Staff Software Engineer – AI Enablement
Leads the architecture and hands-on development of internal developer platforms, AI-agent workflows, and distributed automation infrastructure. Requires 8+ years of software engineering experience, Staff-level technical leadership, and strong backend, microservices, and event-driven architecture expertise.
About the job
Responsibilities
- Build internal developer platforms, service scaffolding, and automated CI/CD tooling to accelerate software delivery.
- Design multi-agent automation systems and adaptive conversational flows using LangGraph and foundation model APIs.
- Create domain-specific languages (DSLs) and finite-state-machine (FSM) abstractions for complex multi-agent platform tasks.
- Implement near-real-time memory (NRTM) and shared session management for persistent state across developer tools, bots, and internal APIs.
- Build resilient distributed systems using Redis, Kafka, and custom dead-letter-queue (DLQ) bridges.
- Establish AI guardrails, prompt-engineering practices, logging, and safety standards to protect sensitive platform data.
- Instrument microservices telemetry using sidecar patterns, data streams, and automated health checks for Datadog dashboards.
- Mentor engineers, lead architecture reviews, and establish engineering standards for AI agents and platform systems.
- Define and monitor developer-experience metrics such as onboarding time, deployment success rates, and task automation velocity.
Requirements
- Bachelor’s or graduate degree in Computer Science, Software Engineering, or a related technical field.
- 8+ years of professional software engineering experience developing backend systems, distributed architectures, or core platform tools.
- 2+ years operating at a Staff or Principal engineering scope.
- Formal experience mentoring engineers, leading architecture reviews, or serving as the technical lead for a multi-engineer project team.
- Strong hands-on coding skills in Java, Python, or Go.
- Deep experience with microservices architecture, RESTful web services, and event-driven architectures.
Nice-to-haves
- Experience building agentic workflows, multi-agent systems, and LLM integrations with LangGraph, AWS Bedrock, OpenAI API, or Anthropic API.
- Extensive practical experience with Terraform for cloud provisioning, state management, and scalable infrastructure deployment.
- Experience developing DSLs, FSMs, and dynamic agent-routing algorithms.
- Experience with Redis, Kafka, PostgreSQL, NoSQL databases, and streaming platforms.
- Experience with Docker, Kubernetes, and AWS cloud deployments.
- Experience implementing dead-letter queues, sidecar monitoring, automated secret management, and self-healing mechanisms.
- Ability to mentor engineers, influence architectural decisions, and partner with product and security teams.
Compensation and benefits
- Annual base salary: $217565–$260000.
- Base salary excludes bonus, sales incentives, equity, and benefits; final offers may vary based on qualifications, experience, skills, education, training, geographic location, and role.
- Benefits include medical, dental, and vision coverage; health savings and flexible spending accounts; life and AD&D insurance; 401(k) with company match; parental leave; paid time off and company holidays; disability, accident, and critical illness insurance; referral bonuses; employee assistance; pet insurance; travel assistance; wellbeing and childcare discounts; benefit advocacy; and learning and development benefits.
Skills
Java, Python, Go, LangGraph, Aws Bedrock, OpenAI API, Claude API, Terraform, Redis, Kafka, Postgres, Docker, Kubernetes, AWS, Datadog
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