Remote Voice Engineer Jobs in Austin, TX (NOW HIRING)

*The ideal candidate for this role would work hybrid (2 days per week) in our Austin, Texas headquarters. We are also open to candidates who are remote in the United States, but can travel to our headquarters 1-2 times per quarter*

We are seeking a Principal Engineer to lead the hands-on architecture and development of our next-generation data and intelligence APIs. This role is deeply technical and execution-focused, responsible for defining API contracts, building production services, and architecting the platform interfaces high-performance throughput, agentic workflows, and external customer integrations.

You will operate at the intersection of distributed systems, data platforms, and agentic orchestration, ensuring our APIs are scalable, governed, observable, and designed for long-term evolution. This role requires strong systems thinking, high-quality implementation standards, and the ability to translate platform strategy into production-grade services.

This is a hands-on engineering role with architectural authority.

What You'll Do:

• Next-Generation API Architecture
• Architect and implement customer-facing data and intelligence APIs with clear versioning, SLAs, and backward compatibility.
• Define and enforce API contracts for:
• Low latency, high throughput endpoints
• Agentic workflows (tools, actions, state transitions, handoffs)
• Context retrieval and enrichment
• Design APIs as durable platform interfaces, not thin wrappers over storage systems.
• Establish standards for schema governance, payload design, and service boundaries.
• Agentic & ML Platform Integration
• Architect service layers that support agentic workflows, including orchestration interfaces, guardrails, and runtime observability.
• Build API surfaces that expose model outputs safely and consistently.
• Collaborate with MLEs and Data Scientists to move models from experimentation into robust inference services.
• Ensure proper lifecycle management, monitoring, and rollback mechanisms for ML-powered endpoints.
• Data Platform & Context Hubs
• Design and implement service layers that sit on top of the gold-layer system of record.
• Build and evolve context hubs derived from authoritative systems of record, enabling consistent entity, identity, or risk context for downstream services.
• Ensure APIs are aligned with medallion architecture principles and platform data contracts.
• Prevent fragmentation by maintaining strong coupling to canonical schemas and governed data models.
• Distributed Systems & Reliability
• Design high-throughput, low-latency services supporting batch and streaming workloads.
• Implement scalable infrastructure patterns on AWS.
• Ensure strong observability, error handling, performance tuning, and cost awareness.
• Drive infrastructure-as-code practices and production readiness standards.
• Technical Leadership
• Serve as a senior architectural voice in design reviews.
• Raise the bar on code quality, system design, and operational rigor.
• Mentor engineers on API design, distributed systems, and ML integration patterns.
• Influence platform direction through technical depth rather than organizational authority

Requirements:

• 10+ years of experience building distributed systems, APIs, or large-scale data platforms.
• Deep experience designing and implementing customer-facing APIs as long-lived products.
• Strong understanding of schema governance, versioning strategies, and contract design.
• Experience productionizing ML models and exposing inference services.
• Experience designing or integrating agentic or autonomous workflows.
• Experience building service layers on top of systems of record or semantic data layers.
• Strong background in distributed systems reliability, observability, and scalability.
• Proficiency in Go & Python (and/or backend service languages).
• Hands-on experience with Databricks/Snowflake
• Strong experience with AWS infrastructure and infrastructure-as-code tools

Nice to Have:

• AWS services including Redshift, S3, EC2, and related cloud-native tooling.
• Data stores including Elasticsearch, PostgreSQL, Redis, and graph databases (e.g., Neo4j or AWS Neptune).
• Experience building high-performance APIs and service layers over heterogeneous data systems.
• Familiarity with Databricks/Snowflake and/or SageMaker is a plus.
• Experience in cybersecurity, identity, fraud, or risk systems is a plus.

Base Salary Range: $169,000 - $220,000

The salary range reflects the expected base compensation for a fully qualified candidate at this level based on experience, qualifications, and market data at the time of posting.