We are the Tech & AI group within Monday’s Customer organization, building the “Agentic OS” - a unified agent architecture that delivers enterprise-level service through AI. As the Engineering Team Lead - Agentic System, you will own the Data, Knowledge, and Context layers that power our agents. This is the most senior engineering role in the group, responsible for translating agentic strategy into scalable, production-grade systems. You will partner closely with Product to build the orchestration engine behind our AI agents, enabling true state-awareness and persistent memory across agents - 5+ years of hands-on experience in software or AI engineering. - Strong background in platform engineering, distributed systems, and data pipelines - Hands-on experience with RAG at scale and LLM orchestration frameworks (LangChain, LangGraph, or similar) - Proven track record of taking AI products from prototype to production - Ability to translate complex architecture into clear execution plans - Business-oriented mindset with strong Product partnership

• Develop the long-term vision and roadmap for Artera’s statistical computing platform, enabling scalable and reproducible R-based workflows • Build and maintain R-based analytical environments for clinical and outcomes research • Design and operate R package infrastructure, including internal packages, dependency management, and package repositories • Build and evolve core libraries and tooling used by biostatisticians for analysis, reporting, and model validation • Partner with biostatisticians to productionize statistical methods and pipelines • Enable reproducible workflows through containerization, environment management, and versioning (e.g., renv, Docker) • Integrate statistical workflows into Artera’s broader data and AI platform ecosystem • Optimize compute, storage, and data access for large-scale clinical and real-world datasets • Ensure systems meet standards for auditability, reproducibility, and compliance

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Lead Software Engineer on our AI Platform Team, you'll play a key role in building the infrastructure and tooling that enables product teams across the company to integrate GenAI into real-world products. This is a hands-on role where you'll design, implement, and deliver AI developer infrastructure - from orchestration runtimes to observability tools - that makes AI development faster, safer, and more reliable at scale. What you'll do as a Lead Platform Engineer - Build and maintain core AI infrastructure and tooling, including runtimes, model gateways, orchestration layers, and SDKs. - Deliver reusable components that simplify AI development workflows - such as agent orchestration (e.g., LangGraph), vector search (e.g., Weaviate or PGVector), prompt management, and model routing (e.g., LiteLLM). - Work closely with product and infrastructure engineers to solve real pain points, ensuring teams can adopt and scale AI effectively. - Operationalize AI in production by implementing monitoring, evaluation, and fallback systems that keep features reliable and performant. - Drive features from prototype through production rollout, focusing on execution and delivery. - Keep up to date with emerging AI platform tools and frameworks, applying them where they improve team velocity and product reliability. - Share best practices with peers and contribute to building a strong engineering culture on the team. What you'll bring - Strong software engineering background, with 4+ years of experience building backend systems, platforms, or internal tools at scale. - Proficiency in .NET, Java, Python, TypeScript or JavaScript. - Experience in developer enablement, infrastructure, or platform engineering - especially with CI/CD, productivity tooling, or automation. - Familiarity with building AI-powered applications in production, such as retrieval-augmented generation (RAG) systems, task-driven agents, or LLM-integrated tools. - Hands-on experience with components of modern AI platforms - such as orchestration frameworks, vector databases, and monitoring/evaluation tools. - Interest in simplifying complex AI workflows and building safe, reliable abstractions. - Strong execution mindset - you focus on shipping reliable solutions and improving developer productivity. - Excellent collaboration and communication skills; you thrive in cross-functional environments. #LI-OK1 Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role.

Role Description neoBIM is currently recruiting for an experienced, hands-on Platform Engineer to help shape our infrastructure, improve system reliability, accelerate product development, and improve release cadence. This is a practical, high-impact role for someone who enjoys a varied workload across: - Architecture and system design - Infrastructure development - Deployment and CI/CD - Security - Developer experience The ideal candidate will work closely with the engineering team, who are on-hand to guide and support. However, we are actively seeking a proactive, highly motivated engineer who can take ownership of project infrastructure and drive the rollout of simple, elegant, maintainable, and well-documented solutions. Prior experience with SaaS companies in the AEC space is a plus. Key tasks include: - Provision and manage cloud infrastructure reproducibly using infrastructure as code, likely via Terraform. - Design and maintain CI/CD workflows, including Git-based workflows and GitHub Actions. - Implement and manage observability, monitoring, and alerting using tools like Prometheus, Grafana, or Datadog. - Shape vulnerability scanning, dependency management, and system hardening. - Administer Linux systems, including shell scripting and troubleshooting. Qualifications - In-depth experience with one or more major cloud providers, such as AWS, GCP, or Azure. - Strong understanding of cloud architecture, networking, and security, with experience designing and operating production systems. - Experience deploying and operating managed relational, non-relational, and vector databases, such as PostgreSQL or MySQL via Amazon RDS, DynamoDB, MongoDB, Weaviate, or Milvus. - Experience with modern authentication and identity tooling, including managed platforms such as Auth0, Clerk, and Zitadel. - Familiarity with modern managed platform services such as Vercel, Neon, and related developer infrastructure tools. - A strong operational mindset, with experience improving reliability, security, monitoring, deployment workflows, and incident response. - Good judgment about when to use managed services and when to bring more infrastructure under direct control within a major cloud provider. - Strong experience with infrastructure as code tooling, and a clear sense of how to keep infrastructure maintainable, consistent, and well-structured across a growing product portfolio. - Clear communication and documentation skills, and a pragmatic approach to deciding when to improve or extend existing systems versus undertaking a ground-up rebuild. Requirements - Familiarity with PostgreSQL administration, optimisation, backup and restore, and high-availability setups. - Experience working with monorepos and build orchestration tools such as Turborepo. - Experience with secrets management tooling, such as AWS Secrets Manager, HashiCorp Vault, or GitHub/GitLab secrets management. - Ability to read and understand TypeScript in order to support application teams effectively. - Experience integrating infrastructure alerts, deployment notifications, and operational workflows into Slack. - Familiarity with modern engineering workflow tools such as Jira, Linear, GitLab, or similar. - Prior experience with SaaS companies in the AEC space. Benefits - Attractive Compensation & Growth Path - Strategic Ownership of High-Impact AI Initiatives - Access to World-Class Infrastructure - A Culture of Deep Tech and Real-World Application - Flexibility with remote first work environment and a great team that shapes the future