• Architect and code sophisticated AI modules, including high-performance embedding pipelines, custom chunkers, and advanced retrieval evaluators • Lead the integration of intelligent agent services with diverse internal and external APIs and vector databases to solve complex, cross-service challenges • Stay at the bleeding edge of AI research, implementing the latest advancements in fine-tuning, RLHF, and prompt engineering frameworks like DSPy • Drive agile excellence by spearheading sprint deliveries and collaborating with cross-functional leaders to define the scope of transformative AI features • Champion code quality and team growth by performing high-level peer reviews and contributing to shared utility libraries that boost development velocity • Architect and implement modular, cloud-native microservices that integrate GenAI into our production ecosystem, ensuring our Agentic solutions are as scalable and reliable as they are intelligent • Take ownership of the production lifecycle by building robust CI/CD pipelines and using observability frameworks (like Datadog or Databricks) to monitor model health, trace agent logic, and ensure system uptime • Drive technical excellence by developing comprehensive evaluation suites—incorporating both traditional testing and modern LLM-based evals—to benchmark accuracy, safety, and performance before every release

This is a remote position. Job Title: Applied AI Engineer (Mid-Senior) Role Summary The Mid-Senior Applied AI Engineer is responsible for designing, developing, and deploying scalable artificial intelligence solutions within an enterprise AI platform. Moving beyond basic implementation, this role requires architectural thinking to build robust GenAI services, complex retrieval pipelines (RAG), and agentic workflows. The engineer will partner closely with AI Program Management, Data & Analytics, and business stakeholders to translate validated business requirements into secure, production-ready AI applications. Key Responsibilities - Platform Development: Design and build core AI application components supporting enterprise AI initiatives, including agentic workflows, batch processing, and data integrations. - Advanced Retrieval & Agentic Architectures: Implement and optimize sophisticated embeddings, vector search strategies, and multi-agent workflows to handle both text and structured data retrieval from core enterprise systems. - API & Backend Engineering: Develop secure, high-performance backend APIs (primarily FastAPI/Python) to facilitate seamless integration between foundational models and internal enterprise architecture. - Model Integration & Orchestration: Work with multiple LLMs (OpenAI, Claude, Gemini) via model-agnostic routing layers, optimizing for cost, latency, and task-specific performance. - Feasibility & Scoping: Collaborate directly with AI Program Managers and Business Analysts during the intake phase to assess technical feasibility, architecture requirements (e.g., Agentic vs. Standard ML), and data readiness for new business requests. - Deployment & LLMOps: Drive the deployment of AI systems, establishing CI/CD pipelines, containerization, and robust LLM monitoring (observability, prompt drift, and accuracy metrics). - Governance & Compliance: Ensure all AI components strictly adhere to enterprise AI governance, security, and data privacy standards. - Mentorship: Provide technical guidance and code reviews for junior developers on the team. Required Technology Stack - AI Models: Deep familiarity with API integration and prompting for OpenAI, Anthropic (Claude), and Google (Gemini) models. - Frameworks: Advanced proficiency in LangChain, LangGraph, and LlamaIndex for building RAG pipelines and agentic decisioning systems. - Backend & APIs: Strong expertise in Python and FastAPI. Basic working knowledge of Node.js. - Data Architecture: Experience designing schemas and optimizing queries for Vector Databases (e.g., Azure AI Search, Pinecone, Milvus) and relational databases (PostgreSQL). - Cloud Infrastructure: Hands-on experience with Azure Cloud and Azure AI Services. - DevOps & Deployment: Proficiency with Git, Docker, and CI/CD principles. Experience with LLM observability tools is highly preferred.

At Buildkite, our mission is to unblock every developer on the planet. We've rethought how software delivery should work and have built a platform that is fast, reliable, secure, and able to scale to the needs of the most demanding high-growth tech companies globally, including Airbnb, Shopify, Canva, PagerDuty, Lyft, and Pinterest. Job Overview We're hiring a Staff Engineer to join our Compute and Agents team. In this role, you'll help set technical direction for the team, lead architectural decisions across complex systems, and drive the work that has the highest impact on Buildkite's infrastructure and developer experience. You'll shape how we build and scale our agent infrastructure, hosted compute, and MCP service — balancing reliability, performance, and security at scale. This is a hands-on role. You'll write code, own the hardest problems, and raise the engineering bar across the team through standards, mentoring, and the quality of your own work. 🔧 About the Team The Compute and Agents team builds, maintains, and iterates on the infrastructure that keeps Buildkite humming — from our open-source agent trusted by engineers around the world, to our hosted agents and MCP service. It's a team that sits at an intersection of deeply technical infrastructure work and the fast-moving world of AI agents, with our own agent in the middle. There's real ownership here. You'll work on problems that matter to developers everywhere, shipping work you can point to and be proud of — alongside a sharp, kind team that loves digging into hard problems together. 🚀 What You'll Do - Help guide the technical direction for the Compute and Agents team, shaping architecture and system design decisions - Lead the hardest cross-system integrations and drive solutions to complex infrastructure challenges - Design and evolve systems, patterns, and standards that improve reliability, performance, and operability across teams - Write code, review code, and pair with engineers — leading by example on quality and craft - Build alignment across teams and stakeholders on technical decisions, balancing speed, quality, and impact - Collaborate with engineers, designers, and product managers to shape solutions that solve customer problems - Mentor and upskill engineers within the team, raising capability and setting shared standards - Lead cross-team reliability, performance, and cost initiatives; set operational readiness expectations for major changes - Participate in customer research and discovery sessions to inform product and architectural decisions 🎨 Skills & Experience We Value Core Skills: - Strong communication skills, with empathy and kindness in both written and verbal collaboration - Proven experience leading technical direction within or across engineering teams - Repeated ownership of large or complex production systems, with clear evidence of impact beyond a single team - Ability to make strategic trade-offs, articulate decisions clearly, and build alignment in ambiguous situations - Strong judgment about where to invest versus where to simplify - Comfortable working directly with customers and incorporating feedback into product development - Familiarity with CI/CD systems, developer tooling, and DevOps concepts Technical Stack: - Go — our primary language, used across our agents and infrastructure. Strong experience or a genuine eagerness to go deep is a must. - Kubernetes & AWS — we run cloud-native infrastructure at scale. Experience with container orchestration and distributed systems is a big plus. - Terraform — we manage our infrastructure as code with Terraform. Familiarity with IaC principles and writing reusable, maintainable Terraform is valued. - Ruby on Rails — the backbone of the Buildkite platform. The majority of our product is built here, so comfort with Rails or a willingness to pick it up matters. - React & GraphQL — our frontend and API layer, used across the platform alongside Rails. - PostgreSQL — experience with query optimisation, schema design, or managing relational databases under load is a plus. 🗓 A Typical Day Might Include - Leading an architecture discussion for a new capability or system change - Reviewing pull requests with detailed, constructive feedback - Pairing with an engineer on a complex infrastructure problem - Investigating performance bottlenecks or scaling challenges - Driving alignment across teams on a cross-cutting technical decision - Joining a customer discovery session to understand how teams use agents at scale - Writing code on the hardest or most ambiguous parts of the work ✨ Why Join Buildkite At Buildkite, we value kindness, autonomy, and collaboration. You'll be part of a remote-first company where your work can make a meaningful impact — empowering engineers worldwide to build and deliver better software faster. - Competitive compensation and benefits package - Flexible, remote-first culture - Opportunities for professional growth, leadership, and technical ownership - Work alongside talented, passionate engineers building world-class developer tools - A collaborative, inclusive, and innovative culture where your ideas make a real impact 🌈 Equal Opportunity Employer At Buildkite, we value diversity and celebrate all types of skills, backgrounds, and experiences. We’re dedicated to fostering an inclusive environment and providing reasonable accommodations throughout our recruitment process. If you need any accommodations or support during the application or interview process, please reach out to us at accommodations@buildkite.com.

Role Description - Solution Design & Implementation: Designs, builds, and deploys solutions on AWS, ensuring scalability, security, and cost-effectiveness. - Customer Engagement: Works directly with customers to understand their needs, business objectives, and technical challenges. - Technical Expertise: Possesses deep knowledge of AWS services, best practices, and industry trends, which include but are not limited to AWS services like AWS Control Tower, AWS Organization, VPC, AWS Cloud WAN, AWS Security Hub. - Networking: Should have strong expertise in configuring networking services in AWS. - Communication & Collaboration: Effectively communicates technical solutions to both technical and non-technical audiences. - Continuous Learning: Keeps abreast of the latest AWS technologies and trends. - Problem Solving: Identifies and resolves complex technical issues. - Digital Transformation: Helps organizations move from on-premises systems to the cloud, enabling digital transformation. Qualifications - Experience: Extensive experience in designing, implementing, and managing cloud solutions on AWS, typically 10+ years. - Skills: Strong technical skills in cloud computing, networking, security, and application development. - Certifications: AWS certifications, such as AWS Certified Solutions Architect - Professional, are highly valued. - Education: Bachelor's degree in Computer Science or a related field. - Soft Skills: Excellent communication, problem-solving, and collaboration skills.