Overview
Job Description
AI/ML Operations Engineer
- Demonstrated enterprise application engineering experience, including architecture, integration, testing, deployment, and production support.
- Hands-on experience delivering AI-enabled solutions using LLMs, RAG, intelligent agents, or comparable Generative AI patterns.
- Ability to design secure, scalable solutions with appropriate evaluation, observability, governance, and Responsible AI controls.
- Strong communication and collaboration skills across business, architecture, engineering, data, security, and platform stakeholders.
- Cloud & AI Platforms: Google Cloud Platform, Vertex AI, Gemini models, Azure AI, Azure OpenAI, Anthropic Claude APIs, and OpenAI APIs; GECP experience where applicable
- Agentic AI: LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, or comparable agent frameworks
- Generative AI: LLM endpoints, prompt engineering, embeddings, vector databases, RAG, evaluation, guardrails, and model optimization
- Enterprise Engineering: REST APIs, microservices, event-driven architectures, enterprise integration patterns, and secure application design
- Developer Productivity: Claude Code, GitHub Copilot, Microsoft Copilot, Gemini Code Assist, GitHub, and Azure DevOps
- Flexible remote and hybrid work opportunities
- Continuous learning and professional development programs
- A culture that prioritizes employee wellbeing
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other protected status. INSPYR Solutions complies with all applicable laws governing nondiscrimination in employment in every location in which the company has facilities.Applicants requiring reasonable accommodation during the application or interview process should contact HR@inspyrsolutions.com
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