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Ai Engineer-Python, LAG/LLM & Agentic Platform Development

System One Holdings, LLC
3 hours ago
Full-time
On-site
Senior Full Stack Engineer – AI/LLM Platform

5 days onsite Pittsburgh, PA / Farmers Branch, TX / Strongsville, OH / Birmingham, AL / Phoenix, AZ Contract to Hire JOB DESCRIPTION The Software Engineer Sr is responsible for designing, developing, and supporting scalable software solutions for Intelligent Automation initiatives leveraging AI technologies. This role focuses on building an Agentic AI Platform for internal enterprise users using Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal candidate will combine strong full-stack engineering capabilities with modern AI/ML system design experience to deliver intelligent, scalable, and data-aware applications. The role requires close collaboration with product managers, data scientists, business teams, and engineering partners to deliver enterprise-grade AI-powered solutions. Must Have

Ability to design fault-tolerant production systems Agile development experience APIs and API platform engineering Large Language Model (LLM) fundamentals Strong Python development experience Retrieval-Augmented Generation (RAG) Strong experience building production-grade services using Python and/or Java Experience integrating LLMs or AI services into enterprise applications Experience designing and operating API-based platforms Systems design and engineering expertise Nice To Have

Experience with relational databases Java Jira Microsoft Office Key Responsibilities

AI Platform Engineering

Design and develop scalable AI-powered applications using Python and modern software engineering practices Build and support Agentic AI platform capabilities for enterprise internal users Integrate Large Language Models (LLMs) and AI services into enterprise applications Develop Retrieval-Augmented Generation (RAG) pipelines and intelligent data-aware systems Implement scalable API-based services and AI integration platforms Design resilient and fault-tolerant distributed systems for production environments

Software Development & Engineering

Modify existing software to correct errors, improve performance, and upgrade functionality Design and develop software systems using scientific analysis and engineering best practices Create scalable backend services and APIs supporting enterprise platforms Support full software development lifecycle activities including analysis, development, testing, deployment, and support Troubleshoot system issues and implement production improvements as needed Develop and execute software testing and validation procedures

Systems Design & Architecture

Design secure, scalable, and maintainable enterprise solutions Build production-grade services capable of supporting enterprise-scale workloads Define system integrations and API communication patterns Collaborate with engineering teams to establish technical specifications and performance requirements Support operational excellence, monitoring, and continuous improvement initiatives

Cross-Functional Collaboration

Work closely with product managers, data scientists, designers, QA teams, and business partners Participate in Agile ceremonies and engineering planning activities Communicate technical solutions effectively across technical and non-technical teams Support enterprise initiatives impacting organization-wide AI adoption and automation

Preferred / Flex Skills

Java development experience Experience with relational databases and SQL Familiarity with Jira and Agile project tracking tools Exposure to enterprise AI/ML platforms and intelligent automation solutions Financial Services or Banking industry experience preferred Soft Skills

Strong written and verbal communication skills Excellent problem-solving and analytical abilities Ability to work independently and collaboratively within teams Strong time management and multitasking capabilities Adaptability in fast-paced enterprise environments Education

Bachelor's Degree in Computer Science, Engineering, or related field preferred. Equivalent work experience will be considered.