Python Developer - Onsite Job - Phoenix, AZ

Phoenix, AZ, US • Posted 2 hours ago • Updated 2 hours ago

Contract Independent

Contract W2

On-site

Depends on Experience

Fitment

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Job Details

Skills

Amazon Web Services
Apache Kafka
Artificial Intelligence
Cloud Computing
Code Refactoring
Collaboration
Debugging
Evaluation
FOCUS
Finance
Financial Services
Good Clinical Practice
Google Cloud Platform
Kubernetes
Machine Learning (ML)
Open Source
Orchestration
Prompt Engineering
Storage
Testing
Workflow
Python
AWS
GCP
REST
LLM
Kafka
RAG

Summary

Title : Python Developer

Onsite role Phoenix, AZ

Responsibilities:

Contribute to the design and implementation of LLM-powered and agentic product features.
Build and extend agentic AI workflows that reason over context, call tools, and perform actions under guidance from senior engineers.
Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety.
Contribute to shared AI infrastructure such as LLM services, orchestration components, and evaluation or monitoring tooling.
Participate in operating AI systems in production, including monitoring, debugging, and improving reliability and performance.
Collaborate closely with product and design partners, learning to translate customer needs into technical solutions.

Technical Environment
We don t hire to a narrow checklist, but candidates should be excited to grow in a modern, enterprise-scale engineering environment with a focus on agentic AI.
Core engineering stack

Languages: Python
Cloud and infrastructure: AWS and/or Google Cloud Platform, Kubernetes
APIs and services: REST, gRPC
Distributed systems: event-driven architectures, including Kafka

Agentic AI and ML

Commercial and open-source LLMs integrated into agentic workflows
Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation
Schema validation and structured data handling

AI-assisted development

Use of AI-assisted and agentic development tools for design, implementation, testing, debugging, and refactoring
Learning how to apply these tools responsibly while maintaining production-quality standards
All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment.

Preferred Qualifications

Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks through work, coursework, or personal projects.
Internship or early-career experience in fintech or other regulated environments.
Contributions to open-source projects, hackathons, or side projects related to AI or developer tooling.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10123013
Position Id: 8930939
Posted 2 hours ago

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