AI Experience Engineer (Conversational AI)

1 week ago
Full-time
Mid Level
Software Development
Upgrade

Upgrade

Upgrade is a fintech unicorn founded in 2017, offering personal loans, credit cards, and rewards checking. They provide loans up to $50,000 with low fixed rates, free credit monitoring, and quick funding. Upgrade aims to help customers build a secure f...

Banks
201-500
Founded 2016
$307M raised

Description

  • Design and build Sierra Agent Studio journeys for chat, voice, and email from operational discovery through production rollout.
  • Convert servicing workflows, including payments, loan details, address updates, and autopay, into end-to-end AI agent experiences.
  • Review conversation transcripts, recordings, and analytics weekly to identify failures, transfers, and improvement opportunities.
  • Map edge cases and unhappy paths to deliver accurate resolutions or clean handoffs to human agents.
  • Own containment, CSAT, transfer quality, and hallucination-rate targets for assigned journeys.
  • Run staged journey rollouts and prioritize improvements that increase successful self-service resolution.
  • Partner with product teams to scope new journeys, maintain existing flows as products change, and define required APIs.
  • Apply authentication, verification, compliance language, and guardrails against hallucinations and off-policy responses.
  • Design Genesys handoffs with accurate customer summaries and authentication context.
  • Build simulation and regression test suites; monitor latency, errors, and drop-offs in SumoLogic and Grafana.

Requirements

  • 3–5 years of frontend software engineering experience, or equivalent experience in solutions engineering, conversational AI, or technical product roles.
  • Working knowledge of LLM-agent behavior, including instructions, tool calls, knowledge retrieval, and failure modes.
  • Experience evaluating non-deterministic systems through test sets, simulations, LLM-as-judge, and regression gates.
  • Ability to read API specifications and collaborate on REST and GraphQL integrations, authorization, and permission scopes.
  • Working knowledge of JavaScript/TypeScript and ability to build coded journeys and API integrations in conversational AI platforms.
  • Experience with production rollouts, monitoring, log analysis, and incident response.
  • Customer and product mindset, including understanding operational procedures, analyzing transcripts, and measuring successful issue resolution.
  • Clear writing and ability to collaborate with operations, compliance, legal, and other non-engineering stakeholders.
  • Experience with Sierra Agent Studio or comparable no-code agent platforms such as Decagon, Ada, Kore.ai, Google CCAI, or Amazon Lex/Connect (preferred).
  • Experience with voice AI, Genesys or other contact-center handoff systems, fintech or regulated industries, or conversation design/UX writing (preferred).

Benefits

  • Competitive salary of $140K–$180K CAD and stock option plan.
  • Medical, dental, and vision insurance coverage.
  • Flexible PTO.
  • Professional growth and development opportunities.
  • Paid parental leave.
  • Health and wellness initiatives.

Interested in this position?

Apply directly on the company website

Apply Now

Similar Roles

Senior AI Engineer, Agentic Platform

WorkWave 501-1000 Professional Services

Join WorkWave as an AI Engineer to build, evaluate, and operate production agents for AskWaive that help customers make better decisions.

AWS CI/CD dbt Python SQL
11 hours, 25 minutes ago

AI Engineer - 4 Day Week + Remote

Laminar Projects 51-200 Construction & Engineering

Join Shape.Construction as an AI Engineer to build and deploy practical LLM-powered features that improve construction project delivery across its Shape App and Channels products.

Docker Generative AI Kubernetes Machine Learning MLOps Python Transformers
11 hours, 25 minutes ago

AI Engineer

Pavago IT Services

As a full-time remote AI Engineer, you will build, deploy, and continuously improve scalable AI-powered product features and systems during U.S. business hours.

AWS Azure GCP LLM Machine Learning NLP Python PyTorch TensorFlow
14 hours, 40 minutes ago

AI Engineer

Pavago IT Services

As a remote, full-time AI Engineer, build, deploy, and continuously improve scalable AI-powered product features and systems during U.S. business hours.

AWS Azure GCP LLM Machine Learning NLP Python PyTorch TensorFlow
17 hours, 40 minutes ago

You're on a roll! Sign up now to keep applying.

Sign Up

Already have an account? Log in

Used by 14,729+ remote workers