Role: Senior Full-Stack Software Engineer (AI-Powered Lending Platform)
Location: Dallas, TX
Work Arrangement: Hybrid (4 days onsite, 1 day remote)
Employment Type: 12-Month Contract with Potential for Contract-to-Hire
Java with some python would be workable
Job Description
Position Overview
We are seeking an experienced Senior Full-Stack Software Engineer to join a high-impact team building a next-generation, AI-powered lending platform. This role offers the opportunity to help modernize loan onboarding and servicing processes through the integration of artificial intelligence, large language models (LLMs), event-driven architectures, and modern application development practices.
The ideal candidate is a hands-on engineer with strong full-stack development experience, a passion for emerging AI technologies, and the ability to quickly translate business requirements into scalable, production-ready solutions. This position will play a key role in developing intelligent applications capable of extracting, interpreting, and leveraging data from complex financial documents to support automated lending workflows.
Key Responsibilities
Full-Stack Application Development
Design, develop, and maintain scalable web applications across the full technology stack.
Build backend services using Java and Python.
Develop responsive user interfaces using Angular and modern front-end development practices.
Deliver high-quality, maintainable, and testable code.
AI-Driven Software Engineering
Utilize AI-powered development tools and coding assistants to accelerate software delivery.
Develop and integrate AI-enabled solutions that support intelligent document analysis and workflow automation.
Prototype and rapidly iterate on new application features using modern AI-assisted development techniques.
API & Event-Driven Architecture
Design, build, and maintain RESTful APIs and microservices.
Develop scalable event-driven solutions using technologies such as Kafka.
Ensure system reliability, performance, and resiliency across distributed environments.
Platform & Data Integration
Integrate applications with enterprise data platforms and cloud-based data services.
Work with structured and unstructured data to support advanced business and AI use cases.
Collaborate on data architecture and platform modernization initiatives.
Ownership & Delivery
Participate in the full software development lifecycle, from requirements gathering and solution design through deployment and production support.
Troubleshoot and resolve complex technical issues.
Contribute to architectural decisions, coding standards, and engineering best practices.
Collaboration
Partner closely with product managers, architects, engineers, and business stakeholders.
Translate functional requirements into scalable technical solutions.
Contribute to an innovative, collaborative, and fast-paced engineering environment.
Required Qualifications
7+ years of professional software engineering experience.
Strong hands-on experience developing enterprise applications in Java and Python.
Experience building modern front-end applications using Angular.
Demonstrated experience designing and integrating REST APIs.
Experience with Kafka or similar event-streaming technologies.
Experience working with Snowflake or comparable cloud data platforms.
Strong understanding of software engineering fundamentals, object-oriented design, distributed systems, and application architecture.
Experience leveraging AI-assisted development tools and coding agents to increase engineering productivity.
Proven ability to deliver production-ready solutions in agile environments.
Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Ability to work independently and manage multiple priorities in a fast-paced environment.
Preferred Qualifications
Experience within financial services, banking, capital markets, lending, or loan servicing environments.
Knowledge of credit agreements, loan processing, or structured credit products.
Experience with Retrieval-Augmented Generation (RAG), prompt engineering, AI/ML integrations, or AI-powered document intelligence solutions.
Experience developing containerized applications using Docker and Kubernetes.
Experience contributing to greenfield product development or emerging technology initiatives.
Familiarity with cloud-native architectures and distributed systems.
Technical Skills
Backend Technologies
Java
Python
REST APIs
Event-Driven Architecture
Kafka
Frontend Technologies
Angular
TypeScript
HTML/CSS
Snowflake
Distributed Data Systems
AI & Modern Development Tools
AI Coding Assistants
LLM-Based Development
AI-Driven Software Engineering Practices
DevOps & Infrastructure (Preferred)
Docker
Kubernetes
CI/CD Pipelines
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