Senior Software Engineer

Connect-AI; San Francisco (CA); On-site; USD 160,000 - 300,000; Full time

Job summary

Connect-AI in San Francisco is seeking a Member of Technical Staff or Senior Member of Technical Staff to build, scale and own our Voice AI simulation platform, focusing on Python-based infrastructure, ML workflows and real-time systems.

You'll work closely with product and customers, tackle outages, latency and cost, and own projects from design to production in a fast-paced, hands-on environment onsite in San Francisco.

Qualifications

• Strong software engineering fundamentals and a technical degree.
• Experience across backend engineering, ML/AI infrastructure or distributed systems.
• Experience building and operating production systems at meaningful scale.
• Evidence of real technical ownership and strong engineering judgement.
• Strong communication skills in English and comfort working closely with customers.

Responsibilities

• Building systems to simulate, evaluate and improve conversational AI agents
• Developing production infrastructure primarily in Python
• Building evaluation, benchmarking and automation workflows for LLM and ML systems
• Solving problems across distributed systems, databases, AWS and real-time infrastructure
• Improving reliability, performance and cost as the platform continues to scale
• Owning projects from technical decisions and experimentation through to production

Skills

Software engineering

Backend engineering

ML/AI infrastructure

Distributed systems

Production scale

Technical ownership

Engineering judgement

English communication

Education

Technical degree

Job description

Member of Technical Staff / Senior Member of Technical Staff

$160,000–$300,000 + equity, depending on level and experience

What happens when an AI voice agent sounds great in a demo, but doesn’t behave the way it should with real customers?

That’s the problem we’re solving.

We’re building simulation, evaluation and observability infrastructure for Voice AI, helping companies test how agents behave, spot failure modes and improve performance before and after they reach customers.

The platform already handles millions of calls every month, creating interesting engineering challenges across Python, AI/ML, databases, distributed systems, AWS and real-time infrastructure.

To help push that mission further, we’re now looking for engineers to join at Member of Technical Staff or Senior Member of Technical Staff level.

WHAT YOU’LL BE DOING

• Building systems to simulate, evaluate and improve conversational AI agents
• Developing production infrastructure primarily in Python
• Building evaluation, benchmarking and automation workflows for LLM and ML systems
• Solving problems across distributed systems, databases, AWS and real-time infrastructure
• Improving reliability, performance and cost as the platform continues to scale
• Owning projects from technical decisions and experimentation through to production

WHAT WE’RE LOOKING FOR

• Strong software engineering fundamentals and a technical degree
• Experience across backend engineering, ML/AI infrastructure or distributed systems
• Experience building and operating production systems at meaningful scale
• Evidence of real technical ownership and strong engineering judgement
• Strong communication skills in English and comfort working closely with customers

Experience with LLMs, ML systems, database architecture, AI evaluations, benchmarking, AWS, real-time systems or Voice AI is particularly relevant, but direct Voice AI experience isn’t essential.

IF YOU’RE COMING IN AT SENIOR LEVEL

We’re particularly interested in engineers who have personally helped systems scale through significant growth.

Maybe you redesigned a database when the existing architecture reached its limits. Maybe you took infrastructure from millions to tens or hundreds of millions of transactions. Maybe you led a migration or made difficult calls around availability, latency, reliability and cost.

The important part is that you didn’t just work around scale. You helped solve it.

THE ENVIRONMENT

The engineering team is small, experienced and very hands-on. You’ll work close to the product and customers, have genuine influence over technical decisions and take ideas all the way through to production.

The pace is high and the bar is high too. Things move quickly, engineers carry real responsibility and there’s an expectation that you’ll get stuck into problems rather than wait for perfect specs or layers of approval.

In return, you get a level of ownership, visibility and technical influence that’s hard to find in a much larger engineering organization.

onsite in San Francisco five days a week, so you’ll need to be based nearby or willing to relocate. This role is currently open to US citizens only.