GenAI Engineer

System One; Lafayette (LA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

System One in Lafayette, LA seeks a GenAI Engineer to design and deliver production-ready AI applications and agent-based solutions across a regulated enterprise environment. You will work with LLMs, semantic search, RAG, and tool integrations to translate business needs into measurable AI capabilities.

This hybrid role combines onsite collaboration with remote work and requires strong Python and cloud skills.

Qualifications

• 5+ years of experience with context engineering and enterprise data management.
• Strong Python development with APIs, Git, testing, and CI/CD.
• Experience building production AI apps in AWS/cloud-native environments.
• Hands-on experience with Generative AI, LLMs, prompt engineering, and RAG.
• Experience designing AI agents and orchestration across multi-agent workflows.
• Knowledge of AI governance, guardrails, security, and compliance.
• Understanding of integration with enterprise systems via REST APIs.

Responsibilities

• Build and support production-ready AI applications and agent-based solutions.
• Translate business needs into measurable AI capabilities.
• Ensure security, governance, and compliance in AI solutions.
• Work in AWS cloud environments on enterprise-grade AI applications.
• Collaborate with teams to integrate with enterprise systems and tools.

Skills

Context engineering

Semantic search

Metadata handling

Knowledge retrieval

Data lineage

Spec driven development

Python development

APIs

CI/CD

AWS cloud

LLM applications

Prompt engineering

AI agents

Orchestration

Guardrails

Responsible AI

Security controls

Education

Bachelor's degree in CS/Engineering/IT/Data Science

Tools

Git

Automated testing

CI/CD

REST APIs

Workflow platforms

AWS

Job description

Job Title: GenAI Engineer

Duration: Full Time / Permanent Position

Location: Lafayette, LA, Knoxville, TN, Columbia, SC, Birmingham, AL

Work Mode: Hybrid (3 Days Onsite – 2 Days Remote)

Position Description

Systemone is seeking an AI Agent Engineer to build and support production ready AI applications and agent based solutions within a large scale financial services environment. This role focuses on developing AI capabilities that combine trusted enterprise data, large language models (LLMs), semantic search, retrieval augmented generation (RAG), and workflow/tool integrations.

The engineer will work from structured requirements and acceptance criteria to develop reliable AI solutions that integrate with enterprise systems and operate within established security, governance, and compliance controls. The role requires strong hands on engineering skills and the ability to translate business needs into practical, measurable AI capabilities.

Experience working in AWS based cloud environments and with enterprise grade AI applications is highly valuable.

Required qualifications to be successful in this role

• 5+ years of experience with context engineering, including enterprise data, semantic search, metadata, knowledge retrieval, and data lineage.
• Experience working with spec driven development, structured requirements, acceptance criteria, and AI assisted software development practices.
• Strong hands‑on Python development skills, including APIs, Git, automated testing, and CI/CD.
• Experience developing production applications in AWS/cloud native environments.
• Hands on experience building Generative AI and LLM applications, including prompt engineering, structured outputs, tool/function calling, and RAG.
• Experience developing AI agents, including single agent or multi agent workflows, orchestration, tool integration, memory, and controlled autonomy.
• Experience with production AI practices such as evaluation, observability, monitoring, prompt/version management, performance optimization, and production support.
• Experience integrating applications with enterprise systems using REST APIs, event driven patterns, workflow platforms, and authentication/security controls.
• Understanding of Responsible AI and AI governance, including guardrails, human in the loop processes, security, privacy, auditability, and compliance.
• Ability to translate business requirements into production ready AI capabilities while considering technical trade offs, governance, user experience, and measurable outcomes.
• Financial services or other highly regulated industry experience is a strong plus.

Education:

• Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field.

Ref: #404-IT Pittsburgh