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.
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, 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.
Own AI features end-to-end, from agentic workflows and RAG pipelines to production infrastructure.
Build evaluation frameworks and experimentation loops to turn models into reliable, production-grade systems.
Partner with product and domain experts to push the frontier of AI capabilities inside an ERP.
DualEntry builds an AI-native ERP that automates manual data entry for accounting teams, serving companies from $5M ARR to NYSE-listed firms. It is a small, fast-growing startup with a culture of urgency and ownership, backed by top venture capital firms.
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, 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.
Design and implement full-stack AI applications, from UI to API to orchestration logic.
Rapidly build and deploy functional prototypes to drive immediate client value.
Own technical delivery of custom solutions, integrations, and workflow automation end-to-end.
They are a privately held, enterprise-focused AI solutions firm with a team of 20+ engineers. They build and deploy AI agents across healthcare, manufacturing, private equity, and e-commerce, covering chatbots, voice agents, workflow automation, and RAG-based knowledge management.
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.
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, 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.
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, 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 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.
Lead the architecture strategy for generative and agentic AI platforms, transforming complex business challenges into scalable solutions.
Collaborate with engineering teams, executives, and enterprise clients to define secure, production-ready architectures.
Influence AI adoption strategies, establish best practices, and shape the future of AI-powered solutions.
The company designs and delivers enterprise-grade AI solutions built on advanced cloud technologies. It offers a remote-first culture with a focus on innovation and collaboration among talented engineers.
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.
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.
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.
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 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.