Software Engineer - Agentic Orchestration

Genesys

Galway

On-site

EUR 85,000 - 115,000

Full time

4 days ago
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Benefits offered by this job

Flexible work options
Annual bonus program
Comprehensive health coverage
Competitive pension plan
Income protection
Life assurance

Job summary

Genesys seeks a backend-focused Software Engineer to work on Agentic Orchestration, turning customer intent into outcomes by reasoning over journey state, policies, and goals. You will own features end-to-end, integrate LLMs, and collaborate with cross-functional teams in a fast-paced, agile environment.

The role requires strong backend development in Java or Python, REST API design, and experience with CI/CD and Git. Galway onsite two to three days per week.

Qualifications

  • University degree in Computer Science, Engineering, Mathematics, Data Science, or related field (or equivalent experience), with minimum 3 years of software engineering experience.
  • Strong backend service development in the team's stack either (Java) or (Python), with strong REST API design and solid understanding of OOP/FP principles, design patterns, data structures, and algorithms.
  • Hands-on experience integrating LLMs from a backend, including generating structured output and handling retries, malformed responses, and non-determinism.
  • Experience integrating across multiple services, including auth and pagination, and normalising data pulled from different sources.
  • RESTful API development, microservices concepts, and hands-on experience with CI/CD tooling and Git version control.
  • Effective communicator who builds stakeholder alignment and thrives in agile teams with active participation in code reviews.

Responsibilities

  • Build the backend services behind an AI-assisted authoring experience that turns natural language into structured, machine-readable plans — the plans that drive an agentic orchestration system's decisioning at runtime
  • Integrate large language models to both generate these plans and automatically validate them, handling structured output and non-deterministic behaviour, and enforce schemas that keep each plan complete, consistent, and ready to power orchestration
  • Integrate with a range of internal services to discover and surface the building blocks authors assemble into their plans, normalising different data sources into a common model
  • Own features end-to-end from design through deployment, working across an agile team and building alignment among multiple stakeholders

Skills

Backend development
Java
Python
REST API design
OOP/FP
LLM integration
CI/CD tooling
Git
Code reviews

Education

University degree in Computer Science, Engineering, Mathematics, Data Science, or related field

Tools

AWS

Job description

Be the one building AI-powered experiences where they matter most.

At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.

Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day.

Location: For this role, we are looking for candidates who are able to work onsite in our Galway office two to three days per week.

Software Engineer – Agentic Orchestration
About The Role

We're a tight-knit, diverse team that believes software innovation is at the heart of creating value with AI, working across the organisation with cutting-edge technologies in a collaborative, supportive culture. We are seeking a backend-focused Software Engineer to work on Agentic Orchestration (AO), which turns a customer's intent into an outcome by reasoning over journey state, policies, and goals to decide and drive the next best action across AI agents, systems, and people.

What You Will Do
  • Build the backend services behind an AI-assisted authoring experience that turns natural language into structured, machine-readable plans — the plans that drive an agentic orchestration system's decisioning at runtime
  • Integrate large language models to both generate these plans and automatically validate them, handling structured output and non-deterministic behaviour, and enforce schemas that keep each plan complete, consistent, and ready to power orchestration
  • Integrate with a range of internal services to discover and surface the building blocks authors assemble into their plans, normalising different data sources into a common model
  • Own features end-to-end from design through deployment, working across an agile team and building alignment among multiple stakeholders
Required Skills & Experience
  • University degree in Computer Science, Engineering, Mathematics, Data Science, or related field (or equivalent experience), with minimum 3 years of software engineering experience
  • Strong backend service development in the team's stack either (Java) or (Python), with strong REST API design and solid understanding of OOP/FP principles, design patterns, data structures, and algorithms
  • Hands-on experience integrating LLMs from a backend, including generating structured output and handling retries, malformed responses, and non-determinism
  • Experience integrating across multiple services, including auth and pagination, and normalising data pulled from different sources
  • RESTful API development, microservices concepts, and hands-on experience with CI/CD tooling and Git version control
  • Effective communicator who builds stakeholder alignment and thrives in agile teams with active participation in code reviews
Desirable Skills & Experience

The following would be great additions but are not required:

  • Experience with AWS
  • MCP (Model Context Protocol): Building servers and exposing tools, as the integration path to other internal services
  • Agentic & Orchestration Patterns: Understanding of state, tools, and planning loops
  • Evaluation & Validation Mindset: Building eval harnesses or testing non-deterministic systems
What We Offer

You'll work on innovative AI solutions that impact millions of users globally, alongside accomplished engineers and researchers invested in your growth. We offer continuous learning in cutting-edge AI/ML technologies, clear paths for advancement with mentorship, and a collaborative, psychologically safe culture that supports work-life balance.

Our Benefits

At Genesys, we’re committed to supporting your well‑being, growth, and work–life balance. Our comprehensive benefits package includes:

  • Flexible work options.
  • Career development & growth – Access continuous learning opportunities, mentoring, and clear paths for advancement.
  • Competitive pension scheme – Invest in your future with an excellent employer-supported pension plan.
  • Annual bonus program – Be rewarded for your impact and contributions.
  • Comprehensive health coverage – Including private health insurance, access to company dental plan, and wellness supports.
  • Financial protection – Enjoy Income Protection and Life Assurance, along with access to dedicated financial planning resources to help you make confident, informed decisions about your future.
  • Family-friendly policies – Generous paid maternity and paternity leave, along with supportive leave options designed for every stage of life.
Working at Genesys
  • AI at enterprise scale – Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year
  • A flexible-first culture – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work
  • Growth in the AI era – Build future-ready skills through mentorship, learning programs, leadership development and education support
  • Time to recharge and give back – Benefits include paid volunteer time, August Free Fridays, well‑being resources and regionally tailored programs for employees and their families
  • Recognized globally – Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys

Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.

About Genesys

Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. Genesys Cloud is the Agentic Orchestration Platform that securely connects people, systems, data and AI across the enterprise with built-in governance and control. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.ai.

Reasonable Accommodations

If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.

You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.

This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response.

Genesys is an equal opportunity employer committed to fairness in the workplace

Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.

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