We are looking for an AI Engineer to help build and evolve AI capabilities that support a wide range of business use cases across the organization. You will be a contributing member of a focused AI services team, working alongside experienced engineers and Product partners to deliver reliable, scalable AI solutions.
In this role, you will contribute to AI initiatives from design through production delivery, implementing well-scoped AI features and components with limited direction. This role offers hands-on exposure to complex problem spaces, real ownership of individual deliverables, and the opportunity to grow your technical skills and influence over time.
What You’ll Do:
Build, test, and integrate AI solutions such as LLM-based systems, RAG pipelines, agents, and orchestration layers
Implement systems to extract structured information from descriptions, classify content against taxonomies, and generate content aligned with organizational ontologies
Contribute to a shared AI platform with a focus on reuse, maintainability, and internal developer experience
Translate well-defined requirements into working, production-quality AI components with minimal direction
Optimize AI systems for performance, cost, and reliability
Stay current with AI/ML trends and participate in evaluations of new tools and technologies
Collaborate with Product Managers and Engineering partners to understand requirements and contribute to technical planning
Communicate progress, blockers, and technical decisions clearly and in a timely manner
Balance speed and quality, and seek guidance when navigating complex tradeoffs
Who You Are:
4+ years of professional software engineering experience
Proficiency in Go or another modern backend language such as Python, PHP, Java,
1+ year of experience building or working with AI/ML systems, including in production or production-adjacent environments
Familiarity with modern GenAI ecosystems (OpenAI, Anthropic, Hugging Face, Braintrust, PortKey, LangChain)
Exposure to NLP tasks via LLMs (text classification, named entity recognition, extraction, summarization)
Basic working knowledge of cloud platforms (AWS, GCP, or Azure)
Experience with SQL and working with structured data
Experience with RabbitMQ, Grafana or Prometheus
Nice to Have:
Familiarity with vector databases, inference engines, or data persistence layers
Familiarity with structured output handling (JSON mode, schema validation, output parsing)
Proficiency with current frontend frameworks such as React
What Success Looks Like
AI components are delivered with quality and meet defined requirements
Code is well-structured, tested, and easy for teammates to build on
Blockers and risks are surfaced early and communicated clearly
You are actively growing your understanding of the AI/ML domain and the teams systems
You contribute positively to team velocity and culture
Work Where You Thrive
For candidates based in the Austin Metro area, this role follows a hybrid work model, with three days per week in the office to balance focused individual work and meaningful in-person collaboration.
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(Pay Transparency Range Base + Commission: $124,000.00-$193,000.00 USD)
Compensation Transparency
The national base salary range for this role is posted above in this job post.
Final compensation will be determined based on factors such as relevant experience, skills, qualifications and geographic location. We also consider internal equity to help ensure fair and consistent pay practices across our teams.
Where applicable, this role may also be eligible for variable compensation (such as bonus or commission), equity, and benefits in accordance with local policies. Details will be shared during the hiring process. We are committed to equitable and transparent pay practices that align to market data, internal equity, and individual contribution.
