3 hours ago
Remote, United StatesStaff+
Base Salary
$150k - $200k/yr
Responsibilities
- Write and ship production AI code as an active daily contributor.
- Lead semantic retrieval, indexing, and knowledge-graph work to make customer context rapidly retrievable across the data platform.
- Build inference and signal layers that read from the Iceberg-based lakehouse, write scored inferences, and expose reusable contracts.
- Turn detected conditions such as churn risk, usage and entitlement mismatch, and expansion opportunities into workflows with appropriate human review.
- Select large models, fine-tuned models, or deterministic code for each workload while managing inference cost.
- Own evaluation and observability for AI systems, including demonstrating signal quality before actions are taken.
- Establish shared engineering patterns and collaborate with engineering and business leaders to turn company goals into shipped systems.
- Develop shared data or ML capabilities that other teams can build on and mentor through high-quality code and system design.
Requirements
- 8+ years of software engineering experience, including 3+ years shipping AI or ML systems to production.
- Strong programming fundamentals and deep proficiency in at least one language used for AI and data work; Python is the primary ML and insights language.
- Advanced SQL and experience with data at scale, transformation layers such as dbt, distributed query engines, lakehouse or warehouse storage, query cost, and partitioning.
- Production experience with embeddings, vector search, hybrid or graph retrieval, context engineering, and measuring retrieval quality.
- Production experience building agentic systems and durable workflows with tool calling, state, memory, and human-in-the-loop patterns; Temporal and LangGraph are used, with equivalent experience accepted.
- Experience with AI-system evaluation and observability, including tracing, prompt and version management, and dataset-driven testing.
- Cloud deployment experience, preferably AWS, with containerized services and ownership of inference cost.
- B.S. in Computer Science or equivalent practical experience.
- Preferred experience establishing shared data or ML capabilities, fine-tuning or distilling task-specific models, and operating high-volume observability data.
- Preferred familiarity with OpenTelemetry, access control, data lineage, data residency, enterprise SaaS or CMS, and Acquia’s Drupal-based DXP.
- Preferred fluency with AI-assisted development tools such as Claude, Cursor, and Copilot, and MCP or similar agent-to-system connectivity.
- Strong communication skills for presenting AI system designs to engineers and C-suite stakeholders, plus a senior IC track record and organic mentoring ability.
Benefits
- Competitive healthcare coverage.
- Wellness programs.
- Take-it-when-you-need-it time off.
- Parental leave.
- Recognition programs.
- Additional employee and family benefits are provided.
- The role is a hands-on production engineering position; no remote, hybrid, office, or contract logistics are stated.
Categories
About Acquia
Acquia builds an open digital experience platform based on Drupal for enterprises, combining cloud hosting for Drupal sites with CMS, digital asset management, personalization, and data tools. It sells subscription SaaS and managed services for building and operating large, multi-site web properties and content workflows. Founded in 2007 and headquartered in Boston, it is privately held and a major provider of enterprise Drupal hosting and support.