Technology and Data - Software Engineer 4 - Contingent

Artech LLC

CHARLOTTE, NC

JOB DETAILS
SALARY
$65–$70 Per Hour
SKILLS
Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Cloud Computing, Consulting, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Customer Experience, Data Management, Data Quality, Database Extract Transform and Load (ETL), Engineering, Enterprise Data Integration, Error Handling, GCP (Good Clinical Practices), Information/Data Security (InfoSec), Leading Edge Technology, Memory Hardware, Microsoft Windows Azure, Operations Processes, Python Programming/Scripting Language, Query Analysis, Query Optimization, Regulatory Compliance, SQL (Structured Query Language), Scalable System Development, Software Engineering, Team Player, Testing
LOCATION
CHARLOTTE, NC
POSTED
24 days ago

Introduction

In this contingent resource assignment, you may consult on complex initiatives with broad impact and large-scale planning for Software Engineering. You will review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. You will contribute to the resolution of complex and multi-faceted situations requiring a solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.

Location

Charlotte, NC

Salary Range

$65.00- $70.00 per hr on W2

Required Skills & Qualifications

  • 5 years in Gen AI, AI Data Engineering, and Agentic AI-focused roles.
  • Advanced Prompt Engineering, Context Engineering skills, Python skills.
  • Hands-on experience building agentic AI solutions using Google ADK LangChain/LangGraph, including orchestration and tool usage patterns.
  • Strong Python development skills for backend services, workflow engines, and AI pipelines.
  • Solid data engineering expertise: Building ETL/ELT pipelines, integrating data from multiple SoRs (APIs, DBs, files, streams), working with data quality, schema evolution, and lineage.
  • Advanced SQL proficiency (complex joins, window functions, query optimization).
  • Experience with RAG architectures and integrating LLMs with enterprise data sources (vector stores relational systems).
  • Production-grade engineering practices: testing, CI/CD, logging, monitoring, and error handling.
  • Must have previous client experience working for this customer in the past 5 years.

Preferred Skills & Qualifications

  • Experience with modern data stack tools (e.g., dbt, Airflow/Composer, Kafka/PubSub, BigQuery/Snowflake).
  • Familiarity with vector databases and hybrid retrieval strategies.
  • Experience deploying solutions on GCP (preferred) or other cloud platforms with scalable architectures.
  • Knowledge of data governance, security, and PII handling in AI/data pipelines.
  • Exposure to LLMOps frameworks (evaluation, prompt/version management, tracing, cost optimization).
  • Experience implementing guardrails and safety controls for enterprise AI agents.

Day-to-Day Responsibilities

  • Design and develop Agentic AI systems using Google ADK, LangChain, and LangGraph, including multi-agent orchestration, state management, and tool integration leveraging enterprise-approved LLMs.
  • Integrate agents with enterprise Systems of Record (SoRs) by building reliable data pipelines, APIs, and connectors across structured and unstructured sources.
  • Integrate organization-approved foundation models (like Anthropic, Google Gemini etc.) into Agentic task-based workflows.
  • Partner with Process Excellence and Ops teams to ideate and implement AI copilots and AI Agents for business functions.
  • Develop scalable Python-based services for agent workflows, incorporating RAG, tool calling, memory, and structured outputs.
  • Engineer data ingestion and transformation pipelines (batch/streaming) to enable high-quality, governed data access for AI agents.
  • Write and optimize complex SQL queries for analytics, feature extraction, and real-time agent decisioning.
  • Implement observability, evaluation, and guardrails across both data and AI layers, ensuring performance, quality, compliance, and cost efficiency.
  • Use SQL, Python, and cloud-native tools (GCP, Azure, or AWS) to ensure data quality and lineage.

Company Benefits & Culture

  • Competitive hourly rate with potential for long-term engagement.
  • Opportunity to work on cutting-edge AI technologies and projects.
  • Collaborative and innovative work environment.

For immediate consideration please click APPLY to begin the screening process with Alex.

About the Company

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Artech LLC