Software Engineer – Voice Agent

Baseten

Lead Voice AI product initiatives at Baseten, a company revolutionizing AI models in production. Collaborate across teams to design and implement real-time voice solutions.

Posted 4/27/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $165,000 - $330,000 per yearWebsite

Tech Stack

Tools & technologies

DockerKubernetesPythonPyTorch

About the role

Key responsibilities & impact

Own and lead Voice AI product areas end-to-end — from architecture and system design through implementation, rollout, and long-term production operations.
Design, build, and operate real-time, large-scale, high-performance model serving systems for STT, TTS, and voice agent workloads with clear SLOs for mission-critical customer deployments.
Drive cross-team collaboration with sister engineering teams to solve full-stack technical problems, aligning on priorities, and coordinating end-to-end delivery across the product surface area.
Mentor teammates through code reviews, design docs, and technical leadership.

Requirements

What you’ll need

Bachelor's degree or higher in Computer Science or related field
Proven track record owning production-grade real-time, large-scale systems where tail latency (p99) matters.
Proficient coding abilities in one or more popular programming or scripting languages; Python proficiency is a plus.
Good taste in product, particularly developer-oriented tools
Interest in ML/AI infrastructure and willingness to learn
Strong collaboration and communication skills
Comfortable using AI coding assistants (e.g., Claude Code, Codex, Cursor) as a daily productivity multiplier — as an AI-native company, we see this as a must-have skill.
Experience implementing pipeline-level model runtime optimizations such as dynamic batching, async scheduling, or decode-side throughput improvements (NICE TO HAVE)
Experience building developer platforms: SDKs, CLIs, APIs, and self-serve workflows for ML or infrastructure products (NICE TO HAVE)
Experience with containerization and orchestration technologies (Docker, Kubernetes), service meshes, or distributed scheduling (NICE TO HAVE)
Familiarity with speech/audio ML models (STT, TTS, speech-to-speech) (NICE TO HAVE)
Familiarity with model-serving runtimes (vLLM, TensorRT, ONNX) (NICE TO HAVE)
Familiarity with systems-level performance profiling across host-device boundaries (e.g. PyTorch Profiler), diagnosing GPU utilization issues (NICE TO HAVE)
Exposure to customer-facing engineering: pre-sales prototyping, technical discovery, or working directly with customers to ship solutions (NICE TO HAVE)

Benefits

Comp & perks

Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythonreal-time systemslarge-scale systemsmodel runtime optimizationsdynamic batchingasync schedulingDockerKubernetesspeech/audio ML modelsmodel-serving runtimes

Soft Skills

collaborationcommunicationmentorshiptechnical leadership

Certifications

Bachelor's degree in Computer Science