Applied AI Engineer

Competencies & Critical Skills:

• Production-level proficiency in Python and/or TypeScript with ability to rapidly prototype and ship working AI applications 
• Hands-on experience building LLM applications: prompt engineering at system level, RAG pipelines, agentic workflows (LangChain, LangGraph, or equivalent frameworks)
• Strong working knowledge of foundation models (Claude, GPT, Gemini) and their enterprise integration patterns
• Experience with cloud AI platforms (AWS Bedrock preferred; Azure AI or Google Vertex AI acceptable) and API orchestration
• Understanding of Model Context Protocol (MCP) or similar AI-system integration patterns (tool use, function calling, agent-to-service communication)
• Strong communication skills with ability to run business stakeholder discovery sessions, present POC demos, and explain AI tradeoffs without jargon 
• Comfort with ambiguity—can walk into a new business team, listen to unstructured problems, and define a scoped POC independently
• Strong handoff discipline—documents architecture decisions, writes transition guides, and pairs effectively with receiving engineering teams
• Innovative mindset with ability to experiment quickly, fail fast, and iterate toward effective AI-native solutions

**Experience and Qualifications:**Required/ Preferred:

• Bachelor’s Degree in Computer Science, Software Engineering, AI/ML, or related field Required
• 5–8 years of software engineering experience with at least 2 years focused on AI/ML application development                                                                                                                Required
• Hands-on experience building LLM-powered applications (RAG, prompt engineering, agentic workflows) shipped to real users or business stakeholders                                             Required
• Production-level proficiency in Python and/or TypeScript for rapid prototyping and application development                                                                                                                     Required
• Experience with cloud AI platforms (AWS Bedrock preferred; SageMaker, Azure AI, or Vertex AI acceptable)                                                                                                                   Required
• Strong API integration skills (REST, webhooks, MCP or similar agent-to-service patterns)                                                                                                                                                 Required
• Experience with agentic AI frameworks/platforms (LangChain, LangGraph, CrewAI, AWS Strands Agents, Claude Managed Agents, AWS Agentcore or equivalent)                            Required
• Salesforce ecosystem familiarity and CRM integration experience                                                                                                                                                                                      Preferred
• Familiarity with AI evaluation frameworks, prompt testing, and LLM output quality assurance                                                                                                                                            Preferred
• Experience in digital marketing technology, SMB SaaS platforms, or sales/marketing operations                                                                                                                                      Preferred
• Demonstrated ability to facilitate business discovery sessions and present POC demos to non-technical stakeholders                                                                                                    Required
• Experience pairing with engineering teams to transition prototypes into production systems                                                                                                                                              Required
• Experience with AI-DLC                                                                                                                                                                                                                                                        Preferred
• Agile Scrum                                                                                                                                                                                                                                                                           Required

IND10

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Working with us means joining a team of truly extraordinary people working to improve communities across the country. Joining our team means not only working in a fun environment with smart people, but also being able to take advantage of our competitive compensation, ongoing training, incentives, and generous benefits package.
Learn more about the Hibu culture here: Culture at Hibu

NOTE: Hibu is an Equal Opportunity Employer, and consistent with applicable law, provides reasonable accommodations for qualified individuals with disabilities and disabled veterans in completing our job application process. If you need reasonable accommodation and/or are having difficulty completing our online application process due to a disability you may use the following email address applicationaccomodation@hibu.com : Please include your name and contact information and the title of the position you are interested in. Note: this is not for general employment inquires or correspondence. Hibu will only respond to requests related to those who need assistance with the online application process due to a disability