19 days ago
Remote, United StatesStaff+
Base Salary
$145k - $159k/yr
Responsibilities
- Write and ship production AI code daily as an active contributor.
- Architect stateful, cyclic, multi-agent workflows using LangGraph, Temporal, and Pydantic.
- Own AI observability through LangFuse, including tracing, prompt versioning, evaluation, and performance benchmarking.
- Set engineering standards for agent design patterns, RAG, prompt management, context optimization, and tool-calling strategies.
- Partner with product and platform teams to deliver AI architectures meeting enterprise SLA, security, and compliance requirements.
- Evaluate emerging LLM providers, orchestration frameworks, and agentic-stack tooling.
- Mentor engineers through code reviews, pairing sessions, and design discussions without management responsibilities.
- Represent Acquia’s AI capabilities in customer architectural reviews, technical discovery, and roadmap conversations.
Requirements
- 8+ years of software engineering experience, including 3+ years of production experience with AI agents.
- Hands-on expertise with LangGraph, Temporal, Pydantic, and LangFuse.
- Experience with agent harness frameworks such as LangChain, LlamaIndex, or CrewAI.
- Deep Python proficiency and strong engineering fundamentals, including testing, CI/CD, and architecture.
- Cloud AI deployment experience with AWS, Azure, or GCP, including containerization and inference cost management.
- Knowledge of RAG architecture, vector databases, embedding models, and retrieval strategies.
- B.S. in Computer Science or equivalent practical experience.
- Experience with enterprise SaaS or CMS is desired, including familiarity with Acquia’s Drupal-based DXP.
- Fluency with AI-assisted coding tools such as Copilot, Cursor, or Claude is desired.
- Familiarity with persistent agent runtimes such as OpenClaw and Hermes Agent is desired.
- LLM fine-tuning or model evaluation experience and awareness of foundational model tradeoffs are desired.
- Experience with human-in-the-loop, interrupt-driven agents and enterprise design is desired.
- Strong communication skills for presenting AI system designs to engineers and C-suite stakeholders are desired.
- A senior individual-contributor track record with high-quality code and system designs and organic mentoring is desired.
Benefits
- Competitive healthcare coverage.
- Wellness programs.
- Take-it-when-you-need-it time off.
- Parental leave.
- Recognition programs.
- Additional benefits for employees and their families.