AI Engineer (Voice AI) - Full-time - Worldwide

About the Role

We’re looking for a senior AI Engineer to support and enhance a production-grade voice AI product. This role is heavily focused on post-production support, testing, and deep expertise in Speech-to-Text (STT) and Text-to-Speech (TTS) systems.

You will work directly on a live system that has already been deployed to production, ensuring reliability, alignment with requirements, and continuous improvement. This is a full-time contract role with the possibility of long-term engagement.

What You’ll Do

• Post-production support for an existing voice AI model, ensuring high reliability and quality.
• Test, troubleshoot, and validate AI behaviors to align the product with functional and performance requirements.
• Enhance and optimize STT/TTS pipelines, including latency, accuracy, and integration performance.
• Work with stateful AI workflows, including state machines, checkpointing, and multi-step orchestration.
• Collaborate with the team to refine architecture and system design.
• Support containerized deployments and ensure smooth operation in cloud environments.
• Implement best practices for safety, privacy, and auditable changes, including redaction and least-privilege access.
• Improve monitoring and observability using OpenTelemetry and structured logging.
• Work cross-functionally with Product, Engineering, and Marketing teams on release quality and reliability.

Required Qualifications

• 5+ years of Python engineering experience, including shipping production systems.
• Strong experience with Postgres JSONB and Redis (TTL strategies, cache sizing, coherency).
• Hands-on production experience with STT and TTS systems.
• Experience building LLM or AI workflows using LangGraph or similar orchestration frameworks
  (e.g., LangChain, LlamaIndex, custom pipelines).
• Experience with function/tool calling and state/checkpoint patterns in agent systems.
• Strong skills in schema design and LLM data contracts (Pydantic, JSON Schema).
• Experience with observability tooling (OpenTelemetry, structured logs).
• Practical understanding of AI safety/privacy: redaction pipelines, auditing, RBAC/least privilege.

Nice to Have

• Direct experience with LangGraph in production.
• Experience with voice AI products or real-time media pipelines.
• Prior work in GenAI environments (not required due to recency of the field).
• Proximity to NYC and ability to visit the office (optional but preferred).
• Solid AWS experience, including: ECS, Lambda, Step Functions, Bedrock
• Proficiency with containerized services, IaC, and CI pipelines.

Who You Are

• A pragmatic engineer who knows how to support and stabilize a production AI system.
• Comfortable owning both testing and validation of AI behavior.
• Able to thrive in a hybrid role that spans backend engineering, LLM tooling, and voice AI.
• Strong communicator who can collaborate with engineering, product, and leadership teams.
• Highly reliable, detail-oriented, and comfortable with autonomy.