Principal AI Platform Engineer
New
J
JobgetherAI platform engineering
Fully remote-eligible position within the United States.Full-TimePrincipal
Salary139,700 - 232,900 USD per year
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Job Details
- Experience
- Associate’s degree with at least 9 years of systems analysis and/or application development experience, or Bachelor’s degree with at least 7 years of relevant experience; alternatively, a combination of education and experience totaling at least 11 years, including 7 years of systems analysis and/or application development experience.
- Required Skills
- PythonJavaMicrosoft AzureC#RESTful APIsPrompt EngineeringLLMGenerative AI
Requirements
- Have an associate’s degree and at least 9 years of systems analysis and/or application development experience, or a bachelor’s degree and at least 7 years of relevant experience; alternatively, have at least 11 years of combined education and experience, including 7 years of systems analysis and/or application development.
- Demonstrate expert proficiency in at least one relevant programming language and advanced proficiency in at least one additional language, with production experience in Java, Python, C#, or comparable enterprise technologies.
- Have a strong foundation in software engineering principles, algorithms, data structures, distributed systems, and scalable application architecture.
- Have advanced knowledge of Generative AI, large language models, prompt engineering, and enterprise AI application development.
- Have experience designing and integrating RESTful APIs, microservices, reusable services, and API-driven architectures.
- Have experience with CI/CD pipelines, DevOps tooling, automated testing, observability, platform reliability, and production operations.
- Understand Transformer architectures, attention mechanisms, tokenization, model evaluation, benchmarking, and AI application performance.
- Have experience designing AI agents, tool-integrated workflows, and LLM orchestration frameworks.
- Have experience with enterprise AI governance, responsible AI, model risk management, security controls, privacy, and compliance frameworks.
- Be able to influence technical direction and lead complex initiatives across multiple teams and stakeholders.
Responsibilities
- Design, develop, and support enterprise-scale Generative AI solutions for business and technology use cases.
- Lead the architecture, implementation, optimization, and operational support of RAG solutions, including ingestion pipelines, embeddings, vector stores, retrieval frameworks, and semantic search.
- Design, review, and approve agent-based and tool-integrated AI architectures and multi-step LLM workflows.
- Develop and oversee APIs, shared services, and reusable frameworks connecting AI models with internal systems, enterprise platforms, and approved third-party tools.
- Establish prompt-engineering standards, evaluation methodologies, testing frameworks, and benchmarking practices.
- Write and review production code while promoting software engineering excellence across teams.
- Lead technical discussions and translate business objectives into scalable enterprise AI solutions.
- Mentor engineers and contribute to technical roadmaps, architecture standards, platform modernization, and responsible AI practices.
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