GenAI Engineer

System One; Lafayette (LA); Hybrid; USD 140,000 - 170,000; Full time

Job summary

System One is seeking a GenAI Engineer to design and deploy production-grade AI applications and agent-based workflows within a large-scale financial services environment.

The role emphasizes integrating trusted data, LLMs, semantic search, RAG, and tool integrations, with strong governance, security, and compliance controls. Experience with AWS cloud native deployments and end-to-end AI lifecycle is essential.

Qualifications

• 5+ years of experience in context engineering and enterprise data management.
• Experience with spec-driven development, requirements, acceptance criteria.
• Strong Python development skills, APIs, Git, automated testing, CI/CD.

Responsibilities

• Build and support production-ready AI applications and agent-based solutions in a regulated financial services environment.
• Integrate AI capabilities with enterprise systems using REST APIs, event-driven patterns, and workflow platforms.

Skills

Context engineering

Python development

AWS cloud

Generative AI / LLMs

Prompt engineering

AI agents

API integration

CI/CD

Observability

Security & compliance

REST APIs

Education

Bachelor's degree in Computer Science, Engineering, IT, Data Science, or related field

Tools

Git

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