Senior AI Platform Software Engineer (Java, Spring Boot, LLMs)
Location ā Mountain View , CA – Onsite
Exp: 10+
Job Description
Design and build the multi-agent execution orchestration and cross-platform execution-caching infrastructure that Pathfinder’s scale and LLM cost efficiency depend on.
Drive significant technical initiatives end-to-end, from functional requirements through technical specification, test planning, and production rollout.
Act as the technical subject matter expert on agentic execution systems ā lead a small team through hard, unprecedented programming and design problems.
Prototype and validate proofs of concept quickly; use AI-assisted development tools fluently as part of your own workflow, not just as a subject you build for.
Generate technical documentation that communicates architectural and design tradeoffs clearly to both engineering teams and business stakeholders.
Operate in Agile/Scrum cadences while retaining the independent judgment to make calls the backlog hasn’t anticipated yet.
Qualifications
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience; 3+ years building cloud-based platforms or services.
8+ years developing systems/software for large-scale environments (Java, Springboot), with demonstrated ability to design for scale quickly rather than needing a decade to build the instinct.
Hands-on experience building with AI: you’ve shipped something using LLM APIs, agentic frameworks, or AI-assisted coding tools as a core part of the system, not as an add-on . Comfortable reasoning about prompt-driven execution, model behavior under load, and the failure modes that come with non-deterministic systems.
Fluent daily user of AI-assisted development tools (Claude Code, Cursor, Copilot, or similar) ā this role expects you to build faster because of AI, and to bring that instinct to designing infrastructure where AI agents are the primary actor.
Practical experience with microservices and messaging technologies (Micro services, REST, GraphQL, Kubernetes, Kafka, ActiveMQ) and database design across SQL (MySQL) and NoSQL (DynamoDB, Cassandra).
Some exposure to the cost/performance mechanics of running LLMs in production ā rate limits, token economics, caching strategies, orchestration patterns ā is a strong plus even without years of tenure in the space, since almost nobody has years of tenure here yet.
Strong CS fundamentals: data structures, algorithms, and system design intuition that holds up with no reference architecture to copy.
Working knowledge of TDD and SDLC practices, with the judgment to know when rigor matters and when speed does.
Contact Information
Email: geetu@spiceorb.com
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