Senior AI Engineer - Agent Implementation at Edify Software Consulting

San Antonio, Alajuela Province, Costa Rica -

Full Time

Start Date

Immediate

Expiry Date

21 May, 26

Salary

0.0

Posted On

20 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, LLM-based Agents, Agent Orchestration, State Machines, Graph-based Flows, API Integration, Observability, Testing, Debugging, REST APIs, CI/CD, Docker, Cloud Computing, Git, Error Handling, Technical Documentation

Industry

Software Development

Description

Company Description Hello, we are Edify we're a consolidated technology services consulting firm specializing in education technology. We deliver unbelievably creative and rock-solid solutions for a wide range of clients, including major corporations, startups, educational institutions, and non-profit organizations. At Edify we believe that bored employees make boring products. Here, there's no such thing. We help our clients design, build and run some of the most interesting ventures in the industry while promoting a warm, friendly and cooperative culture. Work and life should be balanced, so we're serious about cultivating a great work environment. Job Description Role Objective Responsible for analyzing, designing, developing, maintaining, and ensuring the quality, reliability, and observability of artificial intelligence agents implemented in Python, within a previously defined architectural framework. This is a highly hands-on role, execution-focused, with technical autonomy to define agent behavior, flows, orchestration, and tools, while supporting and guiding other team members when required. Key Roles, Responsibilities, and Functions Implement AI agents primarily in Python, following established architectural principles and guidelines Translate product requirements and workflow definitions into concrete agent behaviors Design and implement agent flows based on graphs, state machines, and/or tool-based orchestration frameworks Define and develop state transitions, error handling, retries, and failure recovery mechanisms Integrate agents with internal tools, APIs, external services, and structured data sources Ensure agents are observable, testable, and production-ready (logs, metrics, traces) Design and implement unit tests, integration tests, and agent behavior tests Verify correct execution of automated tests and keep them aligned with code evolution Collaborate with product, platform, and architecture teams to validate assumptions and technical decisions Rapidly iterate on agents based on real usage, feedback, and operational metrics Document technical and process-related aspects (agent flow diagrams, technical decisions, README files, internal documentation) Actively participate in code reviews and serve as a technical reference for best practices Define and adhere to quality standards, maintainability, and code structure related to agent development Key Accountability Areas Achievement of technical and delivery objectives Correct and stable implementation of AI agents in production Code quality, maintainability, and clarity of Python code Observability and reliability of agent behavior Compliance with service-level agreements Effective collaboration with internal teams and stakeholders Qualifications Academic Background Technical degree or Bachelor’s degree in Computer Engineering, Computer Science, Software Engineering, or related fields, or equivalent knowledge demonstrated through professional experience. Language Technical and conversational English, minimum B2+ level according to the Common European Framework of Reference (CEFR). Core Competencies Connection, vision, empowerment, technical judgment, and initiative. (Expected behaviors for each competency are defined internally.) Professional Experience and Technical Skills Minimum of 5 years of experience developing production-grade software systems Strong experience with Python for backend or systems development Hands-on experience building LLM-based agents or complex language-model-driven workflows Experience with agent orchestration frameworks based on graphs or state machines (e.g., LangGraph or similar) Experience integrating LLMs with tools, APIs, and structured data Ability to work within clearly defined architectural constraints Strong debugging and observability mindset (logs, metrics, traces) Quality Assurance and Best Practices Code testing, linting, and static analysis Design patterns applied to agent flows and behavior Best development practices for efficiency, quality, and maintainability Structured error handling and retry mechanisms Technical documentation (diagrams, README files, agent flows) Integration and Architecture Integration of software services and components REST APIs Real-time data handling Experience working alongside service-oriented backend systems (including Java ecosystems or others) Platforms, Tools, and Technologies Proficiency with *nix shells (bash, sh, zsh, etc.) Git Branching strategies (GitFlow, trunk-based development, etc.) CI/CD tools (GitHub Actions, GitLab CI, etc.) Containers (Docker, Podman, etc.) Cloud computing services (AWS, GCP, Azure, etc.) Languages and Runtimes Programming languages (at least one): Python (required) JavaScript / TypeScript (preferred) Runtime platforms: CPython Preferred Experience / Bonus Experience with AgentCore or other managed agent runtimes Experience with multiple agent frameworks (LangChain, AutoGen, CrewAI, Strands, etc.) Design of deterministic flows combined with open-ended reasoning Session management, memory handling, and summarization patterns Experience with async Python, concurrency, or event-driven systems Additional Information Benefits 100% work remote from any part in Costa Rica. Digital Nomad. Monthly Internet connectivity allowance. Private health insurance for employees (90/10), 50% for beneficiaries (spouse and children). International Health Insurance. Marriage leave. Bereavement leave. Sick days. Ergonomic equipment. Educational assistance (courses, certifications, books). Life insurance for employees. $800 referral bonus. Personal support through our wellness department. Dental insurance. Optical insurance. Snacks and beverages if you want to work at the office. Free Parking. Meal allowance if you want to work at the office. Flex time Our Career Development Manager ensures ongoing, tailored support for each employee’s growth and career progression. We reward the impact that goes beyond the expected — through “Good Vibes Great Impact”, our peer recognition program that celebrates meaningful contributions. Good times and a sense of community—that’s what our team building activities are all about. Edify is proud to be an equal-opportunity employer committed to diversity and inclusion. We encourage all candidates to apply regardless of their sex, gender identity, sexual orientation, race, color, religion, national identity, disability, age, medical condition, pregnancy, marital status, family status or any other characteristic protected by law.

Responsibilities

The role is responsible for analyzing, designing, developing, maintaining, and ensuring the quality and reliability of artificial intelligence agents implemented primarily in Python within a defined architectural framework. Key functions include translating requirements into concrete agent behaviors using graphs or state machines, defining error handling, and ensuring agents are observable and production-ready.