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GenAI Engineer

Pristine ResourceLafayette, LA🇺🇸United StatesPosted Oct 14, 2026

Quick Overview

Seniority

Mid Senior

Work mode

Hybrid

Location

Lafayette, LA, United States

Posted

21 hours ago

AWSGenerative AIGitLLMPythonREST

Job Description

Role: GenAI Engineer
Location: Lafayette, LA (Hybrid)

Duration: Long Term

Experience: 14+ Years

Job Description:

Client 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:

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.

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