Top Tech Jobs & Startup Jobs in Seattle, WA

Lead enterprise Generative AI strategy, design and productionize RAG and retrieval systems, define evaluation and alignment frameworks, oversee model adaptation (SFT/DPO/RLHF), ensure AI quality and safety, and mentor cross-functional teams to translate research into scalable production solutions.

Design, evaluate, and productionize generative AI/ML solutions (RAG, agents, embeddings, retrieval). Build evaluation frameworks for hallucination detection, benchmark LLMs, optimize prompts/models, create datasets, fine-tune models, and collaborate to deploy and monitor enterprise-scale GenAI systems.

Design, build, deploy, and operate production-grade AI agents and multi-agent systems. Implement RAG, agent orchestration, copilots, observability, memory patterns, and enterprise integrations while ensuring governance, reliability, and onshore/offshore delivery.

Lead product strategy and roadmaps for marketing and e-commerce platforms, optimize CRM-driven customer journeys, collaborate with engineering and data teams, measure KPIs, and drive engagement, acquisition, retention, and digital revenue growth.

Lead development of scalable AI/ML capabilities for Mail Intelligence: build LLM- and ML-based personalization, data pipelines, tools, and observability. Mentor engineers, collaborate cross-functionally, run A/B tests, implement feedback loops, and balance cost/quality/speed tradeoffs to deliver production-grade solutions.

Design, build, and maintain scalable Java/Spring Boot backend services and RESTful microservices. Implement event-driven architectures with Kafka, manage PostgreSQL schemas and queries, ensure performance and security, troubleshoot production issues, collaborate across teams, participate in code reviews, and operate services on Kubernetes with CI/CD workflows.

Serve as product owner for an Android mobile app: define vision, write epics/user stories, prioritize roadmaps, drive technical design and metrics, coordinate cross-functional teams (engineering, data science, clinical, design), and deliver healthcare-focused mobile features using Agile/SAFe practices.

Develop and operate Java Spring Boot microservices, deploy and manage services on Kubernetes, perform JVM profiling and heap analysis, load test, diagnose memory leaks, OOMs and P99 latency spikes, remediate security vulnerabilities, and maintain GitHub-based CI/CD and branching workflows.

Lead a team of 5-6 data engineers to design and implement scalable data pipelines (Airflow), manage Snowflake data architecture, build real-time streaming solutions with Kafka/Spark Streaming, develop and integrate APIs, enforce code quality, and drive technical decisions and best practices.

Lead architecture, design, and delivery of native or hybrid mobile applications. Build POCs, translate wireframes into high-quality code, own technical delivery end-to-end, manage a team, and collaborate with product owners and stakeholders to ensure performance, scalability, and alignment with business goals.