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(352) FASTTEK | (352) 327-8835
Chennai, Tamil Nadu
Back-end Software Development Engineer #1062787
Job Description:
  • Ford Credit IT is seeking a highly skilled Full Stack Developer with Agentic AI capabilities to join our Core Originations Team in Chennai. In this role, you will design, build, and modernize enterprise-grade software applications powering Ford Credit's global credit originations platform.
  • Operating within a Scaled Agile Framework (SAFe) product delivery model, you will leverage modern Java frameworks, microservices architecture, Google Cloud Platform (GCP), modern frontend technologies, and cutting-edge Agentic AI & Generative AI architectures (Spring AI, LangChain4j, RAG, tool calling) to automate complex workflows and deliver intelligent, seamless user experiences.
Skills Required:
Ability to communicate and work with cross-functional teams and all levels of management , Automation, DevOps, AI, Java Full stack, Application Support, Application Testing, Database - DB2/UDB, GCP
Skills Preferred:
  • AI Core Java & Microservices Architecture
  • hands-on experience designing and developing enterprise microservices using Java 17/21+ and Spring Boot (3.x).
  • Deep experience in designing RESTful APIs, OpenAPI specifications, and event-driven architectures (Kafka / RabbitMQ).
  • Expertise in API Security using OAuth2.0, OpenID Connect (OIDC), JWT, Web SSO, and API gateway integrations.
  • Strong proficiency in Relational Databases (Oracle, PostgreSQL, MS SQL) and ORM frameworks (Spring Data JPA / Hibernate).
  • Frontend Development & AI UI/UX:
  • Proficient in React.js with TypeScript, HTML5/CSS3, NPM, and modern state management.
  • Experience implementing real-time streaming interfaces using Server-Sent Events (SSE) or WebSockets for live agent response streaming.
  • Ability to build responsive UI components for chat, Human-in-the-Loop (HITL) approval flows, and interactive AI dashboards.
  • Tooling, Security, DevOps & Process:
  • Strong security mindset with hands-on exposure to code quality and security tools (e.g., SonarQube, 42Crunch, FOSSA, Cycode).
  • Proficiency with development and testing tools: IntelliJ IDEA / VS Code, Postman / Hoppscotch, JUnit 5, Mockito, Testcontainers.
  • Working knowledge of Git, CI/CD pipelines (Jenkins, Tekton, GitHub Actions), and containerization (Docker, Kubernetes).
  • Demonstrated experience working in Agile/Scrum product teams, driving end-to-end delivery across multiple concurrent projects.
  • Excellent logical reasoning, lateral thinking, and written/verbal communication skills.
Experience Required:
  • Engineer 3
  • Exp: Proficient In 2 coding lang. or adv. Prac. in 1 lang.
  • 6+ years in IT;
  • 4+ years in development
Experience Preferred:
  • Hands-on experience integrating Large Language Models (LLMs) into Java applications using frameworks such as Spring AI or LangChain4j.
  • Proven understanding of Agentic Workflows: ReAct framework, Plan-and-Execute agents, dynamic function/tool calling, structured output parsing, and stateful multi-agent systems.
  • Practical experience with Retrieval-Augmented Generation (RAG), embedding models, dynamic chunking, and Vector Databases.
  • Familiarity with AI guardrails, prompt engineering techniques, deterministic fallback logic, and token/cost optimization.
Education Required:
Bachelor's Degree
Additional Info:
  • Core Application Development & Full Stack Engineering
  • Design, develop, and maintain high-performance Full Stack microservices (Java 17+, Spring Boot, React/TypeScript) for Ford Credit Core Originations applications.
  • Design, implement, and manage secure RESTful APIs and API proxies using APIGEE API Management platform in accordance with Ford security standards.
  • Maintain, troubleshoot, and support core Originations applications running on both modern and legacy Java frameworks, ensuring high availability and system resilience.
  • Collaborate with Portfolio Architects to update and align system designs with Ford Credit Build Intent diagrams and Enterprise Architecture standards.
  • Agentic AI & Intelligent Automation Integration
  • Build secure, scalable tool-calling interfaces (via REST/APIGEE) that enable AI agents to safely execute actions across enterprise services.
  • Support PoC initiatives to evaluate emerging Generative AI, multi-agent frameworks, and vector search technologies for Ford Credit IT.
  • Implement robust AI safety guardrails, prompt injection defences, deterministic fallback mechanisms, and cost/token monitoring.
  • Cross-Functional Collaboration, Testing & Operational Support
  • Partner with cross-functional product teams (Ford Credit Global Client team, Skill teams, and Business Operations) to translate complex functional requirements into technical deliverables.
  • Design and execute comprehensive unit, integration, and AI response evaluation tests using JUnit, Mockito, and automated test tools.
  • Provide tier-3 application technical support, root-cause troubleshooting, and resolution for complex production incidents.
  • Support application modernizations, technology upgrades, and cloud migration initiatives across Originations systems.