Sr. Software Engineer, Full Stack Agentic AI

Genesys AI Powered Experience Orchestration Engineer 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.

Role Overview Shape how enterprises design and deliver customer experiences by building AI powered applications on top of Genesys Cloud that solve real operational challenges. This role operates at the intersection of product innovation and engineering execution, where ideas move quickly from concept to production and directly impact how businesses engage with their customers at scale. You will work within an innovations team that functions as a product studio, owning ambiguous problems and turning them into usable, high impact solutions deployed through AppFoundry.

You will influence how agentic AI systems are designed, evaluated, and deployed in real world environments, from industry specific virtual agents to compliance tooling and evaluation infrastructure. The role offers visibility into enterprise customer needs, close collaboration with product and solution teams, and the opportunity to shape emerging patterns in LLM driven systems. As part of Genesys, you contribute to a platform that enables organizations globally to orchestrate meaningful customer experiences with empathy and intelligence.

This position provides strong growth exposure across AI application development, distributed systems, and enterprise SaaS, with opportunities to expand technical depth, product thinking, and ownership across increasingly complex systems.

Key Responsibilities Own end to end delivery of AI driven features, from problem framing through design, development, deployment, and continuous iteration in production

Design and build agentic systems that plan, reason, and act using tools and APIs, improving reliability, safety, and observability of LLM powered applications

Develop full stack solutions across React and TypeScript frontends, backend services, and LLM integration layers to deliver cohesive user and system experiences

Translate ambiguous customer problems into scalable product solutions by partnering with product, solution consultants, and enterprise stakeholders

Build and enhance evaluation frameworks that measure quality, cost, latency, and robustness of AI systems under real world conditions

Drive experimentation cycles by rapidly prototyping, testing hypotheses, and iterating based on measurable outcomes

Required Qualifications Approximately 5 or more years of professional software engineering experience, or equivalent demonstrated through shipped products

Strong full stack development foundation across frontend, backend, and API design using TypeScript or JavaScript and one of Java, Python, or Node

Hands on experience building with large language models, including tool calling, structured outputs, retrieval augmented generation, and evaluation techniques

Familiarity with agentic system design, including multi step reasoning, autonomous tool usage, planning structures, and associated failure modes

Experience deploying and operating services in AWS environments, with working knowledge of services such as Lambda, ECS, Fargate, or similar

Demonstrated ownership mindset with the ability to self direct, execute, and deliver results in ambiguous environments

Preferred Qualifications Experience in customer experience, contact center technologies, or AI driven CX platforms

Familiarity with agent orchestration frameworks such as LangGraph, CrewAI, or similar multi agent coordination approaches

Deeper experience with AWS services including Bedrock, Step Functions, SQS, SNS, or infrastructure as code tools such as CDK or Terraform

Background in distributed systems, event driven architectures, and observability practices

Experience building or operating enterprise SaaS platforms, including multi tenancy, access control, and usage metering

Compensation This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities.

$115,500.00 - $203,100.00

Benefits Medical, Dental, and Vision Insurance.

Telehealth coverage

Flexible work schedules and work from home opportunities

Development and career growth opportunities

Open Time Off in addition to 10 paid holidays

401(k) matching program

Adoption Assistance

Fertility treatments

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].

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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.