Senior Full-Stack Software Engineer, AI
Senior Full-Stack Software Engineer, AI
Posted 5 days ago
SENIORITY
Lead
About the role
- Contribute to all phases of product development, from ideation and prototyping to implementation and iteration
- Design reliable, scalable backend services to support AI-powered features in production
- Build and evolve scalable backend services and APIs that aggregate, enrich, and serve large, complex real estate datasets
- Develop and refine frontend and backend product experiences that make sophisticated data intuitive, trustworthy, and actionable
- Evaluate and benchmark LLM performance across latency, cost, accuracy, and hallucination rates
- Own technical decisions for systems that sit at the center of Mainstay's SaaS platform and directly influence investor decision-making
- Partner closely with product managers, designers, data science, and data engineering to translate business needs into durable technical solutions
- Improve system reliability, performance, and maintainability as the platform scales
- Modernize and automate legacy real estate workflows by replacing manual analysis with software-driven insights
- Mentor other engineers through code reviews, technical guidance, and shared ownership of team standards
- 5+ years of experience building and shipping production-grade software in fast-paced and early-stage start upProven, hands-on experience developing and deploying production-ready AI features
- Highly proficient with AI-first thinking and software development best practices
- Strong full-stack engineering skills with a backend-first orientation
- Deep experience designing, building, and operating scalable backend systems, ideally in PythonSolid frontend experience with React or similar modern frameworks
- Experience working with data-heavy, analytics-driven, or workflow-oriented systems
- Strong technical judgment and the ability to balance speed, correctness, and long-term maintainability
- Clear, thoughtful communication skills for a remote, highly collaborative team
- A proactive, ownership-driven approach to ambiguous problems
- This role is a great fit ifYou want to work on high-leverage systems that directly shape how institutional investors deploy capital
- You enjoy owning complex technical problems from problem definition through production impact
- You like working at the intersection of data, product, and business decision-making
- You're comfortable influencing technical direction and raising the bar for engineering quality
- You thrive in environments with autonomy, responsibility, and evolving priorities with strong ownership
- Not a great fit ifYou lack strong backend experience or are uncomfortable owning production systems in PythonYou prefer narrowly scoped tasks over end-to-end ownership
- You avoid frontend or product-facing work You struggle with ambiguity, changing requirements, or close cross-functional collaboration
- You prefer highly rigid processes and minimal iteration
- Tools we use
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
