AI Engineer III

🕒 5 days ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $120k - $140k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Design, develop, deploy, and support Agentic AI applications, including multi-agent workflows and orchestration • Provide hands-on technical collaboration, code review, support, and mentorship to AI Engineers and contractors • Architect and implement RAG pipelines, vector search, embedding-based retrieval, and LLM integration patterns • Design and build MCP Server integrations and tool-use frameworks • Translate AI strategy and roadmap into technical execution plans with VP Engineering, Data Strategy, and cross-functional stakeholders • Select and integrate AI frameworks and platforms for scalable, reliable, and secure solutions • Establish and enforce engineering best practices, including CI/CD, testing, and responsible AI guardrails • Monitor emerging AI engineering trends, tools, and techniques • Support internal and external audits, safety and security policies, continuous improvement, and training activities

🎯 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 direction 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 • Experience in microservices architecture, Kubernetes, OpenShift, AWS and/or Azure, Spring Boot, Node.js, CI/CD, and DevOps automation • Strong hands-on expertise in machine learning frameworks, agentic AI architecture, and cloud computing platforms • Proven ability to lead technical delivery and mentor engineers • Strong communication and facilitation skills; able to translate business requirements into technical designs • Working understanding of AI ethics, data privacy, and regulatory considerations relevant to AI systems

🏖️ Benefits

• Medical, dental and vision coverage • 401K matching • Flexible PTO • Life insurance • Employee assistance • Pet insurance