[Remote] Software Engineer

Note: The job is a remote job and is open to candidates in USA. Ford Motor Credit Company provides financing and related services for Ford and Lincoln vehicles through partnerships with dealerships worldwide. The Software Engineer will build and operate AI enablement capabilities for the Pinnacle Loan Originations platform, including MCP tools, multi-agent workflows, knowledge graph and retrieval systems, backend services, and evaluation automation across mainframe, Java, and Google Cloud environments.

Responsibilities

• Read the whole stack, then change it. Diagnose production issues across the mainframe (COBOL, DB2, CICS), the Java/Spring services tier, and Cloud Run microservices. Ship the fix on the money-path and the corresponding improvement to agent tooling and knowledge substrate in the same change set
• Design and operate the MCP tools layer. Build least-privilege, per-call-audited MCP servers over DB2, Splunk, and GCP. Provenance, PII handling
• Build production multi-agent workflows on Google ADK — SequentialAgent and LoopAgent compositions, creating and managing Agent workflows, including escalation-containment patterns — for Splunk → DB2 → GCP error triage, ADR authoring, and originations debugging
• Own the knowledge graph and retrieval work end-to-end. Model the loan originations ontology (VIN, dealer, offer, program eligibility, environment topology). Implement hybrid vector + graph retrieval. Every RAG-produced answer must be defensible under audit
• Ship deterministic backend services in Java/Kotlin + Spring Boot on GCP — the audit envelope, provenance store, and human-in-the-loop review surfaces where non-determinism is unacceptable
• Author ADRs in ADR-driven-development, OKF business-logic documents, skill files, and Splunk saved-search catalogs. Pair with teammates on the hard debugging sessions. The write-up is part of "done."
• Track mean time from "agent cannot handle this" to "agent handles this autonomously," and publish the trend monthly
• Create evaluations and an evaluation runner for all AI tools and agents built by you and the team
• Publish, monthly, the change types you've made cheaper — mean time from "agent doesn't know this" to "agent handles it autonomously."
• Automate test-case generation, evaluation, and grading for both brownfield and greenfield applications, ensuring coverage, repeatability, and measurable quality improvements

Skills

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field — or equivalent professional experience
• 7+ years building and operating production-grade backend systems as a hands-on engineer
• 5+ years in Python and Java (Kotlin, TypeScript a plus)
• Atleast 1 year of experience in shipping AI-enabled applications in production — agent frameworks, retrieval systems, or LLM-backed services
• Demonstrated experience with agent orchestration frameworks — Google ADK, LangGraph, LangChain, or comparable
• Practical experience implementing MCP (Model Context Protocol) tool integrations, agent communication patterns, and AI observability
• Working experience with vector search and hybrid retrieval, and with knowledge graphs or GraphRAG
• Strong backend fundamentals: Spring Boot, relational databases (PostgreSQL, DB2, or similar) including query and schema design, REST/OpenAPI, TDD, modern CI/CD
• Production experience on Google Cloud Platform (Vertex AI, Cloud Run, BigQuery) or an equivalent cloud
• Comfort operating in complex, multi-tier, legacy-integrated environments where change control and auditability matter
• Candidates for positions with Ford Motor Company must be legally authorized to work in the United States
• Semantic technologies, ontology engineering, or graph databases (Neo4j, Neptune, or similar)
• Experience integrating with mainframe systems (COBOL, DB2 for z/OS, CICS) or comparable long-lived transactional cores
• Splunk SPL proficiency, including saved-search and dashboard authoring on large indexes
• Event-driven architectures (Pub/Sub, Kafka); containerization (Docker, Kubernetes)

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

Company Overview