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

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.