Python AI Engineer-Agentic AI & API Development

Rose International
Tampa, United States of America
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 135K

Job location

Remote
Tampa, United States of America

Tech stack

API
Artificial Intelligence
Component-Based Software Engineering
Automation of Tests
Business Software
Databases
Continuous Integration
Linux
Distributed Systems
Python
Linux System Administration
Enterprise Messaging Systems
Performance Tuning
Standard Sql
Software Engineering
Software Systems
SQL Databases
Data Streaming
Systems Integration
Web Application Frameworks
Data Logging
Application Enhancement Tool
Flask
Large Language Models
Software Application Programming
FastAPI
Event Driven Architecture
Containerization
Kafka
Video Streaming
Virtual Agents
REST
Software Version Control
Microservices

Job description

This is a development position within the Technology organization responsible for building and supporting modern software solutions leveraging Python, microservices, APIs, event-driven architectures, and emerging AI technologies.

The role will contribute to the development of Agentic AI solutions, MCP integrations, and distributed application platforms. The successful candidate will work closely with senior engineers, architects, and business partners to deliver scalable and secure applications while adhering to established engineering and governance standards.

Responsibilities As a Software Engineer, you will: Design, develop, test, and support Python-based applications and services. Build and maintain REST APIs, microservices, and event-driven integrations. Contribute to the development of Agentic AI workflows and MCP-enabled application components. Implement integrations between AI models, enterprise systems, and business applications. Develop reusable services and components following enterprise engineering standards. Participate in the full software development lifecycle, including design, coding, testing, deployment, and support. Implement monitoring, logging, and operational controls to ensure service reliability. Contribute to automation, CI/CD pipelines, and testing frameworks. Work with messaging and event-streaming technologies to support asynchronous processing. Collaborate with business and technology teams to analyze requirements and develop technical solutions. Support issue resolution, performance tuning, and application enhancements. Document technical designs, implementation details, and operational procedures. Follow established security, governance, and risk management standards.

  • Only those lawfully authorized to work in the designated country associated with the position will be considered.

  • Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.

Requirements

Must Have Skills/Attributes: Flask, Kafka, Linux, Python, SQL

Experience Desired: Experience developing applications using Python (5 yrs); Knowledge of SQL and database technologies (5 yrs); Experience working in Linux environments (5 yrs); Exposure to Agentic AI frameworks, MCP, LLMs, and GenAI solutions (5 yrs)

Required Minimum Education: Bachelor's Degree

Preferred Education: Master's Degree

C2C is not available, Bachelor's degree/University degree or equivalent experience in a STEM-related field.

Preferred Education Master's degree, 5 years of experience developing applications using Python. Experience with RESTful APIs and microservices development. Familiarity with event-driven architecture and messaging platforms. Experience with FastAPI, Flask, or similar Python frameworks. Knowledge of SQL and database technologies. Familiarity with source control, CI/CD pipelines, and automated testing. Experience working in Linux environments. Strong analytical and problem-solving skills. Ability to work independently and collaboratively within cross-functional teams. Exposure to Agentic AI frameworks, MCP, LLMs, and GenAI solutions.

Preferred Skills Familiarity with Kafka, MQ, or event-streaming platforms. Experience with cloud platforms and container technologies. Banking, risk management, or financial services experience. Understanding of distributed systems, observability, and platform monitoring.

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