Principal Product Engineer Evinova

The Role

We are looking for a pragmatic builder-architect a senior engineer who ships fast without leaving a mess and makes architectural choices that hold up as the product scales. This is a hands-on technical leadership role: roughly 40% writing code and prototyping with the remainder spent on architecture mentoring and raising the engineering bar within your team.

You will embed with a product team for extended periods owning technical direction and building AI-powered features end-to-end from idea through production. You wont just advise; youll build and what you build will set the pattern for others. You may end up managing some engineers.

Most engineers lean one way. Hackers ship fast but accrue debt; architects build clean abstractions but stall on delivery. You are both. You know when to prototype loosely and when to invest in the durable version and you can articulate why.

What Youll Do

• Design and build AI-powered product features agent architectures RAG pipelines model orchestration evaluation frameworks and guardrails with the same engineering rigor as any production system: testable observable gracefully degrading.

• Own the full stack for the features you build application code data infrastructure making end-to-end decisions about deployment observability cost and security.

• Make architectural choices that optimize for reversibility early and durability when the problem is actually understood.

• Mentor and coach engineers on your team transferring judgment and mental models not just answers. Calibrate involvement to stakes: get out of the way for cheap-to-reverse work lean in for load-bearing decisions.

• Read existing systems as accumulated knowledge before treating them as debt. Understand why things are shaped the way they are before proposing changes.

• Identify and manage the blast radius of technical decisions the dangerous ones at this level arent bad deployments theyre bad directions.

What Were Looking For

Engineering Judgment

• You think in failure modes and second-order effects not happy paths and demos. Who inherits this and what does it cost them if Im wrong is a question you ask naturally.

• You optimize for sustainability testability clear boundaries sane defaults documentation so what you build can be owned and extended by others.

• You treat constraints as the design problem. You map whats frozen whats validated what other systems depend on and what cant take downtime before proposing solutions.

AI Engineering

• You have built and shipped AI-powered features in production not just used AI tooling for personal productivity.

• You treat AI systems as engineering problems: versioned evaluated observable and designed to degrade gracefully when models behave unexpectedly.

• You use AI as a force multiplier on judgment you already have it accelerates the parts you understand well precisely because you can evaluate the output.

• You use AI to compress the learning loop not skip it. You build real mental models of new technology using AI as an accelerant not a crutch.

Working with Teams

• You transfer judgment not just answers. You surface reasoning install mental models and make yourself progressively less necessary.

• You lead through demonstrated competence not positional authority and you know that doing the work yourself is sometimes the failure mode.

• You learn the teams context constraints and history before injecting opinions. You earn trust by understanding what came before.

Learning

• You learn to a depth proportional to the decision. Evaluating something Defensible opinion move on. Committing the product to it Deep enough to understand failure modes and sharp edges.

• When you pick up new technology youre trying to understand why it works the way it does and what problem its designers were solving because thats what transfers.

Technical Environment

Our stack spans the following. We dont expect mastery of all of it but given the role you should be able to pick up almost any of it quickly.

• Cloud: AWS (primary) architecture and infrastructure

• Front-end: React TypeScript Vite Tailwind shadcn/ui BlockNote Nginx

• Back-end: Python Kafka FastAPI Dramatiq Valkey (task queue) PynamoDB (single-table DynamoDB) SQLAlchemy async asyncpg (PostgreSQL) Prometheus MongoDB

• Infrastructure: Docker Kubernetes (EKS) AWS CDK (TypeScript) ECS Fargate DynamoDB S3 RDS Elasticache Valkey Bedrock Secrets Manager SSM

• DevOps: NX pnpm GitHub Actions GHCR Docker/Buildx Wiz GitHub OIDC

• AI Infrastructure: Google ADK LiteLLM OpenRouter Bedrock (KB BDA Guardrails) MCP Langfuse OpenTelemetry RAGAS specialist domain agents

• AI Tooling: Claude Code Cursor Copilot opencode Hermes Agent

Requirements

• Bachelors Degree

• Minimum 8 years of experience in software engineering with meaningful time spent at a senior/staff/principal level owning technical direction.

• Production experience building AI-powered features agent systems RAG model orchestration or similar. Not just prompting or fine-tuning in isolation.

• Strong full-stack capability comfortable across application code data stores and infrastructure. You dont need to be an expert in all three but you cant treat any of them as someone elses problem.

• Experience with AWS at scale youve designed deployed and operated production systems on AWS not just used it for personal projects.

• Demonstrated ability to mentor and elevate other engineers through pairing design review or informal technical leadership.

Nice to Have

• Experience in regulated industries (healthcare pharma finance) where compliance constraints shape technical decisions.

• Background building multi-agent or agentic AI systems in production.

• Familiarity with infrastructure-as-code (CDK Terraform Pulumi) and container orchestration (EKS ECS).

• Experience working in product-led engineering organizations where engineers own outcomes not just outputs.

When we put unexpected teams in the same room we unleash bold thinking with the power to encourage life-changing -person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

The annual base pay for this position ranges from $172466.00 - $258700.00 USD Annual. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors including market location job-related knowledge skills and addition our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles) to receive a retirement contribution (hourly roles) and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program 401(k) plan; paid vacation and holidays; paid leaves; and health benefits including medical prescription drug dental and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired employee will be in an at-will position and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time including for reasons related to individual performance Company or individual department/team performance and market factors.

Are you ready to bring new insights and fresh thinking to the tableFantastic! We have one seat available and we hope its yours. Apply today.

Date Posted

Closing Date

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and furtherance of that mission we welcome and consider applications from all qualified candidates regardless of their protected characteristics. If you have a disability or special need that requires accommodation please complete the corresponding section in the application form.