Build modular, plug-and-play AI agents that integrate into a broader agentic architecture.
Design and implement memory capabilities, including short-term and long-term memory, summarization, and retrieval-backed context.
Own quality through testing, evaluations, monitoring, and observability.
They build AI-powered applications to transform proposal workflows in the architecture, engineering, and construction industry. They operate in a fast-moving, remote environment with a focus on experimentation and continuous learning.
Design and deploy autonomous agentic AI workflows and multi-agent systems for production.
Architect and optimize advanced RAG pipelines using hybrid search and semantic routing.
Implement enterprise safety controls and HIPAA-compliant AI pipelines.
AspenView Technology Partners specializes in creating high-performing nearshore IT teams to help North American clients innovate faster and more efficiently. They are an equal opportunity employer that values diversity and inclusion.
Architect and build an enterprise-grade Agentic AI orchestration platform from the ground up.
Design scalable AI systems combining large language models, RAG, multi-agent workflows, and reusable components.
Provide technical leadership in architecture decisions, ensuring scalability, security, and reliability.
The company is building an enterprise-grade Agentic AI orchestration platform. It is a remote, international technology-focused environment with opportunities to solve complex AI/ML engineering challenges.
Build and deploy production-ready LLM, RAG, and agentic AI systems.
Design and implement document intelligence pipelines and AI-powered workflows.
Develop robust backend services and APIs using modern AI frameworks and cloud platforms.
The company is a technology partner focused on building generative AI solutions for practical business challenges. They value speed, technical ownership, experimentation, and independent operation, with a flexible freelance-oriented culture.
Design and build production-grade AI agents and LLM-powered systems.
Develop multimodal data ingestion and structured information extraction pipelines for unstructured data.
Own AI solutions end-to-end from requirements to deployment and optimization.
Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies. They have a remote-first culture with values centered on data nerdiness, teamwork, ownership, and positivity.
Architect, build, and operate production-grade agentic AI systems for enterprise identity security.
Design multi-agent systems with orchestration, tool use, and planning loops that operate reliably in production.
Lead technical decisions on agentic architecture, model integration, and retrieval-augmented generation pipelines.
Veza is a pioneer in identity security, providing an Access Graph platform that maps identity ecosystems across SaaS, cloud, on-prem, and custom applications. With over 30 billion access permissions under management and now part of ServiceNow, Veza serves global enterprises like Blackstone and Expedia.
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.
Architect and implement multi-agent systems using Google ADK for production-ready AI workflows.
Integrate custom tools and APIs, including MCP, to build deterministic graph-based agentic logic.
Deploy and scale optimized agents on Agent Engine (GCP) while ensuring high availability and low latency.
TTEC Digital coaches clients to ensure their employees feel valued, supporting an employee-first approach to customer experience. With 1,800+ employees, the company has been certified as a Great Place To Work and values diversity and inclusion.
Lead the delivery of AI projects end-to-end, establishing technical standards and mentoring a high-performing team.
Guide the design and delivery of RAG systems, agentic frameworks, and LLM-powered solutions for production.
Develop evaluation frameworks and quality standards to ensure reliable AI system performance.
Blend is a premier AI services provider that co-creates impactful solutions using data science, AI, and technology. The company fosters a culture of innovation and collaboration, with a focus on aligning human expertise with artificial intelligence.
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.
Design, build, and deploy production-ready Generative AI and Agentic AI applications using Azure AI Foundry.
Develop agentic workflows and optimize RAG architectures with knowledge graphs and vector search.
Collaborrate with cross-functional teams to translate use cases into scalable AI solutions.
Blend is a premier AI services provider that co-creates meaningful impact for clients through data science, AI, technology, and people. The company fosters a culture of innovation and flexibility, with a focus on employee development and growth.
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.
Design and build reusable agentic infrastructure, including memory, context management, tool-calling, orchestration, and feedback loops.
Establish evaluation and observability frameworks to understand agent performance and ensure reliable production systems.
Drive operational automation by bridging complex workflows with engineering and influencing architectural patterns.
Dwelly builds an AI operating system for residential lettings, automating workflows for landlords and tenants. Managing over 15,000 properties and $470M GMV, it's a fast-growing, product-focused team backed by $263M.
Design, build, harden, and deploy end-to-end agentic solutions from scoping to production code.
Own the AI automation roadmap, prioritizing high-leverage opportunities within operations.
Lead a pod of 2-4 engineers as a player-coach, staying hands-on while managing the team.
Parachute Health is the leading digital ordering platform for medical equipment and supplies, connecting clinicians, suppliers, and health plans to deliver home medical equipment to patients. With 300,000+ clinicians and 3,000+ supplier locations, the company is remote-first with a focus on patient care.
Lead rapid prototyping and technical validation of agentic AI solutions and autonomous workflows.
Evaluate foundation models, agent frameworks, and orchestration technologies for enterprise adoption.
Mentor AI engineers and promote strong engineering practices across teams.
This partner company is hiring for a senior technical leadership role focused on shaping next-generation AI agents and autonomous workflows. They are a collaborative enterprise with a culture centered on experimentation, continuous learning, and innovation, offering a remote opportunity in the US.
Build the agent execution runtime: Design and ship the layer that compiles a brief into a running team of agents.
Design the tool surface agents work through: Replace "here is a shell, please be careful" with typed, versioned toolpacks.
Make quality measurable, then improve it: Build the evals, benchmarks, and metric sets that score a run.
Ditto is redefining how data moves at the edge by providing a peer-to-peer sync engine for developers to build resilient, real-time applications without internet. With over $145 million in funding and trusted by organizations like Chick-fil-A and Delta Airlines, we are a globally distributed startup committed to building a diverse and inclusive team.
Lead end-to-end delivery of AI projects with clear governance and stakeholder communication.
Build and mentor a high-performing AI engineering team, setting technical standards.
Design and deploy production-ready AI systems using RAG, LLMs, and MLOps practices.
Blend is a premier AI services provider that co-creates impactful solutions for clients through data science, AI, technology, and people. The company fosters a culture of innovation and collaboration, focusing on meaningful projects and career growth for its team.
You will work directly within client environments, translating real operational needs into production-ready AI systems rather than proof-of-concept solutions.
The role spans technical discovery, architecture, software development, deployment, optimization, and ongoing delivery ownership.
You will design and build RAG systems, agentic AI workflows, backend services, and cloud-native architectures that operate at enterprise scale.
Jobgether uses an AI-powered matching process to connect candidates with roles at partner companies. They operate remotely and focus on efficient, fair hiring through automated shortlisting, with a commitment to data privacy and human oversight in final decisions.