Etl developer [h1.location_city]

Requisition #

03030000_COMPANY_1.4

Job Title

AI Developer

Job Type

Full-time

Location

Corporate - TN US

Memphis, TN 38119 US (Primary)

Category

Operations

Job Description

PURPOSE OF POSITION

Responsible for model integration, data pipelines, retrieval infrastructure, and the engineering scaffolding required to ship reliable, secure, and cost-effective Artificial Intelligence (AI) features. This role ensures the delivery of production-grade Large Language Model (LLM) systems that meet real-world demands for performance, cost-efficiency, and governance.

MINIMUM QUALIFICATIONS

Education : Master's degree preferred. Bachelor's in Computer Science, Data Science, AI, or related field with equivalent experience considered, or related field or equivalent practical experience.

Training and Experience : 3-7 years in backend development, AI systems, or related roles, with a focus on LLMs integration or retrieval systems.

General Skills : Must have strong software engineering fundamentals and a deep understanding of working with LLMs in production environments. The ideal candidate brings hands-on experience with Python and modern data tooling and is comfortable building robust pipelines that connect unstructured content, structured data, and retrieval systems to power context-aware LLM workflows. You should demonstrate fluency in the design and reasoning of data movement processes, including ingestion, preprocessing, vector indexing, and query generation. Experience working with both open-weight and API-based large language models is also essential. This role requires a practical mindset, a strong command of SQL and retrieval strategies over relational data, and the ability to experiment, evaluate, and iterate toward scalable, cost-effective, and trustworthy AI features.

Required Skills :

• Mastery in Python, including experience with modern practices in structuring, testing, and maintaining codebases.
• Orchestrated Retrieval-Augmented Generation (RAG) systems, including document chunking, embedding, vector search, and grounded context construction.
• Expertise with PostgreSQL and pgvector, including schema design and structured retrieval over relational data.
• Robust operational understanding with SQL query generation, particularly in the context of semantic or hybrid retrieval.
• Comprehensive background integrating and orchestrating LLMs, with a focus on prompt templating, tool usage, and response parsing.
• Familiarity with Google ADK or equivalent frameworks for LLM scaffolding and orchestration.
• Proficient in utilizing unstructured and structured data, including ingestion from PDFs, DOCX, Markdown, HTML, and APIs.
• Experience deploying and debugging LLM systems, including containerization (Docker), API-based LLM integration (e.g., Ollama or vLLM), and environment configuration.

Preferred Skills

Clearance : Must be able to obtain / maintain a Secret clearance. Prefer holds an active Secret clearance.

DUTIES & RESPONSIBILITIES

SUPERVISORY / MANAGEMENT RESPONSIBILITY

None