Senior AI/ML Developer (Costa Rica)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 5d ago
The date the source published, not the day we noticed it (2026-10-05). Last seen at its source just now.
We have tracked this listing since 5 Oct 2026 (5 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Costa Rica
The description agrees: it names Costa Rica.
What the ad says
…candidates must reside in and be authorized to work in Costa Rica…
Pay not stated
Similar roles pay $165k–229.9k/yr
Middle 50% of 2358 listings that do state pay — Engineering · Senior · Americas · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Ashby employer's own board first seen 5d ago · last seen just now
The listing
We're looking for a talented and versatile Senior AI/ML Developer with strong experience building GenAI applications, AI agents, and Python-based applications to join our team. In this role, you'll take ownership of AI and software solutions from design through production, with a focus on agentic applications, LLM integrations, evaluation, APIs, and scalable application architecture. You'll work closely with product managers, engineers, QA, and other stakeholders to design, build, test, and deploy solutions for our clients. If you're passionate about AI, building practical LLM-powered applications, scalable software, and using modern AI frameworks to solve complex problems, we'd love to hear from you.
We are 100% remote, but candidates must reside in and be authorized to work in Costa Rica.
Responsibilities:
Design, build, test, and maintain GenAI applications, AI agents, and agentic workflows using Python and modern AI frameworks.
Build and deploy AI agents using frameworks such as Strands and AWS Bedrock AgentCore.
Design and implement LLM-powered applications using appropriate model selection, RAG architectures, vector databases, and knowledge bases.
Develop and maintain APIs and backend services using Python, including RESTful APIs and microservice architectures.
Develop prompt engineering strategies and evaluate LLM and agent responses using appropriate evaluation frameworks, metrics, and testing methods.
Design and maintain document processing and data workflows, including PDF extraction, document transformation, structured output generation, and computer vision-based processing.
Build and maintain knowledge bases and vector database implementations to support AI applications and retrieval workflows.
Optimize AI and application architectures for performance, including reducing system latency and managing infrastructure and model costs.
Implement secure authentication and authorization for APIs, services, and application integrations.
Contribute to CI/CD pipelines, automated testing, monitoring, logging, deployment, and production support.
Troubleshoot complex issues across AI applications, agents, APIs, integrations, data workflows, and supporting infrastructure.
Work with cross-functional teams to understand business requirements, evaluate technical approaches, and deliver reliable AI-powered solutions.
Qualifications:
5+ years of professional software development experience, with strong experience in Python.
Hands-on experience developing GenAI applications, LLM-powered applications, or AI agents.
Strong experience with Python, API design, RESTful APIs, and backend application development.
Experience building and deploying AI agents using agentic frameworks, particularly Strands.
Experience with AWS Bedrock AgentCore or similar platforms for deploying and managing AI agents.
Strong understanding of LLM application patterns, including model selection, RAG architecture, prompt engineering, and vector databases.
Experience with LLM response evaluation, including evaluation frameworks, metrics, testing strategies, and evaluation methods.
Experience building knowledge bases and document processing pipelines, including PDF extraction, document transformation, or similar workflows.
Experience with vector databases and integrating retrieval capabilities into AI applications.
Experience with microservices architectures, secure authentication and authorization, and application integrations.
Experience maintaining CI/CD pipelines and implementing automated testing and deployment practices.
Experience with monitoring and logging solutions for application performance, troubleshooting, and production support.
Experience optimizing application or AI system performance, including latency and cost efficiency.
Strong problem-solving skills, with the ability to understand complex technical systems and make sound engineering decisions.
Strong communication and collaboration skills and the ability to work effectively in an Agile, cross-functional environment.
Ability to work independently, take ownership of complex initiatives, and continuously learn new AI and software engineering technologies.
Nice to Have:
Experience with AWS services used to build and deploy AI applications.
Experience with computer vision, image processing, or curve digitization.
Experience with advanced document processing and data extraction workflows.
Experience building production-grade AI agents and multi-agent systems.
Experience with AI evaluation platforms or custom evaluation frameworks.
Experience modernizing existing applications or integrating AI capabilities into established software systems.
Benefits:
This is a full-time position with the following benefits:
Competitive Base Salary - Great work deserves great pay. Our salaries cover a 40-hour work week, and we also offer optional paid overtime for this position.
Optional Paid Overtime - At JBS, overtime is never required, but if you choose to work additional hours beyond 40 in a week, those hours are compensated at an overtime rate. The decision to take on extra work is entirely employee-driven; we respect your time and encourage a balance that works best for you.
Private Health Insurance - In addition to CCSS coverage, we provide private medical insurance to give you faster access to care and expanded provider options for you.
Paid Time Off - Take the time you need to rest and recharge. We provide paid vacation plus paid public holidays.
Fully Remote - We’ve always been (and always will be) 100% remote.
All JBS roles are fully compliant with Costa Rican labor law, including but not limited to:
CCSS Enrollment (Caja Costarricense de Seguro Social). This ensures access to Costa Rica’s national healthcare system, disability coverage, and pension benefits.
Aguinaldo (13th Month Bonus) - Employees receive the legally required annual Aguinaldo bonus, paid in December.
This is a full-time position with the following benefits