Applied AI Engineer

Job Description

The Applied AI Engineer is a hands-on technical role responsible for rapidly prototyping and validating GenAI, Agentic AI, and ML-powered solutions across Hibu’s business units. Based in the central AI/Enterprise Architecture team and deployed on rotational engagements with Sales & Marketing, Operations, and Product teams, this role translates business problems into working AI proof-of-concepts within weeks, not months. The Applied AI Engineer works primarily at the AI platform integration layer—orchestrating foundation models via AWS Bedrock, building agentic workflows with MCP (Model Context Protocol), designing prompt systems, and wiring AI capabilities into enterprise platforms such as Salesforce. Once a POC is validated, this role pairs with the receiving engineering team to transition the solution into production. The position requires equal comfort writing production-quality code, facilitating business stakeholder workshops, and navigating ambiguity in rapidly evolving AI technology landscapes.

Primary Responsibilities:

•  Partners with business and engineering teams to identify high-value AI use cases and translate them into scoped proof-of-concept projects
• Rapidly builds and iterates on GenAI and Agentic AI prototypes—targeting POC delivery in 2–4 weeks—using foundation models, prompt engineering, and agentic orchestration patterns
•  Designs and implements agentic AI workflows leveraging Model Context Protocol (MCP) for enterprise integrations with Salesforce, marketing automation systems, customer data platforms, and internal tools
•  Builds on Hibu’s AI platform stack including AWS Bedrock, Claude/GPT model orchestration, prompt system design, RAG pipelines, and API-first integration patterns
• Pairs with receiving engineering teams (2–3 sprints) to transition validated POCs into production, including architecture documentation, pair-coding sessions, and knowledge transfer
•  Evaluates emerging AI technologies, frameworks, and tools (e.g., AWS Strands Agents, LangGraph, CrewAI) and recommends adoption based on feasibility, cost, and alignment with Hibu’s platform strategy
• Creates concise POC documentation including solution architecture, prompt designs, integration patterns, success criteria, and transition plans for engineering handoff
•  Presents POC results, demos, and recommendations to both technical and business audiences, translating AI capabilities into business value language
•  Contributes learnings, reusable components, and best practices to Hibu’s AI & Automation Hub and internal knowledge base
• Adheres to AI governance guidelines, responsible AI practices, data privacy protocols, and security standards (OWASP LLM Top 10, NIST AI RMF) during all prototyping and integration work
• Stays current with AI/ML trends through continuous learning, experimentation, and active engagement with foundation model releases, agentic AI developments, and enterprise AI integration patterns

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 developmentRequired
• Hands-on experience building LLM-powered applications (RAG, prompt engineering, agentic workflows) shipped to real users or business stakeholdersRequired
• Production-level proficiency in Python and/or TypeScript for rapid prototyping and application developmentRequired
• 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 Agentcoreor equivalent)Required
• Salesforce ecosystem familiarity and CRM integration experiencePreferred
• Familiarity with AI evaluation frameworks, prompt testing, and LLM output quality assurancePreferred
• Experience in digital marketing technology, SMB SaaS platforms, or sales/marketing operationsPreferred
• Demonstrated ability to facilitate business discovery sessions and present POC demos to non-technical stakeholdersRequired
• Experience pairing with engineering teams to transition prototypes into production systemsRequired
• Experience with AI-DLCPreferred
• Agile ScrumRequired

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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 [email protected] : 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