AI and Automation Engineer

Job Description

AI & Automation Engineer Job Description

AI & Automation Engineer

Job Details

• Company: Braviant Holdings
• Location: Addison, TX (On-site, 4 days/week in-office within DFW metro area)
• Function: Technology
• Reports to: Head of AI & Automation
• Level: Associate / Mid-Level
• Work Authorization: US citizens or authorized workers only. No visa sponsorship available. Must reside in Texas.
  
  

About The Role

Braviant Holdings is building a new AI & Automation practice and is hiring two hands-on engineers to design, deploy, and govern AI-powered automation workflows. This greenfield role focuses on replacing manual processes with agentic AI in areas like consumer lending originations, credit risk, compliance, and internal operations.

You will build production-grade agents using the Anthropic ecosystem (Claude, Claude Code), AWS infrastructure, and the preferred Strands Agents SDK (with flexibility to use CrewAI, LangGraph, etc.).

Key Responsibilities

Agent & Workflow Development

• Design and build AI agent workflows to automate business processes.
• Migrate manual processes into governed, production-grade pipelines with human-in-the-loop checkpoints.
• Utilize Strands Agents SDK as the default framework, selecting alternative tools (e.g., CrewAI, LangGraph) where appropriate.
• Implement structured outputs, function calling, and tool-use patterns to connect LLMs with business logic.
  
  

Tool Integration & Automation Engineering

• Manage and build MCP (Model Context Protocol) servers/clients for secure API and data access.
• Develop skills, plugins, and tool integrations for AI platforms like Claude.
• Integrate AI capabilities via REST APIs, event queues, and AWS services.
• Implement lightweight automation connectors (n8n, Zapier, Make) for specific workflows.
  
  

Observability & Responsible AI

• Instrument workflows with logging, tracing, and alerting for auditing and debugging.
• Implement guardrails, usage controls, and compliance standards for AI deployments.
• Contribute to responsible AI documentation, runbooks, and incident response playbooks.
• Stay current on agentic AI developments and regulatory requirements.
  
  

Collaboration

• Partner with business stakeholders to translate requirements into technical specs.
• Contribute to shared frameworks, reusable components, and engineering standards.
• Participate in design and code reviews.
  
  

Requirements

Required

• 2–4 years of software engineering experience with production Python and SQL.
• Proven experience shipping AI/ML or LLM-powered solutions in real production environments.
• Practical experience with agentic/LLM orchestration frameworks (Strands, LangGraph, CrewAI, AutoGen, etc.).
• Experience integrating AI services via APIs and building function-calling patterns.
• Familiarity with AWS and cloud-native architecture.
• Daily use of AI-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot).
• Strong skills in prompt engineering and structured outputs.
• Excellent written communication for technical and compliance documentation.
• Bachelor's degree in Computer Science, Engineering, or similar technical field (or equivalent experience).
  
  

Preferred

• Experience with Amazon Bedrock, Bedrock AgentCore, or Strands Agents SDK.
• Experience with MCP servers/clients and plugin development.
• Background in fintech, consumer lending, or regulated financial services.
• Familiarity with RAG architectures, vector databases, or knowledge graphs.
• Knowledge of application security (auth, secrets, RBAC, audit logging).
• Experience with AI observability and evaluation practices.
  
  

Benefits & Perks

• Competitive compensation and annual discretionary bonus plan.
• Comprehensive healthcare (medical, dental, vision).
• Generous PTO, sick time, and 13 company holidays.
• 401(k) with company contribution.
• Regular team and company gatherings.