AI Engineer III

Job not on LinkedIn

🔥 0 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $120k - $140k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

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Vericast

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

📣 Marketing

💸 Finance

💳 Fintech

Marketing • Finance • Fintech

Vericast is a company focused on accelerating the performance of financial institutions. Through the use of data, artificial intelligence, and innovative strategies, Vericast helps banks and credit unions drive growth and enhance their marketing performance. The company provides a variety of solutions including digital marketing, direct mail, card solutions, check solutions, customer and employee insights, and customer change management. Vericast leverages responsibly sourced data to engage consumers effectively, which is why many financial institutions trust them for solving marketing challenges. Their expertise in the financial sector is aimed at delivering insights and growth solutions, positioning them as a leader in financial marketing services.

📋 Description

• Serve as hands-on technical lead for the design, development, deployment and support of Agentic AI applications, including multi-agent workflows and orchestration (25%) • Hands-on technical coloration, code review, support and mentorship to AI Engineers and contractors on the team (15%) • Architect and implement RAG pipelines, vector search, embedding-based retrieval, and LLM integration patterns for production use cases (15%) • Design and build MCP Server integrations and tool-use frameworks to extend agentic application capabilities (10%) • Collaborate with the VP Engineering and Data Strategy and cross-functional stakeholders to translate AI strategy and roadmap into technical execution plans (10%) • Own selection and integration of AI frameworks and platforms, ensuring scalability, reliability, and security of deployed solutions (10%) • Establish and enforce engineering best practices, including CI/CD, testing, and responsible AI guardrails for agentic systems (10%) • Monitor emerging AI engineering trends, tools, and techniques and assess applicability to current initiatives (5%)

🎯 Requirements

• Bachelor's Degree in a technical or numerical field (Required) • 8+ years' experience designing and developing software applications and/or data engineering pipelines • 3+ years' experience leading or providing technical directions to engineers on application or AI/ML delivery teams • Experience in LangGraph, LangChain, RAG chatbots, vector databases, NLP-based automation, MCP Server development, embedding-based search, and LLM integration is required • Experience in microservices architecture, Kubernetes, OpenShift, AWS and/or Azure, Spring Boot, Node.js, CI/CD, and DevOps automation is required • Experience with Trino, Superset, Starburst SQL Server, ETL tools, S3, Airflow, Iceberg, PySpark, or Hive preferred • Experience building financial services solutions in big data infrastructure preferred • Industry Certifications (Preferred) AWS Certified Machine Learning Engineer - Associate (MLA-C01) or AWS Certified AI Practitioner Microsoft Certified: Azure AI Engineer Associate (AI-102) Google Cloud Professional Machine Learning Engineer NVIDIA AI/Deep Learning certification (e.g., NVIDIA Certified Associate: AI Infrastructure) Databricks Machine Learning Associate

🏖️ Benefits

• medical, dental and vision coverage • 401K matching • flexible PTO • life insurance • employee assistance • pet insurance