Senior Software Engineer

About This Opportunity

Our talent team at Get A Job.ai is representing a confidential SaaS organization that is building next-generation revenue automation capabilities. We are seeking a Senior Software Engineer to architect and scale an AI-powered deal desk product. In this high-impact individual contributor role, you will build resilient, high-throughput Java microservices alongside the underlying AI agent infrastructure—the runtime scaffolding, execution loop, tool dispatch system, and state management engine that converts LLMs into reliable, enterprise-grade automation.

Location: Foster City, CA (hybrid model—onsite three days per week required; not a fully remote position)

Responsibilities

• Agent Harness Engineering: Build and own the core agent harness layer, including execution loops, state persistence, dynamic prompt assembly, output schema validation, and retry mechanisms
• Tool Dispatch & Sandboxing: Design safe tool-execution runtimes and schema-validated function dispatchers that allow agents to execute complex deal operations, policy checks, and pricing adjustments securely
• Context & Memory Management: Engineer context compaction, session management, and long-term memory retrieval pipelines (RAG/vector search) to maintain coherence during multi-turn interactions
• Guardrails & Feedback Loops: Build computational and inferential feedback sensors, evaluators, deterministic policy validators, and verification checks to enforce strict business rules and compliance requirements
• Backend Architecture: Design low-latency, event-driven Java microservices to support the harness, driving state transitions, audit logs, and platform integrations
• Technical Leadership: Set technical standards for agent infrastructure design, drive evaluation-driven development practices, and mentor senior engineers across teams

What We're Looking For

Required:

• 8+ years of hands-on experience in modern Java (17+), JVM internals, concurrency models, Spring Boot, and cloud-native distributed architecture
• Deep experience building infrastructure surrounding LLMs—agent loops, state-machine tracking, tool calling/dispatch systems, context window management, and structured output parsing
• Practical experience with agentic frameworks such as LangGraph, CrewAI, AutoGen, LlamaIndex, or custom agent orchestration runtimes and vector databases (Pgvector, Pinecone)
• Strong background in event-driven architecture (Kafka/RabbitMQ), high-performance caching (Redis), relational databases (PostgreSQL/MySQL), and REST/gRPC API design
• Experience with AWS, Docker/container isolation, Kubernetes, and securing agent execution pathways against improper tool invocations or prompt injection

Preferred:

• Production experience with Amazon Bedrock Agents (Action Groups, Knowledge Bases, Multi-Agent Collaboration) and Guardrails for Amazon Bedrock
• Experience with AWS Lambda, Step Functions, DynamoDB, and ECS/Fargate for isolated tool-execution environments and agent workflow orchestration
• Familiarity with continuous agent monitoring, trace/span evaluation frameworks, CloudWatch, and LLM-as-a-judge pipelines for non-deterministic applications
• Experience in enterprise deal desk operations, revenue operations, quote-to-cash workflows, dynamic pricing engines, or high-volume SaaS approval chains

How We Work With You

When you apply through Get A Job.ai, one of our specialized recruiters will review your profile and conduct an initial screening. If there's a strong match, we will submit your candidacy to our client for consideration. Please do not attempt to contact the client directly, as all communication and coordination will be managed through our recruiting team to ensure the best experience for everyone involved.

Pay

This role does not include publicly disclosed compensation details at this time. Compensation will be discussed during the screening process and will be competitive with market standards for senior software engineering roles with AI infrastructure expertise.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome candidates from all backgrounds and provide reasonable accommodations throughout our recruitment process.