Sr. Software Engineer, Full Stack — Agentic AI

Genesys•New York, NY

18h•$115,500 - $203,100•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

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

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