Lead technical discovery with foundation model labs, frontier AI teams, and large enterprises to understand model objectives and constraints.
Design end-to-end solutions across the post-training stack including SFT data curation, RLHF/DPO pipelines, custom benchmarks, and LLM-as-judge systems.
Author technical proposals, run workshops and POCs, and serve as ongoing technical advisor during delivery.
Innodata is a global data engineering company focused on enabling responsible AI advancement through data, evaluation frameworks, and human expertise. With a 36+ year legacy, they provide high-quality data solutions to foundation model labs, hyperscalers, and enterprise AI teams.
Take ownership of the full software development lifecycle, including designing, developing, testing, and maintaining software solutions.
Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to develop scalable and high-performance systems.
Partner with clients and internal stakeholders to understand their needs and design solutions that optimize workflows and address complex technical challenges.
Boosted.ai builds AI for finance to optimize investing and boost productivity. They are a rapidly scaling company trusted by enterprises with over $5 trillion under management, backed by top investors, and have a collaborative, low-ego culture.
Design and build core architecture for AI systems spanning multiple product areas, ensuring coherence and reuse.
Set the technical bar for the org in evaluation frameworks, testing philosophy, CI/CD for model behavior, and shared infrastructure.
Take direct ownership of the hardest, most ambiguous technical problems and build solutions end-to-end.
Twin Health empowers people to prevent and reverse chronic metabolic diseases using AI Digital Twin technology. The company is rapidly scaling across the U.S. and globally with over $100 million raised, and has been recognized as an innovator and top workplace.
Own algorithmic features end-to-end across the next generation of Keen's AI Cortex, from design to production.
Pitch in on adjacent Python backend projects (Django, FastAPI, AWS) when work spans multiple services.
Collaborate across Product, Research, and Engineering, writing design docs and making tradeoff decisions.
Keen Decision Systems provides an AI-driven marketing platform that empowers marketing leaders and finance teams to make data-driven, future-focused business decisions. As an Inc. 5000 Fastest-Growing Private Company and a Triangle Business Journal Top 10 Best Place to Work, we promote a Conscious Culture with a 4-day work week.
Design and develop backend systems via REST APIs for DRM and content configuration used by other teams.
Improve video processing systems (scheduling, state machines, processing tasks) to transform uploads into viewable content on all devices.
Enhance video upload system focusing on performance, cost control, and resilience, while analyzing Big Data at petabyte scale.
Dailymotion is a video platform that provides a unique algorithm for critical thinking and safe debates, also offering video hosting and advertising services. The company has 400 employees across France, New York, and Singapore, united by a mission to innovate in the video ecosystem.
Lead end-to-end AI solutions, integrating LLMs and building agentic systems in production.
Design and optimize RAG pipelines, enforce PII redaction, and ensure secure data handling.
Mentor engineers, evaluate AI tooling, and drive adoption of agentic SDLC practices.
3Pillar is an AI transformation partner helping enterprises build AI-native products and intelligent agents. With teams across North America, Europe, Latin America, and Asia, they foster a remote-first global culture guided by collaboration, respect, and evolution.
Build AI-integrated backend systems connecting AI models to compliance workflows in a regulated context.
Own service architecture end-to-end, from design to reliability and scalability.
Automate AML/AFC compliance operations, from EDD automation to customer onboarding acceleration.
Qonto delivers Europe's leading finance workspace with banking at its core, augmented by financial tools. Founded in 2017, the company has grown to 1,600+ employees serving over 600,000 customers across 8 European countries, with a culture that puts customer satisfaction first and values diversity.
Own the technical onboarding experience, driving hands-on implementation across test frameworks and CI/CD pipelines to ensure customers achieve value quickly.
Drive sustained adoption by helping teams expand test coverage, standardize best practices, and scale usage over time.
Serve as the primary technical point of contact, troubleshooting complex challenges, conducting health checks, and advocating for customer needs with Product and Engineering.
Ubiminds is a people-first company that partners with American software product companies to scale their development footprint. They curate Brazilian top 5% talent for LATAM strategy, offering staff augmentation and employer-of-record services.
Develop production-quality code using Salesforce, Python, and AI-augmented tools within an AI-native SDLC methodology.
Design scalable platform capabilities and reusable libraries to enforce consistency and accelerate team velocity.
Mentor engineers, conduct code reviews, and collaborate cross-functionally to align technical strategy with business goals.
Smarsh provides cloud-based archiving and compliance solutions for regulated industries. It is a mid-to-large sized company with a culture that emphasizes engineering excellence and innovation.
Lead a small cross-functional product team, owning design and delivery of SMART on FHIR applications embedded in EMR workflows.
Champion AI-driven development with agents like Claude Code and Cursor, setting standards for code review and documentation.
Partner with data engineering on Python, dbt, and SQL pipelines while managing stakeholder expectations and driving best practices.
Sift Healthcare is transforming healthcare payments by equipping healthcare organizations to leverage their payments data for better margins and cash flow. Large health systems, vendors, and payers use Sift's Payments Intelligence Platform and ML integrations to optimize payment outcomes, and the company is a growing, dynamic team based in Milwaukee, Wisconsin.