Top Artificial Intelligence Software Engineer Jobs

Lead one to two squads building Datadogs Experimentation App. Mentor full-stack and frontend engineers, own delivery from planning to production, set technical direction with statisticians, partner with Product/Design/customers, enforce high engineering standards, and recruit and grow the team.

Lead a polyglot engineering team to define and deliver serverless APM across AWS, Azure, and GCP. Drive auto-instrumentation, OpenTelemetry and Datadog integration, expand managed-service tracing coverage, partner with product, and ensure excellent developer experience and reliable APIs.

Design and implement Datadog's Rust-based streaming client libraries and their interactions with the control plane. Optimize high-throughput, low-level streaming code for performance, reliability, and observability. Support and document developer experience, lead cross-team technical projects, and mentor junior engineers and interns.

Lead one or more backend engineering teams responsible for core platform services, APIs, data stores, and distributed systems. Drive operating cadence, technical direction, scalability, reliability, and debt reduction. Partner with product and cross-functional stakeholders, participate in architectural decisions, hire and develop engineers, and ensure predictable delivery and high-quality solutions at scale.

Senior individual-contributor full-stack engineer who designs, builds, and ships end-to-end product features. Leads technical direction, modernizes legacy systems, debugs distributed systems, owns production reliability and on-call, and mentors engineers. Drives AI-native development adoption while collaborating with Product and Design and improving team practices, observability, testing, and deployment workflows.

Senior full-stack engineer responsible for designing, building, and shipping customer-impacting features across a Node/TypeScript/React codebase. Use AI tools in development, own production services (deployments, monitoring, on-call), debug distributed systems, improve engineering practices, mentor teammates, and influence technical direction within a product pod.

Design and develop frontend interfaces using React and Next.js, lead projects, and enhance user experiences through collaboration with founding team and users.

As a Backend Engineer, you will design and optimize backend services, APIs, and data processing, collaborating with leadership and users.

Senior engineer responsible for designing, developing, modernizing, and supporting enterprise applications across mainframe and distributed platforms. Work includes mainframe development (PL1, COBOL, ASM, JCL, CICS, DB2), API and cloud integration (Mulesoft, AWS, Lambda, Python), full-stack development, CI/CD/DevOps practices, architecture contributions, troubleshooting, and modernization initiatives.

Build and maintain full-stack Decision Intelligence products using React, TypeScript, Python, and SQL. Design and support REST APIs and backend integrations, create reusable components and prototypes, collaborate with product, design, and data science teams, and contribute testing, documentation, and deployment practices to deliver data-driven user experiences.

Lead a distributed engineering team to drive roadmap and deliver high-quality SaaS and on‑prem storage infrastructure. Remove blockers, apply first-principles to complex systems, champion engineering excellence, collaborate with cross-site stakeholders, and grow engineers through coaching and career development.

Design, build, and maintain scalable microservices and backend systems (Java/Kotlin) for growth initiatives. Enable experimentation, event-driven data pipelines, A/B testing, observability, and secure, high-availability services in collaboration with cross-functional teams.

Design, implement, and operate critical, highly scalable backend services (identity, friend graph, persistence). Collaborate across teams, build and test distributed systems, ensure availability and operational excellence, use AI tools to accelerate development, and participate in incident response and debugging.

Lead and coordinate technical engineering activities, mentor engineering teams, collaborate cross-functionally to deliver engineering solutions, ensure project milestones, troubleshoot complex technical issues, and uphold quality and process standards.

Lead Pfizer's enterprise Data & BI platform engineering organization, owning data warehouse/lakehouse, integration, BI, catalog, and observability platforms. Define strategy, roadmaps, SLAs, governance, FinOps, and vendor/licensing. Manage and grow platform teams to deliver reliable, governed, AI-ready data and enable federated analytics and AI consumers.