Sr. Software Engineer, Full Stack - Agentic AI

Genesys Cloud Services, Inc.; Virginia Beach (VA); On-site; USD 116,000 - 203,000; Full time

Job summary

Genesys seeks a Sr. Software Engineer, Full Stack, to build AI-powered experiences on Genesys Cloud. You will shape agentic AI applications, bridging product ideas and production, across React/TypeScript frontends and backend services.

Collaborate with teams to deploy reliable, scalable AI features in real-world environments. You will influence how agentic systems are designed, evaluated, and deployed, contributing to patterns in LLM-driven systems with strong growth exposure in enterprise SaaS

Qualifications

• Approximately 5+ years of professional software engineering experience.
• 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.

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

Skills

LLM development

Agentic system design

Ownership mindset

Full stack development

AWS services

Tools

AWS Lambda

AWS ECS

AWS Fargate

LangGraph

CrewAI

Job description

Sr. Software Engineer, Full Stack - Agentic AI

Sep 16, 2026

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.

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.

This position is not eligible for employer-sponsored work authorization (e.g., H-1B, TN, O-1, or other employment-based visas), now or in the future. Applicants must be legally authorized to work in the United States at the time of application and throughout employment without the need for current or future employer sponsorship.

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

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

#LI-DNI

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

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 andveteran status, and other protected characteristics.

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