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GenAI Engineer

System One

Lafayette, LA · HybridFull-timeSeen 2w agoSeen in employer's feed 2 days ago

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At a glance

Compensation
No compensation found
Location
Lafayette, LAHybrid
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

System One seeks a GenAI Engineer to build and support production-ready AI applications and agent-based solutions in a large-scale financial services environment. The role combines enterprise data, large language models, semantic search, retrieval-augmented generation, and workflow integrations. The engineer develops from structured requirements and acceptance criteria, integrates with enterprise systems, and works within security, governance, and compliance controls. AWS experience is highly valuable.

Skills & qualifications

RequiredNice to have

Skills

Context EngineeringEnterprise DataSemantic SearchMetadataKnowledge RetrievalData LineageSpec-Driven DevelopmentStructured RequirementsAcceptance CriteriaAI-Assisted DevelopmentPythonAPI DevelopmentGitAutomated TestingCI/CDAWSCloud-Native DevelopmentGenerative AILarge Language ModelsPrompt EngineeringStructured OutputsTool CallingRetrieval-Augmented GenerationAI Agent DevelopmentMulti-Agent WorkflowsOrchestrationTool IntegrationMemory ManagementControlled AutonomyAI EvaluationObservabilityMonitoringPrompt Version ManagementPerformance OptimizationProduction SupportREST APIsEvent-Driven ArchitectureWorkflow PlatformsAuthenticationSecurity Controls

Qualifications

5+ Years ExperienceBachelor's in Computer Science, Engineering, Information Technology, Data Science or Related Field

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match

Full 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

System One, and its subsidiaries including Joulé, ALTA IT Services, CM Access, TPGS, and MOUNTAIN, LTD., are leaders in delivering workforce solutions and integrated services across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible full-time employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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