Senior Software (Backend) Engineer - Agentic AI

Reposted 9 Days Ago
Be an Early Applicant
Budapest, HUN
In-Office
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
The Role
As a Senior Software Engineer, you'll design and implement backend services, ensuring stability, performance, and security for AI-powered products, while collaborating across teams and mentoring others.
Summary Generated by Built In

Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.

We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.

Senior Software Engineer

The Genesys Digital & AI group builds the innovations that power customer experiences for 7,500+ organisations worldwide. As a Senior Engineer you’ll ship clean, reliable backend services and data flows that underpin our Agentic AI products at global scale. You’ll co‑design sane interfaces with AI specialists, keep systems stable and cost‑aware, and help the team deliver secure, maintainable software quickly. We iterate rapidly and aim to deliver valuable applied AI features to as many customers as possible.

 

 

What You Will Do:

  • Own well‑defined services or components end‑to‑end. Design, build, test, deploy and operate backend capabilities (APIs, events/streams, storage, consistency, caching), including on‑call participation and post‑GA care.

  • Deliver features from discovery to GA. Write clear technical docs and contribute to design reviews; break work down sensibly and land change without drama.

  • Build for scale and stability. Implement observability, SLOs, runbooks and back‑pressure/limits; take part in incident response and post‑mortems.

  • Collaborate across teams. Partner with Agentic AI specialists, Product, Security, SRE and Data to design stable interfaces, plan dependencies and ship predictable outcomes.

  • Improve our engineering bar. Write clean, well‑tested code; review PRs; contribute to golden paths/templates, API/event design standards and automated testing.

  • Make pragmatic trade‑offs. Balance latency, reliability, security and cost using measurement (profiling, load testing) rather than guesswork.

  • Security and governance by design. Apply threat modelling, least‑privilege IAM, secrets hygiene and data retention/residency with strong auditability.

  • Communicate crisply. Keep stakeholders in the loop with concise proposals and status updates; turn complex options into clear decisions.

  • Support the team’s growth. Share knowledge, pair program and offer kind, direct feedback; mentor mid‑level and early‑career engineers informally.

 

 

What We're Looking For:

  • Bachelor’s degree in computer science (or equivalent experience).

  • 4+ years building backend or platform software with evidence of strong ownership.

  • Proficiency in Python and/or Java, plus solid foundations in algorithms, data structures and distributed‑systems design.

  • Experience with service and event‑driven architectures (REST/gRPC; Kafka/Kinesis/SQS), schema evolution, idempotency, backwards‑compatible APIs and data modelling.

  • Comfortable with AWS (IAM, networking, DynamoDB/RDS, S3, ECS/Lambda/serverless) and modern DevOps/SRE (CI/CD, IaC, automated testing, observability, runbooks, on‑call).

  • Curiosity about Agentic AI and LLM‑adjacent workloads (tooling, retrieval, evaluation, safety/guardrails) and a willingness to partner with experts in the area.

  • Strong communication skills: able to align with Product and explain complex ideas simply.

  • A growth mindset, healthy pragmatism and a bias‑to‑action.

 

Desirable Experience or an Interest in Learning:

  • Analytics and data tooling, e.g. Apache Spark, Pandas.

  • Batch data processing (Spark/Flink/EMR/Glue) and data quality tooling.

  • LLM systems concepts (tool use/orchestration, retrieval, evals) and cost/latency trade‑offs.

  • Observability at scale: metrics, traces, logs, SLOs and error budgets.

  • Security, privacy and governance of enterprise software.

 

Our team already includes people of many genders, nationalities, ages and backgrounds. Diverse teams build better products, full stop; so if you’re unsure whether you meet every bullet, please apply anyway. We’re keen to hear how your unique experience can strengthen our crew. 

 

If a Genesys employee referred you, please use the link they sent you to apply.

About Genesys:

Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. 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.com.

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 [email protected].

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. 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.

Top Skills

Spark
AWS
DynamoDB
Ecs
Java
Kafka
Kinesis
Lambda
Pandas
Python
Rds
S3
Sqs
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Daly City, CA
6,774 Employees
Year Founded: 1990

What We Do

Every year, Genesys® delivers more than 70 billion remarkable customer experiences for organizations in over 100 countries. Through the power of the cloud and AI, our technology connects every customer moment across marketing, sales and service on any channel, while also improving employee experiences. Genesys pioneered Experience as a Service℠ so organizations of any size can provide true personalization at scale, interact with empathy, and foster customer trust and loyalty. This is enabled by Genesys Cloud™, an all-in-one solution and the world’s leading public cloud contact center platform, designed for rapid innovation, scalability and flexibility. Visit www.genesys.com.

Similar Jobs

Taboola Logo Taboola

Optimization Lead

AdTech • Big Data • Digital Media • Marketing Tech
Hybrid
Budapest, HUN
1900 Employees

Wise Logo Wise

Account Management Specialist

Fintech • Mobile • Payments • Software • Financial Services
Hybrid
Budapest, HUN
8000 Employees
850K-1M Annually

BlackRock Logo BlackRock

Client Service Support, Analyst

Fintech • Information Technology • Financial Services
In-Office
Budapest, HUN
25000 Employees

Wise Logo Wise

Regional EMEA Director of Due Diligence Operations

Fintech • Mobile • Payments • Software • Financial Services
Hybrid
Budapest, HUN
8000 Employees

Similar Companies Hiring

Fairly Even Thumbnail
Software • Sales • Robotics • Other • Hospitality • Hardware
New York, NY
Bellagent Thumbnail
Artificial Intelligence • Machine Learning • Business Intelligence • Generative AI
Chicago, IL
20 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account