1 month ago
Base Salary
$160k - $253k/yr
Responsibilities
- Establish the technical vision, architecture, and engineering standards for services-oriented agentic systems.
- Own the platform roadmap and release lifecycle from discovery and classification through quality assurance and rollout.
- Develop multi-step workflows using LLM orchestration, prompt engineering, tool integration, retrieval-augmented generation, and structured output processing.
- Create evaluation frameworks, quality benchmarks, tracing, monitoring, and metrics for agent performance and production reliability.
- Design human review checkpoints and robust controls for failure modes, operational boundaries, security, and maintainability.
- Integrate platform outputs into professional services workflows and collaborate with services practice leads, delivery teams, and global specialists.
Requirements
- 10+ years of experience in platform engineering, software engineering, or technical professional services roles.
- Proven experience deploying agentic or LLM-powered applications to production and managing their optimization lifecycle.
- Practical experience with LLM orchestration, prompt engineering, tool integration, and RAG architectures.
- Experience building evaluation systems, test suites, and monitoring tools for probabilistic models.
- Familiarity with developer tooling such as Claude Code or Codex and agent framework patterns.
- Strong Python engineering skills, including reviewing backend services and data structures for production readiness.
- Knowledge of security practices including access control, least privilege, air-gapped environments, and sensitive customer data handling.
- Strong communication skills for explaining technical trade-offs and deployment risks to non-technical stakeholders.
- Willingness to travel up to 15%.
- Experience in SIEM, observability, data migration, Elastic workflows, Elasticsearch retrieval systems, public-sector compliance, technical enablement, or relevant AI/ML, cloud, or security certifications is preferred.
Benefits
- Base salary with no variable compensation component.
- Stock program eligibility and company-matched 401(k) contributions up to 6% of eligible earnings.
- Health coverage, flexible locations and schedules, and generous vacation days.
- Up to $2,000 in matched financial donations and up to 40 volunteer hours annually.
- At least 16 weeks of parental leave.
- Distributed-company work environment with flexible locations and schedules.
Tech Stack
Categories
About Elastic
Elastic builds the Elasticsearch-based platform for enterprise search, observability (logging, metrics, APM), and security (SIEM/endpoint). It sells subscriptions and Elastic Cloud managed services with usage-based pricing, combining open source and proprietary features through Elasticsearch and Kibana. Founded in 2012 and headquartered in San Francisco, Elastic is publicly traded on the NYSE and is used by more than half of the Fortune 500.