Senior Software Engineer

Business Area: EngineeringSeniority Level:Mid-Senior levelJob Description: As a Senior Full Stack Software Engineer you will lead the architecture and delivery of AI-powered workflows that are integral to our product. You will define the technical strategy, set quality and reliability standards, and deliver end-to-end systems that transform ambiguous customer needs into robust, measurable, and privacy-safe AI experiences.As a Senior Software Engineer, you will:Own the architecture: Design, evolve, and document the end-to-end AI workflow stack (prompting, retrieval, tools/function-calling, agents, orchestration, evaluation, observability, and safety) with clear interfaces, SLAs, and versioning.Ship production systems: Build reliable, low-latency services that integrate foundation models (hosted and self-hosted), and traditional microservices.Own end-to-end delivery of features from the user-facing aspect (UI) to the backend services.Implement robust testing frameworks, including unit, regression, and end-to-end tests, to guarantee deterministic and predictable behavior from our AI-powered data platform. Establish safety guardrails and human-in-the-loop processes to maintain accuracy and ensure the production of ethical, responsible, and non-toxic outputs.Optimize for cost & performance: Instrument, analyze, and optimize unit economics (token usage, caching, batching, distillation) and performance (p95 latency, throughput, autoscaling).Drive data excellence: Shape data contracts, feedback loops, labeling strategies, and feature stores to continuously improve model and workflow quality.Mentor and multiply: Provide technical leadership across teams, unblock complex projects, raise code/design standards, and mentor senior engineers.Partner across functions: Translate product intent into technical plans, influence roadmaps with data-driven insights, and communicate trade-offs to executives and stakeholders.We're excited about you if you have:4+ years of software engineering experience building large-scale distributed systems; Expertise in at least one primary language: Python, Go, or Java.Ability to drive UI frontend decisions and development using React or any other frontend frameworksCloud-native architectures (containers, service mesh, queues, eventing, micro services, Kubernetes).Basic understanding of Big Data Technologies (Spark, Ray)Familiarity with the AI/ML ecosystem: You understand the fundamentals of LLMs, vector databases, RAG, and prompt engineering. Security & privacy mindset: Familiarity with data governance, PII handling, tenant isolation, and compliance considerations.You may also have:Expertise with the Rust language – system programming, performance, and memory safety.Platform thinking: Experience designing reusable AI workflow primitives, SDKs, or internal platforms used by multiple product teams.Model ops: Experience with model lifecycle management, feature/embedding stores, prompt/version management, and offline/online eval systems.Search & data infra: Experience with vector databases (e.g., Pinecone, Weaviate, pgvector), retrieval strategies, and indexing pipelines.Observability: Built robust tracing/metrics/logging for AI systems; familiarity with quality dashboards and prompt diff tooling.Proven experience in integrating AI/ML models into user interfaces. Familiarity with tools such as MLflow, LangChain, or Hugging Face is a significant advantage.What you can expect from us:Generous PTO Policy Support work life balance with Unplugged DaysFlexible WFH Policy Mental & Physical Wellness programs Phone and Internet Reimbursement program Access to Continued Career Development Comprehensive Benefits and Competitive Packages Paid Volunteer TimeEmployee Resource GroupsEEO/VEVRAA#LI-SV1