Build, implement, and deploy agentic platforms within client environments, focusing on scalable AI-driven solutions.
Design and build agentic platforms using Python and modern AI frameworks like LangGraph, CrewAI, and AutoGen.
Integrate agentic platforms with client systems, including APIs, data platforms, cloud services, and enterprise applications.
Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. Today, our team of 500 experts in 20+ countries is trusted by leading enterprises, including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.
Contribute to the design and evolution of Expression's Agentic AI platform, defining scalable architectures for enterprise AI applications and services.
Architect, deliver, and optimize production-grade LLM services, agent workflows, orchestration layers, and retrieval pipelines.
Provide technical leadership and mentorship, guide architecture reviews, and raise the bar for engineering quality across the team.
Expression provides data fusion, analytics, software engineering, and spectrum management solutions to the US DoD and national security community. Founded in 1997 and headquartered in Washington DC, they have a "Perpetual Innovation" culture and were ranked #1 on Washington Technology's Fast 50 in 2018.
Design and build the company's AI-first platform architecture.
Develop agent-based systems, orchestration layers, and inference pipelines.
Build scalable data ingestion, transformation, and feature engineering pipelines.
Our client is an early-stage healthcare AI company leveraging AI, data science, and clinical expertise to generate actionable insights from health data. The small team works alongside experienced founders and world-class advisors, building an AI-native platform from scratch.
Lead end-to-end development of advanced AI solutions including agentic systems, RAG pipelines, and multi-agent workflows.
Architect AI infrastructure with guardrails, access controls, and compliance protocols for ethical deployment.
Guide multi-disciplinary teams, setting technical playbook and best practices.
Nava is a consultancy and public benefit corporation that makes government services simple and effective. Since 2015, federal, state, and local agencies have trusted Nava to solve technology modernization challenges, and they maintain a collaborative, remote-friendly team environment.
Research and develop a platform utilizing cutting-edge AI agents for generative AI and machine learning solutions.
Design, implement, and optimize end-to-end machine learning pipelines, including LLMs, prompt engineering, and agentic AI.
Collaborate with cross-functional teams to deliver enterprise-grade AI architectures in financial, healthcare, or insurance industries.
The company operates in the technology, information, and media sector, focusing on software development. It is a mid-sized organization with a remote-first culture, seeking a Senior GenAI/Agentic AI Engineer to develop cutting-edge AI agents.
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 maintain LLM-powered applications and autonomous agents using Python and frameworks like LangGraph.
Build agentic workflows, implement prompt engineering strategies, and integrate LLM models across providers.
Develop observability tools, MCP Server components, and deploy cloud-native solutions on AWS.
NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing content across film, television, and streaming, and operating theme parks. As a subsidiary of Comcast Corporation, the company champions an inclusive culture and strives to develop a talented workforce to serve communities.
Design end-to-end AI architectures for enterprise systems, including copilots, RAG, conversational AI, and multi-agent systems.
Build AI-ready data layers with vector stores, knowledge graphs, and RAG pipelines, integrating with ERP, CRM, and other systems via APIs.
Drive AI adoption across the software development lifecycle, providing technical leadership and mentoring to teams.
Altamira is a software development outsourcing company that provides solutions to drive client growth and productivity. The company has service delivery teams in Slovakia, Ukraine, and the Middle East and fosters a fully remote, freelance-friendly culture.
Set technical direction across multiple services and teams as a senior individual contributor.
Define AI platform patterns including agent orchestration, tooling, governance hooks, and evaluation surfaces.
Stay hands-on, designing and building production systems in Python across the AI stack.
Mitratech builds world-class products that simplify operations in Legal, Risk, Compliance, and HR functions. Serving 20,000 client companies globally, including 30% of the Fortune 500, the company fosters a diverse, inclusive culture that blends entrepreneurial spirit with enterprise investment.
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.
Design and build agentic AI systems to automate complex workflows across ICON's software platform.
Develop LLM-powered features using state-of-the-art foundation models and APIs.
Architect multi-agent pipelines, tool-use systems, and MCP integrations.
ICON is a construction technology company that develops advanced 3D printing and robotic systems for building homes and structures. The company fosters an innovative, inclusive, and diverse work environment with a focus on pushing the boundaries of construction technology.
Design and build scalable backend systems powering AI Agents in real-time enterprise environments.
Develop agent orchestration frameworks including multi-step reasoning, tool usage, and decisioning workflows.
Architect low-latency inference pipelines integrating LLMs, SLMs, and external tools at scale.
Level AI is an AI-native platform that transforms enterprise contact centers into engines of customer intelligence and business growth. Headquartered in Mountain View, CA, as a Series C company backed by Battery Ventures and ENIAC, their team builds agentic AI at scale.
Design and deploy state-of-the-art GenAI solutions including RAG pipelines, LLM orchestration, and AI agents.
Lead high-impact, client-facing engagements and oversee junior consultants.
Work hands-on with Databricks, LangChain, and models like GPT, LLaMA, and Claude.
Lovelytics helps some of the most complex enterprises modernize their data and put AI to work. The company has grown from 85 to 500+ people across the Americas, maintaining a technically excellent, low-ego culture.
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.
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.
Define and execute AI architecture strategies and technical roadmaps aligned with organizational goals.
Design scalable AI platforms leveraging Generative AI, LLMs, RAG, and automation.
Lead technical evaluations of emerging AI technologies and guide teams from proof-of-concept to production.
LTS is a technology solutions provider focused on AI and digital transformation for federal and enterprise clients. They foster a culture of innovation, growth, and collaboration.
Set technical direction for complex GenAI and agentic systems, building them hands-on and raising the bar for production-ready AI.
Own the hardest problems in AI portfolio, from agentic platforms at scale to AI in regulated, high-stakes environments.
Partner directly with client leadership to translate business strategy into AI architecture and shape solutions in pre-sales.
Egen is a fast-growing and entrepreneurial company with a data-first mindset, helping clients drive action and impact through data and insights using advanced technology platforms like Google Cloud and Salesforce. We are committed to being a place where the best people choose to work, dedicated to learning, thriving on solving tough problems, and continually innovating to achieve fast, effective results.
Lead strategic Professional Services engagements, guiding customers through AI-powered software delivery and feature management implementations.
Partner with customers to design and implement safe rollout patterns for AI, including progressive exposure and experimentation directly in their codebase.
Act as a trusted advisor, building reference implementations and integrating LaunchDarkly into AI architectures to ensure safe, observed, and optimized releases.
LaunchDarkly provides a feature management platform that enables developers to release software safely and efficiently. The company is rapidly growing, with a culture that values humility, collaboration, and respect.
Build and operate production-grade model serving infrastructure using vLLM, TGI, or Triton frameworks.
Design and implement auto-scaling, multi-model architectures, and intelligent request routing for ML inference.
Optimize GPU utilization, memory efficiency, and observability to ensure low-latency, cost-effective systems.
They are a distributed cloud infrastructure startup building AI-native cloud services with GPU-powered compute. The company is well-funded, fast-scaling, and operates in a remote-first environment with a focus on sustainability and decentralization.