Build and optimize LLM-powered features for automated recruiting workflows, improving AI agent performance through prompt engineering and safety guardrails.
Design and deliver full-stack features across backend services, Python web apps, and frontend interfaces with enterprise ATS and CRM integrations.
Own end-to-end technical delivery, including architecture, code reviews, testing, and production monitoring, while working directly with enterprise clients.
Inallmedia.com is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams. They partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation.
Design and build scalable cloud infrastructure spanning Kubernetes, distributed systems, and CI/CD pipelines.
Develop and deploy AI agents for infrastructure management with safeguards, observability, and reliability.
Provide staff-level technical leadership, mentoring engineers and driving architectural decisions.
The company builds enterprise AI applications and infrastructure, with a focus on AI-native engineering practices. It operates as a remote-first, globally distributed team spanning more than 15 countries, valuing technical excellence, inclusion, and continuous improvement.
Rebuild the existing product into infrastructure designed to support significant growth.
Design and operate agent systems, including orchestration, memory, and verification.
Own projects end to end across backend, infrastructure, frontend, and AI agents.
Early-stage AI company building reliable infrastructure for AI-powered service businesses. It is an early-stage startup at the first-engineer stage, so you'll work directly with the founder to shape architecture and engineering culture.
Develop and improve methods, algorithms, and systems across the lifecycle of reliable AI agents.
Create new approaches for simulating, evaluating, and optimizing agent behavior in real-world settings.
Partner with product and engineering teams to bring AI research into practical applications.
The company builds infrastructure for reliable AI agents in production, targeting enterprise workflows. It is a focused team of researchers and engineers working collaboratively on advancing agentic AI.
Build and improve AI agents by writing production code for Voice Agent and Autopilot platforms.
Own enterprise AI deployments from initial discovery through go-live, working directly with customers.
Design and implement AI workflows, debug agents in production, and turn customer needs into reusable product features.
Supermove builds software and AI for moving companies, providing systems for sales, operations, crews, and billing. The company has raised $30M from investors like Andreessen Horowitz and serves moving businesses across the US, Canada, and Australia.
Design end-to-end technical solutions integrating Ada's AI Agent with client systems like CRMs and contact centres.
Lead technical deep dives with client business and engineering teams, turning business goals into clear technical requirements.
Drive complex pre-sales deals from scoping to production, serving as the trusted technical advisor to clients and Customer Success.
Ada is an AI customer service platform that helps enterprise brands automate and personalize customer interactions at scale. Established in 2016 with over $250M in funding, Ada has powered 5.5 billion+ interactions and values personal growth and continuous improvement.
Lead the design and deployment of AI-enabled SAP automation and agentic workflows across S/4HANA and connected platforms.
Architect scalable solutions using SAP Business AI, Joule, SAP AI Core, RAG, and intelligent automation frameworks.
Ensure production reliability, governance, and continuous improvement of autonomous ERP operations.
Levi Strauss & Co. is an iconic apparel company that designs and sells denim and clothing worldwide. It values originality, inclusion, and making a positive impact, fostering a culture where employees can be themselves.
Learn, maintain, and improve our synthetic data pipeline and automated training system.
Take over a model and improve it with an agent loop that generates its own data.
Build closed loops where agents train detectors, test against validation sets, and improve with little human input.
CVEDIA builds computer vision models and applications that run on server and edge hardware using synthetic data. We are a small, fully remote team that uses AI agents across the company.
Own the vision for applied AI solutions across Reddit's business and technical functions.
Build AI applications, agents, and automations that solve real business problems.
Mentor engineers and set technical direction for AI-native workflows.
Reddit is a community of communities, hosting open and authentic conversations on the internet. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information.
Build quantitative-research environments, agents, and post-training methods for systematic decision-making.
Turn workflows into tasks, run experiments against real baselines, and deploy what works.
Work directly with customers and quantitative funds while maintaining a substantive research agenda.
Prime Intellect builds the open superintelligence stack for post-training AI, unifying compute, environments, evaluations, and deployment. They have raised $150M from top investors and are building a culture of ambitious, externally-facing applied research.