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Equity Methods

Staff Software Engineer

Scottsdale, AZ · On-site

Description Staff Software Engineer Equity Methods is seeking a Staff Software Engineer to join our ... Develop backend services in Python on AWS, with Lambda or FastAPI as the primary compute layers ...

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How much do python fastapi developer jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for python fastapi developer in Tempe, AZ is $56.15, according to ZipRecruiter salary data. Most workers in this role earn between $46.30 and $63.80 per hour, depending on experience, location, and employer.

What is a Python FastAPI Developer job?

A Python FastAPI Developer is responsible for designing, developing, and maintaining backend applications using FastAPI, a modern web framework for building APIs with Python. They work on creating high-performance APIs, integrating with databases, implementing authentication, and ensuring scalability. This role often involves working with asynchronous programming, cloud services, and containerization tools like Docker. Developers collaborate with teams to create efficient, secure, and well-documented API endpoints for web and mobile applications.

What are the key skills and qualifications needed to thrive in the Python Fastapi Developer position, and why are they important?

To thrive as a Python FastAPI Developer, you need strong proficiency in Python programming, experience designing RESTful APIs with FastAPI, and a background in web development concepts. Familiarity with version control systems like Git, containerization tools such as Docker, and knowledge of cloud platforms or SQL/NoSQL databases are commonly required, and certifications in cloud services or Python development can be advantageous. Excellent problem-solving skills, effective communication, and the ability to collaborate in agile teams help developers contribute efficiently to complex projects. These competencies ensure robust, scalable backend solutions and smooth coordination within development teams to meet business goals.

What are some typical daily tasks for a Python FastAPI Developer?

A Python FastAPI Developer typically spends their day designing, developing, and maintaining RESTful APIs to support web or mobile applications. This involves writing clean and efficient Python code, collaborating with frontend developers or other backend engineers to integrate new features, and ensuring the application meets performance and security standards. Developers also participate in code reviews, debugging, and continuous integration processes, while regularly communicating with product managers or stakeholders to align on project requirements. Staying up to date with FastAPI enhancements and industry best practices is also a common part of the role.

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Staff Software Engineer

Staff Software Engineer

Equity Methods

Scottsdale, AZ • On-site

Full-time

Posted 24 days ago

Job description

Description
Staff Software Engineer
Equity Methods is seeking a Staff Software Engineer to join our Technology and Innovation group. This is a senior individual contributor role for an engineer who thrives at the intersection of financial services domain expertise and applied AI engineering. You will work directly alongside our Python-based financial consultants to analyze how complex equity compensation and valuation workflows operate today - and redesign them as agentic AI workflows with well-placed Human-in-the-Loop (HITL) checkpoints that preserve the rigor and judgment our clients depend on.
This is not a product or infrastructure role. The core of the job is deep collaboration with practitioners who understand the domain, translating that understanding into production AI systems that augment, not replace, expert judgment.
The Role in a Nutshell
  • Embed with financial consulting teams to conduct structured workflow analysis and requirements gathering, mapping how SAS and Python-based financial processes actually work before designing any solution.
  • Identify where AI agents can take over routine, high-volume, or pattern-driven steps in financial workflows, and where human review, approval, or override is non-negotiable.
  • Design and implement agentic AI workflows using Amazon Bedrock and N8N, with HITL checkpoints that route exceptions, edge cases, and judgment-dependent decisions to the appropriate human expert.
  • Build and maintain content vectorization and retrieval-augmented generation (RAG) pipelines that give AI agents access to relevant financial context, including prior work product, regulatory guidance, and client-specific parameters, at runtime.
  • Develop backend services in Python on AWS, with Lambda or FastAPI as the primary compute layers, backed by Postgres, Snowflake and DynamoDB for workflow state management and audit logging of agent decisions, human overrides, and process outcomes.
  • Containerize and deploy agentic services using Docker, maintaining clean separation between workflow components and ensuring deployments are observable, reproducible, and rollback-safe.
  • Build lightweight React interfaces where consultants need to review, approve, or override AI-generated outputs as part of HITL steps.
  • Collaborate with the AI Product Manager on scoping and prioritization, and with the Distinguished Software Engineer on architecture decisions that span multiple workflow systems.
  • Hold yourself accountable for adoption, not just delivery. Measure impact by whether consultants are actually using what you built, whether it saves them time, and whether they come back asking for more.
  • Participate in production ownership of deployed agentic workflows: monitoring agent behavior, catching drift or failure modes, and iterating quickly.

We Are:
  • Zealous about exceptional client service and internal collaboration.
  • Agile and execution-focused , with a bias toward action and impact.
  • Growth-oriented and committed to professional development.
  • Feedback-heavy and mentoring-rich , with a culture of continuous improvement.
  • Eager to solve complex, ambiguous problems with creativity and rigor.
  • Hardworking and passionate about building the future of technology-enabled consulting.

Qualifications & Requirements:
  • 8 - 12 years of software engineering experience, with meaningful time spent consulting, working directly with domain experts or business practitioners rather than within a pure product engineering organization.
  • Demonstrated ability to conduct structured requirements gathering and workflow analysis with non-technical stakeholders - producing precise technical specifications without requiring an intermediary.
  • Desire to learn to design and implement agentic AI systems, including multi-step agent orchestration, tool use, and Human-in-the-Loop workflow design.
  • Understanding of LLMs in a production context: prompt engineering, retrieval-augmented generation (RAG), and content vectorization using embedding models (e.g., Amazon Titan, Knowledge Base, PGVector, Elasticsearch, or equivalent).
  • Strong proficiency in backend service development. Python familiarity is a plus but not required. Expertise in at least one of these languages: Python, Java, Kotlin, Groovy.
  • Hands-on experience with AWS Lambda as a primary compute pattern, along with DynamoDB, API Gateway, S3, and IAM. Familiarity with Amazon Bedrock or equivalent managed LLM infrastructure is preferred.
  • Working knowledge of N8N, UI Path or comparable workflow automation tooling; willingness to become the internal subject-matter expert in N8N or selected workflow platform is expected.
  • Working knowledge of React is sufficient to build consultant-facing HITL review and approval interfaces.
  • Comfort operating in an environment where the problem definition evolves as domain understanding deepens - judgment and communication matter as much as execution speed. MBA or Finance degree helpful but not required.
  • Background check required.

About Equity Methods
Equity Methods is a financial services consulting firm specializing in stock-based equity compensation and other complex financial reporting and valuation services. We deliver impact-rich engagements across three core practice groups: financial reporting, valuation services, and HR advisory.
With over 125 professionals and experience with over 1,000 publicly traded clients (including 50 Fortune 100 companies), Equity Methods combines the best traits of an industry-leading professional services firm with the best of an entrepreneurial, technology-enabled company. We have consistently been rated a Top Company to Work for in Arizona .

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