TL;DR
Principal AI Applications Engineer (AI Engineering): Building an AI-native enterprise ERP system from scratch with an accent on AI/ML integration, prompt engineering, and scalable distributed systems. Focus on solving complex technical challenges, mentoring engineers, and driving innovation in AI-powered ERP software development.
Location: US Remote
Salary: $81,500 - $142,750
Company
hirify.global delivers software and information solutions for project-based businesses, recognized globally for its values-driven culture and market leadership.
What you will do
- Implement technically challenging AI-powered ERP platform features and complex integrations
- Develop reference implementations and coding patterns for AI-enhanced features
- Implement prompt engineering and LLM integration ensuring security, performance, and cost-effectiveness
- Collaborate with architects on prototypes and validate technical approaches
- Mentor senior engineers and provide technical leadership across teams
- Drive innovation through hands-on proof-of-concepts exploring novel ERP AI approaches
Requirements
- Must be based in the US or eligible to work remotely from the US
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Data Science, or related field
- 10+ years of software engineering experience with extensive AI/ML systems implementation
- Expertise in Java, Python, distributed systems, microservices, PostgreSQL, cloud platforms (AWS/Azure/OCI)
- Strong skills in LLM systems, prompt engineering, RAG architectures, and AI/ML integration
- Proven technical leadership and mentoring experience
Nice to have
- Interest in AI ethics and prompt safety considerations
- Experience with conversational AI systems and natural language processing
Culture & Benefits
- Access to healthcare benefits, 401(k) plan with company match
- Paid vacation time and holidays
- Well-living programs and disability coverage
- Tuition reimbursement and supportive growth environment
- Values-driven, inclusive culture recognized globally
Hiring process
- Technical interviews assessing AI/ML and software engineering expertise
- Evaluation of problem-solving and leadership skills
- Discussion of cultural fit and collaboration approach
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