AviaryAI

Location: Hybrid — Chicago, IL (3+ days in office required) Job Type: Full-time W-2 employee, subject to a 90-day introductory period Salary and equity commensurate with experience and performance About AviaryAI AviaryAI is transforming how financial institutions engage their customers. Our best-in-class voice agents enable credit unions, banks, and insurers to communicate effectively with members at scale while meeting rigorous compliance requirements. We are backed by Y Combinator and rapidly growing, with clients across financial services. Our voice agents have made millions of calls — talking to real people, handling real financial situations, and outperforming human agents on most deployed use cases. About the Role This role exists to ensure clients see meaningful results in production quickly, consistently, and at scale. We need someone who brings structure to complex deployments, translates business objectives into clear execution plans, and accelerates time from kickoff to measurable value. The right person in this role will own the post-sale journey and aggressively unlock value for our clients at each stage: from implementation to long-term impact. What You Will Do Own Client Outcomes: You will be responsible for turning deployments into measurable business results. You’ll align on success criteria early, ensure smooth launches, and execute optimizations until performance targets are met and sustained. Lead AI Deployments End-to-End: Design, configure, and launch AI agents aligned to client objectives. Shape prompts, workflows, integrations, and guardrails to ensure agents perform reliably in real production environments. Create Repeatable Deployment Systems: Improve onboarding frameworks, document best practices, and refine internal processes so implementations become faster, more predictable, and easier to scale. Cross-Functional Problem Solving: Collaborate with Engineering to resolve technical issues and maintain production performance, translating system behavior into clear business implications and next steps. Strengthen and Expand Client Partnerships: Identify opportunities for improvement and expanded use cases based on performance data and evolving needs. Inform Product Through Real-World Insights: Surface structured feedback from production environments to engineering and product teams to improve reliability, usability, and overall impact. What We Are Looking For Must-Haves: High-Agency Mindset: Takes initiative without waiting for direction. You proactively identify key outcomes, make a plan, and follow through to ensure measurable results. Technically Fluent: Experience with prompting and evaluating AI outputs. You have a conceptual understanding of data flows and how systems integrate. Strong Communicator: Communicates effectively to both technical teams and executives by simplifying complexity without losing nuance. Client Advocacy: Able to quickly build trust and navigate competing priorities. Proven ability to develop long-term relationships. Adaptable Under Pressure: Skilled in resolving complex issues in dynamic, high-stakes environments. Rapid Learner: Quickly grasps new concepts, tools, and domains, accelerating the path to impact and staying ahead in evolving technical and business contexts. Thrives in Fast-Paced Environments: You are energized by environments where priorities shift quickly, stakes are high, and your work makes a visible impact. Nice-to-Haves (but not required): 1 - 3 years of experience in implementation, client success, operations, QA, or support. Experience in fintech, insurance, or financial services Experience in conversational AI, voice workflows, or contact center technology. Why You’ll Love This Role You get to shape AI systems that are helping millions of people navigate their financial lives. You’ll be a part of a small, elite team where your contributions have a measurable impact on AviaryAI’s growth trajectory and direction.

Location: Hybrid- NYC (3+ days in office required) Type: Full-time W-2 employee, subject to a 90-day introductory period Salary and equity commensurate with experience and performance About the Role You will own Aviary's connectivity layer: the integrations that move data between our platform and the systems of record our clients run on - banking cores (Jack Henry, Fiserv, etc.), loan origination systems, and core middleware platforms. You'll also own the other side of the equation: Aviary's external API surface, which clients and partners use to push data in and pull results out. This is a builder role, not a project-management role. You'll spend most of your time writing code -Python services, data pipelines, transformation logic, API endpoints - and the rest working with client technical teams to get integrations live and keep them healthy. You'll be the first dedicated integrations hire and the in-house authority on how credit union systems actually behave in the wild You'll report to the CDO and work closely with engineering, infrastructure, and our Customer Success & Delivery team. What You'll Own Build and maintain core & LOS integrations. Design, develop, and operate the connections between Aviary and client systems of record- real-time core API integrations, batch file exchanges (fixed-width, pipe-delimited, CSV), and everything in between. Own data mapping, transformation, validation, and reconciliation for member, account, loan, and contact data. Own Aviary's external API. Take charge of our client-facing API surface: endpoint design, versioning, authentication, documentation, and developer experience. Keep our external docs accurate and make our API the easiest part of any client's integration project. Support client integration projects. Serve as the technical counterpart to client IT teams and core/middleware vendors during implementation - scoping data requirements, reviewing sample files, debugging connectivity, and certifying integrations through core vendor programs. Harden the pipeline. Build monitoring, alerting, retry logic, and data quality checks so integration failures surface before they disrupt call campaigns. Triage and resolve production integration issues - malformed files, schema drift, credential expirations - with urgency and a paper trail. Codify the patterns. Turn one-off integration work into reusable connectors, internal tooling, and documentation so each new client onboards faster than the last. What We're Looking For 2+ years of hands-on integration or backend engineering in legacy systems, including work with legacy formats and protocols - SOAP/XML/WSDL, fixed-width and delimited files, SFTP, and batch scheduling. Modern tooling is great; our clients' systems don't always agree. Direct experience integrating with at least one banking core - Jack Henry, Fiserv, etc. - via APis (SOAP or REST) and/or batch file exchange. You know what a core conversion weekend feels like, at least secondhand. Strong API fundamentals: REST design, authentication patterns ( OAuth, API keys, SAML/SSO awareness), webhooks, versioning, and writing documentation developers actually use. Fluent SQL and comfort working with relational data models for members, accounts, loans, and transactions. Experience with Postgres is a plus. Clear, patient communication with non-engineering audiences - client IT staff, core vendor support, and our CSD team. You can explain a GUID format mismatch to someone who has never seen one. Sound judgment with sensitive data. Our clients are regulated financial institutions; you treat member data accordingly and are comfortable working within SOC 2, GLBA, and NCUA-adjacent compliance expectations. Nice to Have Experience with loan origination systems or lending data workflows. Familiarity with CUFX or core middleware/connectivity platforms. Experience going through a core vendor certification or integration program. AWS experience (Lambda, ECS/EKS, Secrets Manager, S3) and CI/CD w

Location: Hybrid- NYC (3+ days in office required) Type: Full-time W-2 employee, subject to a 90-day introductory period Salary and equity commensurate with experience and performance About AviaryAI We build AI voice agents for banks, credit unions, and insurers. Our agents are live and handling real customer calls today. We’re backed by Y Combinator and growing. We started with voice. Our SMS and RCS agents began as clones of the voice product — and they’re growing fast. Messaging is becoming a major part of our platform, and it needs a dedicated owner The Role You’ll be a full stack engineer working across our platform — and you’ll head the engineering effort on our SMS and RCS expansion.  This means:  Leading the engineering effort to evolve our SMS and RCS agents from voice-agent clones into a messaging-native product — rich cards, suggested replies, media, session handling  Writing the backend logic that manages conversation state and decision-making (Python)  Building internal dashboards and tools to configure and debug agents (TypeScript)  Contributing to our core frontend application as needed  Integrating with messaging providers and carrier infrastructure — delivery, 10DLC, opt-in/opt-out  Debugging real production issues when things break  You’ll own the messaging vertical from prototype to high-volume production.  This is not a ticket-driven role. You’ll have a lot of responsibility and a lot of autonomy.  What We’re Looking For 1–3 years full stack experience (new grads welcome)  Strong in Python  Comfortable in TypeScript / modern frontend frameworks  Experience building systems with real state or multi-step workflows  Comfortable integrating third-party APIs  Able to work without detailed specs   Bonus if you’ve worked in: Startups  Fintech / insurance  Messaging or telephony systems (Twilio, Telnyx, Bandwidth, SMS compliance)  LLM applications (prompting, agent frameworks, evals)   What This Is Like You won’t just be building CRUD endpoints.  You’ll be building systems that:  Decide what to say next in a live conversation — hours or days after the last message  Enforce business rules and compliance requirements (TCPA, carrier filtering, quiet hours)  Handle messy, real-world edge cases  Run thousands of concurrent conversations reliably   Your code will power real conversations with real customers — and unlike voice, every word is in writing.

Location: Hybrid- NYC (3+ days in office required) Type: Full-time W-2 employee, subject to a 90-day introductory period Salary and equity commensurate with experience and performance About the Role  Aviary AI is looking for a Software Engineer focused on QA and test automation (90-day probationary period) to own quality across our voice agent and software deployments. You’ll sit at the edge of our deployment cycle with real authority over what ships — starting hands-on with manual QA, then building the tooling that automates it, and ultimately owning the systems that keep our agents reliable as we scale.  The Objective  Own quality for our voice agent and software deployments, and automate as much of that QA as possible. You start by manually QA’ing deployments using our existing tooling, then build the systems that make most of that manual work disappear. Once those systems exist, you own and run them.  The Arc of the Role  This role has a clear progression:  Manual QA (now). Run quality checks on voice agent deployments using our in-platform QA suite in Aviary Web (chat, voice, and adversarial testing) plus standard testing for our software releases. Get deep on where deployments break and what “ready to ship” actually means.  Build the automation. Turn that manual process into tooling. Extend our adversarial testing framework (Blue-Jay) and our automated campaign-review agent (Coach) so the bulk of QA runs without a human in the loop.  Own the systems. Once the automation is live, your job becomes managing and evolving these codebases — keeping Blue-Jay, Coach, and the Aviary Web QA suite sharp as our deployment volume grows.  Responsibilities  Own the quality bar for voice agent and software deployments — you decide what ships, what waits, and what needs more work.  Design and maintain automated test and evaluation suites across our voice agent stack and standard software pipelines.  Build tooling that replaces manual QA, focusing on automation, scalability, and reliable release gating.  Take part in the design and architecture of testing and evaluation infrastructure across the product.  Help shape team culture, internal tools, and the processes around how we ship.  What You’ll Work With  Aviary Web QA suite — the in-platform testing tools (React/Next.js, TypeScript) covering chat, voice, and adversarial testing of agent configs, with automated grading against success definitions.  Blue-Jay — our adversarial testing framework (Python) that generates customer personas and runs text and phone battles against agents to probe edge cases and failure modes.  Coach — our run-to-completion agent (Python) that reviews campaigns, analyzes flagged calls, proposes config changes, and validates them through Blue-Jay before reporting to human reviewers.  Qualifications  BA/BS in Computer Science, Engineering, or a related field.  1–3 years of software development experience (including internships); strong new grads will be considered.  Proficiency in React/Next.js, with experience building responsive, scalable web applications.  Strong general programming ability — Python and TypeScript both matter, since our stack spans both.  Familiarity with AWS services (e.g. EC2, S3, Lambda, ECS) and cloud architecture for deploying scalable solutions.  Familiarity with relational databases, particularly PostgreSQL and SQL Server, including writing and optimizing queries.  Excellent problem-solving skills and the ability to work independently in a fast-paced startup environment.  Nice to Haves  Experience with test automation, CI, or evaluation frameworks. Work in natural language processing, machine learning, recommendation systems, or large-scale production search/ranking systems. Prior experience with LLM or voice agent evaluation and adversarial testing. UX/UI experience a plus (i.e. Figma).  What We Offer Equity Hybrid work - 3+ days in our NYC office Health, dental, and vision coverage Unlimit