Note: The job is a remote job and is open to candidates in USA. Vericast is a financial institution performance partner that helps banks and credit unions drive growth, improve efficiency, and increase engagement through data, technology, and people. The AI Engineer III will lead the hands-on development, deployment, and support of Agentic AI applications, establish engineering standards, architect reliable and secure solutions, and mentor AI engineers while translating AI strategy into technical execution.
Responsibilities
- 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%)
- All team members are responsible for demonstrating the company's Core Values at all times and for using Performance Excellence principles to continuously improve effectiveness, efficiency, products, and services. This includes, but is not limited to, participating on improvement teams, recommending and implementing improvement ideas, and participating in training and other activities to keep up to date on processes, information, etc
- All team members are responsible for supporting and complying with internal and external audits, to include providing information, performing assigned tasks to ensure compliance, and preparing and maintaining evidence that key duties identified as internal controls have been performed
- All team members are responsible for supporting and complying with safety and security policies to promote a healthy working environment
Skills
- * 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
- * Strong hands-on expertise in machine learning frameworks, agentic AI architecture, and cloud computing platforms
- * Proven ability to lead technical delivery and mentor engineers in a fast-paced environment
- * 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
- Master's degree preferred
- * 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
- * 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
Company Overview
Company H1B Sponsorship