Drive AI platform architecture and execute the long-term roadmap for machine learning and generative AI.
Lead AI infrastructure vision including end-to-end training, fine-tuning, and low-latency inference platforms.
Set engineering excellence standards for the full AI/ML SDLC and mentor senior engineers.
Lyra Health is a leading provider of evidence-based mental health care, serving over 20 million people globally. The company operates with a focus on transformative care and has delivered over 15 million sessions, employing a large team that includes engineers, data scientists, and clinical professionals.
Design and implement end-to-end document intelligence pipelines on AWS, including ML model development for document classification and field extraction.
Build scalable data processing systems handling PDFs up to 2000 pages, and own features from research through production deployment and monitoring.
Collaborate with subject matter experts to refine requirements, establish evaluation frameworks, and ensure extraction accuracy.
Exadel is an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients including HBO, Microsoft, Google, and Starbucks. Our culture is defined by ambitious, collaborative, and constantly evolving people who lead with trust, respect, and purpose.
Lead AI/ML strategy, architecture, and technical implementation across complex programs.
Design, develop, and deploy scalable AI/ML models and intelligent systems for decision support and automation.
Integrate cybersecurity, data governance, and compliance into AI/ML development workflows.
This company specializes in AI and machine learning solutions, focusing on secure, scalable production deployments. It fosters a collaborative culture with opportunities to work on advanced technologies and mentor others.
Develop and deploy machine learning and AI systems.
Work with LLMs, generative AI, and modern ML frameworks.
Optimize model performance, latency, and cost.
A fast-growing technology company building critical infrastructure that powers high-volume, real-time business operations across multiple systems and platforms. It is a collaborative, fast-moving environment where engineers have meaningful influence on architecture and product direction.
Lead a team of platform engineers to build and operate ML training and serving infrastructure, including GPU and low-latency serving.
Combine strong people leadership with technical judgment in ML infrastructure, partnering with senior ICs and cross-functional teams.
Drive delivery, operational health, and evaluate modern ML tooling to support company-wide ML priorities.
Affirm is reinventing credit to make it more honest and friendly, offering buy now pay later solutions without hidden fees. It is a remote-first company with a strong engineering culture, prioritizing people and providing competitive benefits.
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 and build reusable platform capabilities for LLM applications, AI agents, RAG, and tool calling.
Develop scalable data pipelines and secure integrations connecting AI applications to enterprise systems.
Establish technical standards for AI deployment, observability, evaluation, and lifecycle management.
Jobgether uses AI-powered matching to connect candidates with roles. They operate as a global, fully distributed international team with colleagues across multiple countries, offering a collaborative and inclusive environment.
Build AI-based features into a platform serving millions of users, working directly with the platform architect.
Stand up core AI infrastructure, including LLM serving, retrieval-augmented generation, and evaluation systems.
Shape engineering practices and own services end to end, from schema to deploy to on-call.
TMTG is a social media company dedicated to providing users an engaging and censorship-free experience. It is the fastest-growing social media platform in the country, championing free speech and serving millions of users in a fast-paced, rapidly growing environment.
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.
Design, build, and own agentic systems that produce client-ready financial deliverables from data ingestion to polished output.
Build evaluation and quality systems for generated deliverables, including deterministic checks and model-judged review.
Turn proprietary data into evidence-backed insight by building pipelines that discover and verify patterns.
Farsight is the agentic AI platform for financial services, helping investment banks and private equity firms automate nuanced workflows. The team comes from leading financial institutions and tech companies, focusing on hiring the best to become the best.
Drive backend development for AI workflows using Python and FastAPI as part of a collaborative team.
Productionize LLM integrations with systems for Bedrock usage, quotas, retries, and cost controls.
Build for scale by optimizing async job orchestration, performance, and data-layer for petabyte-scale enterprise data.
Smarsh empowers organizations to manage risk and uncover intelligence in digital communications. With over 6500 clients in regulated industries and consistent recognition from Gartner and Forrester, Smarsh has been listed on the Inc. 5000 as one of America's fastest-growing companies since 2008.
Build and maintain infrastructure for training, deploying, and monitoring ML models and GenAI services.
Develop and operate production backend services, APIs, and pipelines supporting recommendations and agent workflows.
Strengthen platform reliability, scalability, security, performance, and cost efficiency across the technology stack.
Jobgether uses an AI-powered matching process to help candidates apply for jobs. It processes personal data to evaluate applications and shares relevant information with hiring employers.
Build and evolve shared AI capabilities and reusable services for construction software products.
Design and implement production-grade AI systems including LLM-based experiences and agentic workflows.
Partner with product teams to identify cross-product opportunities and support integration of shared capabilities.
We are a technology company specializing in data science and AI solutions. With over 1,800 talents across 7 global sites, we are a Great Place to Work certified employer that values diversity and inclusion.
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.
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.
Lead client AI initiatives from discovery through production deployment.
Design and implement production-ready GenAI solutions using Amazon Bedrock and RAG pipelines.
Translate business requirements into technical architecture recommendations and guide clients on AI/ML best practices.
Innovative Solutions is a technology consulting firm that helps clients implement AI and cloud solutions. The company culture emphasizes innovation and client partnership, though specific size is not disclosed.
Build AI-powered tools and copilots across the SDLC to reduce cognitive load and eliminate manual steps.
Research and deploy GenAI solutions to improve delivery pipelines and system reliability.
Collaborate with Platform, SRE, and DevOps teams to integrate intelligent automation into the core engineering platform.
Coderio designs and delivers scalable digital solutions for global companies. They combine strong technical expertise with a product mindset and value autonomy and clear communication.
Lead the design and implementation of production-grade ML and Generative AI solutions on AWS, acting as a trusted advisor for customers running AI/ML workloads at scale.
Drive customer health and product adoption within the install base, translating complex business problems into secure, reliable, and cost-efficient cloud architectures.
Turn one-off solutions into reusable patterns and contribute to product feedback, internal enablement, and the culture of continuous improvement within the global FDE community.
DoiT is a global technology company that helps cloud-driven organizations leverage public cloud for business growth, combining data, technology, and human expertise. With decades of multicloud experience and specializations in Kubernetes, GenAI, and CloudOps, we serve over 4,000 customers worldwide as an award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure.
Design, build, and maintain core AI capabilities that power intelligent experiences across the platform.
Develop reusable capabilities for model integration, reasoning, and evaluation.
Optimize AI systems through experimentation, quantitative evaluation, and iterative refinement.
Legion embeds intelligence inside complex systems, unlocking data and accelerating human workflows for government and enterprise. They collaborate with world-class partners like Palantir and Nvidia, building intelligent infrastructure with a team of bold thinkers.
Design, deploy, and maintain scalable ML infrastructure for model training, batch processing, and real-time inference.
Build and manage cloud-based infrastructure with AWS and Snowflake using Infrastructure-as-Code practices.
Develop CI/CD pipelines, automation frameworks, and monitoring for ML systems to improve reliability and governance.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They operate with a team-oriented culture and offer remote work flexibility, focusing on efficient, unbiased recruitment.