Find & Apply For Artificial Intelligence Engineer Jobs in Shreveport, Louisiana

Position Mission We are building a technology-driven healthcare and employment-screening organization operating across drug and diagnostic testing, background checks, employment screening, telehealth, healthcare fulfillment, and 503A/B2B healthcare services. We are seeking an exceptional Senior AI Engineer / AI Platform Developer who can architect, build, deploy, and continuously improve production-grade AI systems that create measurable business outcomes. This is not a research-only position and not a role for someone who primarily connects APIs. We want a builder and owner who understands modern AI architecture, LLMs, agents, data pipelines, APIs, cloud infrastructure, security, evaluation, and enterprise software development—and can turn those capabilities into reliable products used by customers and employees. What You Will Own AI Architecture & Engineering Design and build production-grade AI applications, agents, copilots, and automation systems. Architect multi-agent and agentic workflows for complex business processes. Build LLM applications using leading commercial and open-source models. Develop RAG architectures, vector search, knowledge systems, and enterprise AI search. Build structured and unstructured data ingestion pipelines. Develop reliable APIs and backend services supporting AI applications. Design systems for model routing, tool calling, memory, context management, and orchestration. Build AI evaluation, testing, observability, and monitoring frameworks. Optimize latency, accuracy, reliability, and AI inference costs. AI Agents & Workflow Automation Develop AI systems capable of automating or augmenting: Sales prospecting and lead qualification Customer service Drug-testing workflows Background and employment-screening workflows Compliance review Document analysis Telehealth operations Order processing Revenue-cycle workflows Financial analysis Employee training Internal knowledge management Executive reporting The goal is not simply to introduce AI. The goal is to create measurable improvements in revenue, productivity, accuracy, customer experience, and operating leverage. Product Development Work with leadership and business teams to rapidly convert business problems into deployable AI products.

Responsibilities include:

Technical architecture Prototyping Full-stack development Backend engineering API integrations AI model integration Database architecture Cloud deployment CI/CD Testing Monitoring Documentation Production support You should be comfortable taking a concept from a whiteboard conversation to a functioning production application. Enterprise Integrations Build integrations between AI systems and platforms such as: HubSpot Shopify WooCommerce Background-screening platforms Drug-testing systems Telehealth platforms Laboratory systems Payment systems ERP/accounting platforms Internal databases Third-party healthcare APIs AI Governance, Security & Compliance Because our businesses operate in regulated environments, this position must build AI with security and compliance in mind.

Responsibilities include:

Role-based access controls Audit logging Encryption Secure API design Data isolation Human-in-the-loop controls AI output validation Model evaluation Hallucination/error monitoring PII/PHI protection Vendor and model risk assessment Experience working around

HIPAA, FCRA, SOC

2, healthcare data, employment data, or other regulated environments is highly desirable. Technical Qualifications Strong professional experience with: Python TypeScript / JavaScript FastAPI, Node.js, or comparable backend frameworks REST APIs and webhooks SQL and relational databases PostgreSQL Redis Vector databases Docker Git/GitHub Cloud architecture: AWS, Azure, or

GCP CI/CD

Production monitoring and observability Strong experience with modern AI technologies including: OpenAI Anthropic Gemini Open-source LLMs RAG Embeddings Vector search Structured outputs Function/tool calling Agentic architectures Prompt engineering AI evaluations Model benchmarking Fine-tuning where appropriate AI guardrails and safety systems Experience with frameworks such as LangGraph, LangChain, LlamaIndex, PydanticAI, or equivalent technologies is valuable, but we care more about engineering fundamentals than dependency on a particular framework. Ideal Candidate You may have previously worked as a: Senior AI Engineer Staff AI Engineer Founding AI Engineer Machine Learning Engineer AI Platform Engineer Senior Full-Stack Engineer specializing in AI Applied AI Engineer You are someone who: Ships quickly without sacrificing engineering discipline. Can operate with incomplete requirements. Thinks from first principles. Understands business economics as well as technology. Challenges weak technical decisions. Measures results instead of simply shipping features. Can communicate complex architecture clearly to executives. Uses AI aggressively in your own development workflow. Has personally built production AI products—not merely demos. Is comfortable owning important systems. Preferred Experience 7+ years software engineering experience 3+ years building ML/AI applications Demonstrated production LLM experience Strong computer science or engineering fundamentals Bachelor's or Master's degree in Computer Science, Engineering, AI, Mathematics, or comparable discipline Exceptional demonstrated ability can outweigh formal education requirements. What We Want to See Candidates should be prepared to demonstrate: Production AI systems personally designed or built. Architecture decisions and tradeoffs. AI agents or workflows they have deployed. Measurable business impact. Code quality and engineering practices. How they evaluate LLM accuracy and reliability. How they would architect AI safely around sensitive healthcare and employment information. A GitHub portfolio, technical portfolio, live applications, or detailed architecture examples are strongly preferred. First-Year Success Metrics Success will be measured by outcomes including: AI products successfully deployed into production Hours of manual work eliminated Revenue influenced or generated by AI Reduction in operating costs User adoption System uptime and reliability Model accuracy Reduced AI error rates Faster business processes Successful integrations AI infrastructure cost efficiency Our Standard We are building an AI-first organization. We want engineers who look at a 10-person manual workflow and ask: "How could software and AI allow two exceptional people to accomplish this?" If you want to build AI systems that directly affect healthcare, employment screening, revenue, operations, and the economics of growing businesses, we want to speak with you.

Work Location:

In person