that make an impact for companies around the globe, working with tech giants and unicorns on transformative projects. Our culture embraces openness, respect, grit, and guts, combining employment with enjoyment in cross-functional engineering teams.
Design and implement production-ready AI capabilities that improve reasoning, accuracy, and explainability.
Optimize autonomous agent workflows and Retrieval-Augmented Generation pipelines for performance.
Develop evaluation frameworks and benchmark datasets to measure AI effectiveness and drive continuous improvement.
LTS builds an AI-native engineering platform for modernizing mission-critical healthcare systems serving millions of Veterans. The engineering team is intentionally small, giving every engineer meaningful ownership and direct influence over product direction.
Own and drive the quality, reliability, and evolution of AI systems in production across multiple products.
Design and orchestrate agentic AI workflows, tool-based systems, and multi-step LLM chains with clean tool contracts.
Manage production prompt systems, run A/B experiments, and monitor AI system metrics using Langfuse and other observability tools.
Ruby Labs is a leading tech company that creates and operates innovative consumer products across health, education, and entertainment. The company has a fast-growing, ambitious team with a high-performance culture.
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.
Developing complex AI solutions for clients (chatbots, service bots, LLM-based applications)
Developing RAG-based solutions using Python/LangChain or Java/Spring AI
Integrating open source LLMs into client systems in cloud and on-premise environments (using Kubernetes)
Deutsche Telekom IT Solutions, a subsidiary of Deutsche Telekom Group, provides a wide range of IT and telecommunications services. With over 5,300 employees, the company has won awards for best educational cooperation and most ethical multinational company, and continuously develops its locations in Hungary.
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.
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Monitor shadowbot runs and run prompt versions against gold data to measure autorater quality and accuracy metrics.
Manually draft, test, and refine prompts to navigate complex template architectures and handle edge cases.
Welo Data provides AI services specializing in data validation and LLM evaluation. They operate as a freelance-focused organization with a remote workforce, emphasizing technical agility and quality assurance.
Design and build advanced AI-powered systems including autonomous agents and generative AI capabilities.
Lead architecture and implementation of intelligent systems that improve digital learning experiences.
Collaborate with cross-functional teams to bring AI solutions from concept to production.
The company builds AI-powered digital learning platforms that transform educational experiences. They serve millions of learners and educators with a focus on responsible AI and inclusive culture.
Design and test multi-turn, state-aware conversational systems using LLM reasoning loops and multi-agent orchestration frameworks.
Innovate by adapting new frameworks and recent advances in generative and agentic AI.
Promote best practices in AI/ML and mentor junior team members.
EcoVadis is the leading provider of business sustainability ratings, analyzing data and building sustainability scorecards that give companies actionable insights into environmental, social, and ethical risks. Their AI Center of Excellence includes over 20 scientists and engineers, fostering a culture of innovation and impact.
Design, develop, and maintain AI and LLM-powered applications using Azure cloud technologies.
Integrate AI capabilities with internal systems and data sources.
Collaborate with cross-functional teams to translate business requirements into technical solutions.
ISACA champions the global workforce advancing trust in technology. With 195,000+ members and 230 chapters globally, it provides credentials and training for IT professionals.
Build scalable Python services and AI platform components deployed in cloud environments.
Our partner is a technology company developing advanced agentic AI platforms for enterprise automation. They foster an inclusive, remote-friendly culture with a focus on innovation and collaboration.
You will build AI-assisted tools, workflow automations, agents, prompts, and integrations to reduce manual effort and improve productivity.
You will partner with business stakeholders to understand high-friction workflows and deliver fit-for-purpose AI solutions.
You will implement engineering controls for data handling, access management, prompt safety, and output validation.
Shield AI is a venture-backed defense-tech company that develops intelligent systems, including Hivemind autonomy software and V-BAT and X-BAT aircraft, to protect service members and civilians. With offices across the U.S., Europe, the Middle East, and Asia-Pacific, the company's technology supports operations worldwide.
Lead AI validation strategies for LLMs, RAG systems, and AI agent workflows.
Build automated validation pipelines and evaluation frameworks for AI output quality.
Establish production monitoring, AI guardrails, and quality metrics for AI products.
Jobgether is an AI-powered recruitment platform connecting candidates with hiring companies. It has a collaborative, remote-first culture and uses AI to streamline hiring.
Design and build the AI execution platform with event-triggered workflows and model-agnostic runtimes.
Develop evaluation layers with golden test suites and safety checks to ensure AI reliability.
Implement governance mechanisms and build AI agents supporting business workflows.
Jobgether is a platform that connects talent with opportunities using AI-powered matching. The company has a globally distributed team and a remote-first culture.
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.
Scope, design, and deliver applied AI solutions including LLM workflows, RAG systems, and agentic automation.
Work directly with clients through discovery, solution design, demos, and delivery, translating business problems into production AI.
Define patterns and specifications for the prompt-development pod and guide their production builds.
We are Caravel BPM Technology Solutions, a technology solutions firm that provides advisory and AI services. We are a subsidiary of BPM LLP, a top 50 accounting and consulting firm with 17 offices, and we foster a collaborative and supportive work environment.
Design and deliver production-ready AI solutions including machine learning, generative AI, and LLM applications.
Translate complex business needs into scalable technical architectures and implementation plans.
Guide clients and cross-functional teams through discovery, architecture, and adoption of AI systems.
This company partners with organizations to deliver AI and data transformation solutions. It fosters a collaborative, remote-first culture focused on innovation, inclusivity, and meaningful impact.
Design and maintain LLM-powered backend services using Python and FastAPI.
Implement retrieval-augmented generation (RAG) for structured and unstructured fleet data.
Optimize retrieval accuracy, latency, and hallucination rates through automated evaluation pipelines.
Datakrew revolutionizes EV fleet intelligence with IoT and AI solutions. They aim to serve one million EVs within 5 years and cultivate a mission-driven culture.
Evaluate AI quality across the advisor stack, including pre-call briefs, in-call guidance, and post-call outputs.
Iterate inside ORA by refining prompts, updating knowledge base entries, and tweaking skills to close the loop on issues.
Surface trends and drive continuous improvement by tagging conversations, logging issues, and recommending prioritized improvements.
HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership.