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Vericast

AI Engineer III

Vericast

AI Engineer III leading technical delivery for Agentic AI applications at Vericast. Responsible for hands-on development, technical standards, and team mentorship in a financial institution context.

Posted 7/28/2026full-timeRemote • Texas • 🇺🇸 United StatesSeniorLead💰 $120,000 - $140,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing AI applications, with a strong focus on multi-agent workflows, RAG pipelines, and LLM integration. Proven ability to lead technical teams, enforce engineering best practices, and collaborate with cross-functional stakeholders to execute AI strategies.

Highest-signal resume keywords
AI Application DevelopmentRAG Pipeline ArchitectureMicroservices ArchitectureKubernetesAWS Certified Machine Learning Engineer - Associate

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
LangGraphLangChainVector DatabasesNLP-Based AutomationEmbedding-Based SearchLLM IntegrationCI/CDDevOps AutomationSpring BootNode.js
Soft Skills
Technical LeadershipMentorshipCollaboration
Tools & Technologies
MCP ServerTrinoSupersetStarburst SQL ServerETL ToolsS3AirflowIcebergPySparkHive
Certifications & Qualifications
AWS Certified Machine Learning Engineer - AssociateAWS Certified AI PractitionerMicrosoft Certified: Azure AI Engineer AssociateGoogle Cloud Professional Machine Learning EngineerNVIDIA AI/Deep Learning Certification
Industry Keywords
Big Data InfrastructureFinancial Services SolutionsAI Engineering TrendsResponsible AI GuardrailsEmerging AI Tools

Tech Stack

Tools & technologies
AirflowAWSAzureCloudETLJavaScriptKubernetesMicroservicesNode.jsOpenShiftPySparkSpringSpring BootSpringBootSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

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