Software Engineer Applied AI Focus

Medellín - Colombia

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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 :

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 Youll 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 youre eager to explore emerging AI tools and frameworks.
Clarity you communicate complex ideas simply and effectively.

Additional Information :

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

Remote Work :

Yes

Employment Type :

Contract

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 :

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 Youll 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 youre eager to explore emerging AI tools and frameworks.
Clarity you communicate complex ideas simply and effectively.

Additional Information :

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

Remote Work :

Yes

Employment Type :

Contract

Key Skills

Spring
.NET
C/C++
Go
React
OOP
C#
Data Structures
JavaScript
Software Development
Java
Distributed Systems

Apply Now

About Company

Exit83

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 cuttin ... View more

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