Staff/Senior Software Engineer

TalentCompass; Scottsdale (AZ); On-site; USD 150,000 - 230,000; Full time

Job summary

TalentCompass is seeking a Staff Software Engineer to lead hands-on AI-driven workflow design for complex financial processes in Scottsdale. You will build agentic AI systems, with HITL checkpoints, leveraging Bedrock and Python to integrate with Postgres, Snowflake, and DynamoDB.

You will collaborate with consultants and domain experts to deliver production-ready AI solutions that augment human decision-making and deliver measurable efficiency gains.

Qualifications

• 8-12 years of software engineering experience, preferably with business stakeholders.
• Experience gathering requirements and translating workflows into technical solutions.
• Familiarity with agentic AI systems, LLMs, prompt engineering, and RAG.
• Proficiency in Python, Java, Kotlin, or Groovy; Python preferred.
• Hands-on experience with AWS services (Lambda, DynamoDB, API Gateway, S3, IAM) and Bedrock a plus.
• Knowledge of workflow automation tools such as N8N or UI Path.
• Basic React experience for HITL interfaces.
• Strong problem-solving and communication skills; able to work in evolving environments.

Responsibilities

• Embed with financial consulting teams to map real workflows before designing solutions.
• Identify where AI can automate routine steps while preserving human review where needed.
• Design and implement agentic AI workflows using Bedrock and N8N with HITL routing.
• Build and maintain content vectorization and RAG pipelines with contextual data.
• Develop Python backend services on AWS (Lambda, FastAPI) with Postgres/Snowflake/DynamoDB for state and audits.
• Containerize and deploy services with Docker and ensure observable, rollback-safe deployments.
• Create lightweight React interfaces for HITL review and overrides.
• Collaborate with AI Product Manager and Distinguished Software Engineer on architecture.
• Monitor deployed workflows, detect drift, and iterate based on adoption and impact.

Skills

Python

Java

Kotlin

Groovy

AWS

Bedrock

N8N

React

Python proficiency

LLMs / Prompting

Tools

Amazon Bedrock

Lambda

DynamoDB

PostgreSQL

Snowflake

S3

API Gateway

Docker

React tooling

N8N

Job description

The Position

Our client's CTO is seeking a forward-thinking Staff Software Engineer to join our Technology and Innovation group. This is a senior individual contributor role focused on applying AI to transform complex financial services workflows. Working closely with Python-based financial consultants, you\'ll analyze how equity compensation and valuation processes operate today and redesign them into intelligent, agentic AI workflows with thoughtfully placed Human-in-the-Loop (HITL) checkpoints that preserve the expertise and judgment clients rely on.

This is not a product or infrastructure role. Instead, it is a highly collaborative engineering position where you\'ll partner directly with domain experts to translate complex business processes into production-ready AI systems that augment, rather than replace, human decision-making.

This is a hands-on engineering role. Candidates should expect to write and review code during the interview process to demonstrate their technical depth, problem-solving approach, and ability to build practical AI-driven solutions.

Primary responsibilities include:

• 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.

Qualifications and Candidate Background

The ideal candidate will have:

• 8-12 years of software engineering experience, preferably in consulting or working directly with business stakeholders.


• Experience gathering requirements and translating business workflows into technical solutions.


• Familiarity with agentic AI systems, LLMs, prompt engineering, and RAG.


• Proficiency in Python, Java, Kotlin, or Groovy. Python is a plus but not required.


• Hands-on experience with AWS services such as Lambda, DynamoDB, API Gateway, S3, and IAM. Experience with Amazon Bedrock is a plus.


• Working knowledge of workflow automation tools such as N8N or UI Path.


• Basic React experience for building Human-in-the-Loop (HITL) interfaces.


• Strong problem-solving and communication skills, with the ability to work in evolving, collaborative environments.


• Background check required.

Location

This position is in Scottsdale, AZ.

Your information will not be shared with any outside parties without your prior consent