Senior AI Engineer | Sage Home Loans

This role requires a hybrid schedule and will be based in our South Charlotte, NC Headquarters (Tuesday through Thursday) and work fully remotely on Mondays and Fridays each week.

This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp.

For the Sage Home Loans website click here. Curious how Sage Home Loans fits into Red Ventures? Click here.

Sage Home Loans is on a mission to revolutionize the industry by making mortgage simple. We’re re-imagining the mortgage application and origination processes around data and AI systems, and we’re hiring a Senior AI Engineer to join our Innovation team. In this role, you’ll work hands-on with cutting-edge generative AI technologies—partnering with AI engineers, software engineers, and product managers to build LLM-powered products that meaningfully change how mortgages get done. We’re looking for a builder with a bias to action who thinks like an owner, brings a growth mindset, and is energized by the chance to ship production AI in a regulated, fast-moving environment.

What You’ll Do:

• Work with cutting-edge generative AI technologies such as LLMs and collaborate with other highly talented AI and software engineers.

• Help build and improve AI-enabled products such as automated document processing, auto condition clearing, income calculation, call scoring, and virtual assistants.

• Design and own our AI eval infrastructure—golden datasets, automated regression suites, LLM-as-judge pipelines, and online quality metrics for our LLM-powered products.

• Lead model, harness, and training decisions across the AI stack—foundation model selection across vendors, agent frameworks and orchestration, custom fine-tuning (SFT, DPO, LoRA), and RAG/retrieval design.

• Design safety guardrails, hallucination mitigation, and PII handling appropriate to regulated mortgage workflows—because we believe in winning the right way.

• Design and execute end-to-end AI systems with attention to reliability, latency, cost, and observability in production.

• Take ideas from discovery to production solutions—thinking big, starting small, and scaling fast.

• Partner with business stakeholders and work effectively across business, creative, and engineering groups to solve problems and build a positive culture across teams.

• Provide guidance to the broader applied AI community within Red Ventures on the design and execution of AI projects, especially where you bring specific expertise.

• Further the Sage Engineering team’s technical capabilities by bringing novel methods from the field into Red Ventures through hands-on prototyping, software development, and teaching others—leaving the woodpile higher than you found it.

• Drive the development of junior team members through mentorship and coaching.

 

What We’re Looking For:

• 5+ years building and shipping production software, with at least 1 year building LLM-powered systems. BS/MS in CS, ML, or a related field preferred; equivalent applied experience welcome in lieu of a degree.

• Demonstrated experience shipping LLM-powered products to production, including hands-on work with prompt design, agent harnesses, and tool use.

• Hands-on experience building eval frameworks—benchmark design, golden dataset curation, LLM-as-judge, and regression testing for prompts and models.

• Experience selecting and integrating foundation models from multiple vendors (Anthropic, OpenAI, open-weight models), and reasoning about cost, latency, and quality tradeoffs.

• Familiarity with post-training techniques (SFT, DPO, LoRA) and RAG/retrieval system design, including embedding model selection. Comfort operating in a regulated/financial environment is a plus.

• Experience with end-to-end model development, deployment, evaluation, and monitoring workflows, including LLM-based products in production.

• Proficiency with a modern data platform (Databricks, Snowflake, or similar).

• Familiarity with TypeScript/React/Node a plus, for app integration (nice-to-have).

• Ability to methodically understand business context, define value propositions, and formulate and solve complex applied AI problems.

• Ability to clearly articulate the “why” behind proposed AI solutions to relevant stakeholders.

• Ability to own key deliverables and use problem-solving to deliver projects on time, iterating when justified by incremental value—because plan beats no plan.

• Ability to intake business requests and priorities, prioritize bodies of work, and communicate project status, timeline, and technical results to broad audiences.

• Bias to action and proactive communication—every second counts.

• Experience expanding the knowledge of an AI engineering team through teaching and mentoring on topics where you have specific expertise.

• Experience leveraging technical expertise to identify the feasibility of potential AI projects, ensuring the team delivers value on projects that are feasible.

• Stays current on the rapidly evolving AI landscape and translates new techniques, models, and tooling into shipped product—a commitment to getting better every day.

 

Compensation:

This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compens