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.
Define architecture and technical strategy for highly scalable AI systems.
Lead complex model serving and inference initiatives while optimizing performance and cost.
Mentor senior engineers and influence cross-functional AI strategy and product direction.
The company builds critical infrastructure that powers high-volume, real-time business operations across multiple systems and platforms. It is a fast-growing organization with a collaborative, fast-moving culture where engineers have meaningful influence on architecture and product direction.
Design, build, and maintain production-grade Generative AI, Agentic AI, and machine learning applications.
Develop evaluation and testing approaches to measure model performance and improve solution quality.
Partner with Engineering, Product, Data, and Operations teams to integrate AI capabilities into client’s systems.
We are an end-to-end AI transformation partner guiding enterprises from complex challenges to clear outcomes. We are a convergence of successful firms dedicated to fostering a culture of innovation and professional growth.
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.
Architect and build AI platforms, working across distributed teams to deliver GenAI products like Abacus Agents, MCP, and RAG systems.
Develop ML/AI pipelines for data preprocessing, model training, and evaluation, enabling rapid experimentation and self-healing systems.
Mentor software developers, participate in architectural discussions, and communicate technical direction to align teams and stakeholders.
Abacus Insights transforms healthcare data for health plans to improve outcomes, reduce waste, and enhance member and provider experiences. Backed by $100M from top investors, the company is a collaborative, curiosity-driven team of bold individuals embracing AI and automation to innovate in the healthcare industry.
Build and deploy production AI services including agentic workflows, RAG pipelines, and LLM-integrated applications using Python and commercial foundation models.
Implement data-to-insight pipelines with document ingestion, embeddings, vectorization, and knowledge graphs.
Design secure API interfaces and containerize AI services with Docker and Kubernetes for deployment.
They engineer high technology solutions for defense and scientific missions. With a global team of 12,000+ professionals, they value trust, honesty, and innovation.
Deploy LLMs into production across GPU infrastructure, owning the full pipeline from customer query to served response.
Stand up and operate serving infrastructure using vLLM, SGLang, or TensorRT-LLM.
Apply quantization, batching, caching, and routing to optimize latency and cost at scale.
vCluster Labs is a venture-backed tech startup pioneering Kubernetes virtualization for the AI era, enabling AI Cloud providers and AI factories to operate GPU infrastructure with hyperscaler-like experiences. We raised over $30M from top-tier VCs like Khosla Ventures, are in a hyper-growth phase, and maintain a remote-first, distributed global team with headquarters in San Francisco.
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 Delivery End-to-End: Take ownership of features from design through to production.
Shape AI Agentic Systems: Build intelligent workflows using LLMs and agentic architectures.
We build production-ready AI agentic systems that reshape how financial institutions operate. We are a rapidly growing FinTech backed by major investors, recognized as Fintech of the Year for two consecutive years, with a team of experienced engineers and PhD-level AI specialists.
Lead the end-to-end lifecycle of language models and AI solutions, from research to production.
Navigate between closed and open-source ecosystems to maximize quality, optimize latency/cost, and ensure data governance.
Conduct applied research, experimentation, and data curation to create new AI capabilities and continuously improve existing ones.
Blip is a technology company that develops conversational AI and customer service platforms. The company fosters a culture of innovation and technical excellence, with a team of engineers and researchers working on cutting-edge AI solutions.
Build and maintain MCP servers, tool definitions, and context management capabilities.
Design and implement intent evaluation, classification, and routing workflows.
Integrate Anthropic and OpenAI models into production environments.
Applaudo designs, builds, and scales AI-powered solutions that create real business impact. They foster a high-performance culture grounded in values such as empowerment, collaboration, and transparency.
Own end-to-end delivery quality for major engagements, translating ambiguous client needs into practical execution plans.
Lead solution architecture and technical decision-making, making pragmatic tradeoffs between speed, quality, and client value.
Build and ship production AI/ML systems using Python, ML frameworks, and cloud-native infrastructure while mentoring other engineers.
Eliza is a technology services company and Advanced-tier OpenAI partner that helps organizations build and deploy AI solutions, from generative AI to predictive analytics. They are a collaborative, mission-driven team focused on real-world AI impact.
Design, develop, and deploy production-ready generative AI and machine learning applications.
Collaborate with cross-functional teams to integrate AI capabilities into business systems.
Apply prompt engineering, retrieval-augmented generation, and evaluation strategies to optimize AI performance.
The company is a technology firm specializing in AI transformation initiatives. It fosters a collaborative culture centered on learning, innovation, and professional development.
Build and evolve core AI platform capabilities enabling teams to scale GenAI applications.
Design and implement distributed systems supporting multi-step AI workflows and integrations.
Collaborate across engineering, data science, and product to turn emerging AI use cases into production-ready platform capabilities.
Samsara is the pioneer of the Connected Operations Cloud, providing IoT solutions to improve safety, efficiency, and sustainability for industries like agriculture, construction, and transportation. As a recently public company, it fosters a culture of ownership and high-impact building with a focus on long-term growth.
Taking ML or LLM proof-of-concept to production for large enterprises.
Designing and hardening data and training pipelines for enterprise ML systems.
Building LLM and RAG systems with retrieval quality, evaluation and cost control.
Janea Systems (USA) is a dynamic team of the best & brightest software engineering specialists and solutions innovators from around the world. From kernel to cloud, we provide high-impact software development services to Fortune 500 companies.
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.
Passionate about building AI models from the ground up and deploying them in production
Excited about joining early-stage startups and working directly with founders
Interested in shaping AI strategy and leading the development of AI-powered products
SignalFire partners with top early-stage startups shaping the future of technology. They have a portfolio of over 200 innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS.
Design and develop AI-powered applications and enterprise solutions using Large Language Models.
Build scalable Python backend services and integrate AI with cloud platforms and databases.
Optimize AI model performance and collaborate with multidisciplinary teams.
The company is a partner organization that develops AI-powered solutions for enterprise clients. They have a diverse, international team and foster a culture of innovation and continuous learning.
Design and own LLM-powered agents end-to-end on AWS GenAI platform with LangChain/LangGraph and Bedrock.
Build and operate MCP servers that expose company data and services as structured tools for AI models.
Define testing, reliability, and operational practices for major agent services and mentor across the team.
Mitratech builds world-class products that simplify operations in Legal, Risk, Compliance, and HR functions. They serve 20,000 client companies, including 30% of the Fortune 500, and have a diverse, inclusive culture that supports individual excellence.
Architect and deploy autonomous AI agents and multi-agent workflows for privacy-first systems.
Build scalable backend services using FastAPI and orchestrate agentic workflows with LangGraph in AWS or Azure.
Develop rigorous evaluation pipelines for accuracy, citation adherence, latency, and reliability.
Osano is a leading data privacy platform that helps organizations comply with global privacy regulations like GDPR and CCPA. Backed by top-tier investors and recognized as a Great Place to Work for four years running, the company has a 97% employee satisfaction rate and a mission-driven, fast-growing culture.