Skill needed: Python, LLMs, Golang, Docker.
Employer: Docker
At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride!This is a remote position open to candidates based in Europe and the Eastern United States. If you’re located in or near Paris, France, we also have an office space available should you prefer to work on-site.We are looking for a Senior Software Engineer (Docker Agents) to join Docker's AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents—providing isolation, portability, and reproducibility. You'll be working on cagent, our open-source project (https://github.com/docker/cagent), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker's container technology.This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You'll work alongside a team of seasoned engineers, collaborating with our sister teams working on Ask Gordon and Docker's broader AI platform. This is a unique opportunity to combine cutting-edge AI techniques with container technology to solve real-world developer problems.ResponsibilitiesBuild Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portabilityExpand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment and orchestrationAgent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containersRAG Integration: Enhance agent capabilities with Retrieval-Augmented Generation systems to provide contextual knowledge and domain expertise (secondary focus)Evaluation & Testing: Design robust evaluation frameworks to measure agent performance, reliability, and containerized deployment effectivenessRapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficientlyOpen Source Community: Engage with the cagent community, review contributions, and help grow the ecosystemCross-functional Collaboration: Work closely with product managers, designers, and engineers across Docker's AI teams to integrate containerized agent capabilities into Docker's developer experienceQualificationsGo Expertise: Strong proficiency in Go (this is absolutely required) - Docker's primary language for backend systemsAI/ML Knowledge: Practical experience with large language models (LLMs) and agent developmentSystem Architecture: Proven ability to design scalable, distributed systemsContainer Technology: Deep understanding of Docker, containerization best practices, and container orchestrationRAG Systems: Experience building Retrieval-Augmented Generation systems (secondary focus)Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedbackAI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (peferred)Python Proficiency: Experience with Python for AI prototyping and tooling (prefered)Experience with Kubernetes or container orchestration platforms (preferred)Open source contributions and community engagement (preferred)Experience with agent evaluation, reliability, and observability techniques (preferred)What to ExpectFirst 30 daysIntegrate into our dynamic AI engineering team building containerized agent infrastructureDeep dive into cagent's architecture and our containerized agent deployment roadmapContribute your first enhancements to cagent with the help of your teamUnderstand our technical stack and begin collaborating with sister AI teamsFirst 90 daysLead significant features or improvements to cagent and our containerized agent platformEnhance agent deployment capabilities and container-based orchestration patternsCollaborate with the open-source community on cagent developmentHelp other new team members onboardRegularly interact with internal stakeholders and analyze user feedbackOne-Year OutlookDrive major architectural decisions for our containerized agent platform that will impact millions of Docker usersContinue to help grow the team and develop efficient agent development processesContribute to evaluation frameworks and performance optimization across our agent systemsLead initiatives to expand containerized agent capabilities for enterprise use casesGrow your skills in enterprise-grade containerized AI system architecture and deploymentShape the future direction of cagent and Docker's agent ecosystemIn collaboration with your manager, you will have a Career Development Plan that will outline your trajectory beyond your first year.We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024.Please see the independent bias audit report covering our use of Covey here.PerksFreedom & flexibility; fit your work around your lifeDesignated quarterly Whaleness DaysHome office setup; we want you comfortable while you work16 weeks of paid Parental leaveTechnology stipend equivalent to $100 net/monthPTO plan that encourages you to take time to do the things you enjoyQuarterly, company-wide hackathonsTraining stipend for conferences, courses and classesEquity; we are a growing start-up and want all employees to have a share in the success of the companyDocker SwagMedical benefits, retirement and holidays vary by countryDocker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.Due to the remote nature of this role, we are unable to provide visa sponsorship.