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.
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.
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.
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.
Design, prototype, and deliver AI and agentic solutions for internal and client-facing use cases.
Apply data science, machine learning, and generative AI techniques to solve complex business problems.
Partner with product, engineering, and delivery teams to translate requirements into scalable solution designs.
Netomi is the leading agentic AI platform for enterprise customer experience, working with global brands like Delta Airlines and MetLife. Backed by top investors, the company helps enterprises drive efficiency and deliver higher quality customer experiences.
Design and deploy AI-driven applications, RAG pipelines, and agentic systems for real-world enterprise use.
Build semantic search and vector-based retrieval layers using LangChain, LlamaIndex, and embedding models.
Process large-scale datasets with Python, PySpark, and SQL, and design scalable data warehouse architectures.
They build next-generation intelligent, agentic AI systems that can reason, retrieve information, and execute complex workflows. They focus on innovation, remote work, and employee growth, offering a collaborative and inclusive environment.
Develop, optimize, and maintain production-grade systems supporting agentic search and AI-powered retrieval.
Own and improve search relevance and retrieval components for systems serving real users.
Collaborate with AI research teams to measure model improvements and translate research into production capabilities.
The company is a technology firm building next-generation agentic search and AI-powered retrieval systems. It offers a remote, asynchronous work environment with a focus on engineering excellence and collaboration with AI research teams.
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, 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.
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 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.
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.
Develop scripts and tools to improve processes like onboarding, transactions, and reporting.
Integrate AI and LLMs using generative AI for tasks like document handling and decision support.
Design agent-based automations using frameworks like LangChain or CrewAI to perform multi-step tasks independently.
Experian is a global data and technology company powering opportunities for people and businesses worldwide. We have an amazing team of 25,200 people across 32 countries, with a people-first and inclusive culture.
Design and implement scalable agentic solutions for diverse use cases.
Build and maintain a centralized AI platform with unified APIs for cross-functional team access.
Lead technical discussions, mentor junior engineers, and set the technical vision for the AI platform roadmap.
Cotiviti is a healthcare data analytics company that provides payment accuracy and quality improvement solutions. The company has a large global workforce and emphasizes a collaborative, innovative culture.
Design, develop, and deploy autonomous and multi-agent AI systems for reasoning, planning, and human-in-the-loop collaboration.
Engineer enterprise RAG pipelines with embeddings, hybrid retrieval, and prompt orchestration for explainable responses.
Build scalable backend services and APIs for enterprise AI workloads with security, reliability, and observability.
LTS builds an AI-native engineering platform to modernize legacy software systems, particularly for healthcare serving millions of Veterans. The engineering team is intentionally small, with every engineer having meaningful ownership and significant technical influence.
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.
Architect and build end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud.
Develop advanced RAG pipelines and Semantic Search systems for production-level accuracy.
Optimize LLM and Embedding fine-tuning while applying MLOps best practices for scalability.
Egen is a fast-growing and entrepreneurial company with a data-first mindset, using advanced technology platforms like Google Cloud and Salesforce to drive client impact through data and insights. We are dedicated to learning and innovation, with a culture that values engineering expertise and solving tough problems.
Design, develop, and deploy AI agents and automation workflows powered by LLMs.
Integrate AI capabilities with enterprise platforms like CRM, ERP, and databases on Google Cloud Platform.
Build CI/CD pipelines, monitoring, and observability to ensure production scalability and reliability.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies using automated evaluation processes. They foster an inclusive culture and support professional growth in a collaborative environment.
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.