Internal AI Job Board

AI and Automation Engineer

Braviant Holdings - Addison, TX (4 days/week in-office)

This role is part of the Internal AI Job Board, a curated list of jobs for teams building or operating internal AI systems. Follow the original role page for the employer description, requirements, and application flow.

Responsibilities

• We are building out a new AI & Automation practice at Braviant and are hiring two AI and Automation Engineers to join the team. These are hands-on builder roles focused on designing, deploying, and governing AI-powered automation workflows across our business, spanning consumer lending originations, credit risk, compliance, collections, and internal operations.
• You will report to the Head of AI & Automation and work closely with stakeholders across the business to identify manual and semi-automated processes that can be replaced or accelerated by agentic AI workflows. Day-to-day, this means building agents that do real things: routing decisions, processing documents, triggering actions across systems, escalating exceptions to humans, and logging everything so we can audit and improve over time.
• This is a greenfield role at a company that uses Claude, Claude Code, and the broader Anthropic ecosystem as primary AI infrastructure. You will build on top of those tools and extend them. We are an AWS shop, and our preferred agentic framework is Strands Agents SDK, though we expect you to choose the right tool for the problem and bring framework judgment, not just framework familiarity.
• If you are early in your AI engineering career and want to own real production systems rather than prototype demos, and if you want to build in a regulated, high-stakes environment where the quality of your work actually matters, this role is for you.

Qualifications

• • 2 to 4 years of software engineering experience with production Python and SQL; additional languages a plus
• • Hands-on experience building and shipping AI/ML or LLM-powered solutions in real production environments, not just coursework or personal projects
• • Practical experience with at least one agentic or LLM orchestration framework (Strands, LangGraph, CrewAI, AutoGen, LlamaIndex, or similar)
• • Experience integrating AI services via APIs and building tool-use or function-calling patterns with LLMs
• • Familiarity with AWS and cloud-native architecture patterns
• • Active daily use of AI-assisted development tools such as Claude Code, VS Code with Cline, Cursor, GitHub Copilot, or similar — this is table stakes, not a differentiator
• • Experience with prompt engineering and structured outputs; comfort iterating on prompts as a core part of building
• • Strong written communication — you can document a workflow clearly enough for a compliance reviewer, not just another engineer
• • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
• • Direct experience with Amazon Bedrock, Bedrock AgentCore, or the Strands Agents SDK
• • Experience building or consuming MCP servers and clients
• • Familiarity with skills and plugin development for Claude, Microsoft Copilot, or similar AI platforms
• • Experience with OpenClaw, Hermes Agent, HyperAgent, or similar open-source agent frameworks
• • Familiarity with workflow automation platforms such as n8n, Zapier, Make, or similar
• • Background in fintech, consumer lending, payments, or another regulated financial services environment
• • Familiarity with RAG architectures, vector databases, or knowledge graph approaches
• • Working knowledge of application security fundamentals: auth, secrets management, RBAC, and audit logging
• • Familiarity with observability and evaluation practices for AI systems: logging, tracing, prompt evaluation, and model monitoring

Apply on the original posting