Software Engineer - Applied AI Focus

EXIT83, a leader in custom software development and AI innovation, delivers advanced software solutions for strategic, growth-focused initiatives. Positioned at the nexus of business and technology, our presence spans 12 countries, reflecting our global commitment to delivering cutting-edge technologies. With nearly 20 years of experience, we offer our expertise to a diverse clientele, from Fortune 500 companies, major government contractors to startups. Our team, which includes former Microsoft engineers, brings deep experience in development, strategy, and systems integration.  At EXIT83, we're more than participants in the technology sector; we're driving its evolution, ensuring every project we undertake is a step towards a more innovative future.

This is an opportunity to join a fast-moving AI and automation company focused on transforming the mortgage underwriting process. The team builds intelligent systems that streamline decision-making, reduce friction, and scale lending operations through applied AI and automation.

Key Responsibilities

Applied AI

• Develop, test, and deploy AI-driven capabilities using structured extraction and workflow orchestration.

• Design systems that combine LLM-based parsing, validation, and decisioning to ensure reliability and transparency.

• Create evaluation and monitoring tools to measure system accuracy and performance.

• Balance rapid prototyping with long-term maintainability and system health.

• Select the right approach (LLM, agentic, ML, or procedural) for each problem to maximize simplicity and reliability.

ML Ops

• Implement data quality, lineage, versioning, and reproducibility best practices.

• Build and operate pipelines for model training, deployment, and rollback.

• Develop APIs, feature stores, and integrations for scalable infrastructure.

• Maintain strong observability through logging, metrics, and alerting.

Full-Stack Engineering

• Build secure and scalable APIs and services using TypeScript and NestJS on AWS.

• Contribute across the stack as needed in a fast-paced startup environment.

Technical Leadership

• Document and communicate architecture and design decisions clearly.

• Participate in code reviews and pair programming, fostering technical excellence across the team.

Qualifications

• 7+ years of professional software engineering experience, including production ML systems.

• Hands-on experience in MLOps or strong interest in learning these practices.

• Familiarity with agentic AI frameworks (e.g., LangGraph, LangChain) and LLM orchestration tools.

• Proficiency with AWS (ECS/Lambda, RDS/PostgreSQL, S3, CloudFront) and Infrastructure-as-Code (CDK preferred).

• Proven ability to navigate ambiguity, make pragmatic trade-offs, and deliver quickly.

• Excellent communication skills and comfort working in a remote-first environment.

• Experience in regulated industries such as lending or finance is a plus.

• Prior startup or small-team experience with broad technical impact preferred.

What You’ll Bring

• Ownership mindset — you take responsibility and see projects through to completion.

• Bias for action — you move fast, iterate, and ship often.

• Pragmatic craftsmanship — you know when to prototype and when to harden.

• Curiosity — you’re eager to explore emerging AI tools and frameworks.

• Clarity — you communicate complex ideas simply and effectively.

• 100% Remote from Central and South America
• Continuous learning sponsorship
• MS Certifications
• Inclusive and collaborative community for creative growth.