INSPYR Solutions · 5 hours ago
AI Engineer
Spring, TX
Full-time
Hybrid
Senior Level
5+ years expINSPYR Solutions is a national expert in delivering flexible technology and talent solutions, and they are seeking a Sr. AI Engineer/Data Scientist. The role involves designing and implementing production-grade Generative AI systems, collaborating with cross-functional teams, and mentoring junior engineers and data scientists.
Human ResourcesInformation TechnologyProfessional ServicesStaffing Agency
No H1B
Responsibilities
Design, build, and deliver production-grade Generative AI systems, with a strong emphasis on agentic AI, autonomous workflows, and multi-agent architectures
Architect and implement end-to-end intelligent systems leveraging large language models (LLMs), retrieval-augmented generation (RAG), vector databases, and orchestration frameworks
Develop AI agents capable of reasoning, planning, tool use, memory management, and action execution to support complex business workflows and automation use cases
Build, test, and deploy scalable GenAI services using Python-based APIs, cloud-native architectures, and real-time inference pipelines
Apply advanced prompt engineering, model fine-tuning, and evaluation techniques to ensure accuracy, reliability, and alignment of LLM-powered systems
Implement LLMOps and MLOps best practices, including versioning, monitoring, evaluation, governance, and CI/CD for AI systems in production
Collaborate with cross-functional teams (engineering, digital, analytics, product, and business stakeholders) to translate requirements into robust AI-driven solutions
Integrate machine learning models where appropriate to complement GenAI capabilities, including predictive models, classifiers, and optimization techniques
Evaluate emerging GenAI frameworks, agentic platforms, and LLM technologies to drive innovation and continuously improve system performance
Support data-driven decision-making by delivering interpretable, traceable, and resilient AI solutions aligned with business objectives
Mentor and guide junior engineers and data scientists on GenAI architecture, AI engineering best practices, and responsible AI development
Qualification
Required
Strong experience in GenAI and LLMs is key for this position
5 years of professional experience in an enterprise environment is required
Deep hands-on experience with Generative AI, Large Language Models (LLMs), and agentic AI frameworks
Strong expertise in RAG architectures, vector databases, embedding strategies, and semantic search
Advanced proficiency in Python, with solid software engineering fundamentals and experience building scalable APIs and services
Experience implementing multi-agent workflows, tool/function calling, memory management, and orchestration of autonomous systems
Strong understanding of machine learning fundamentals, model training, evaluation, and applied ML (now secondary to GenAI)
Practical experience with MLOps / LLMOps, including deployment, monitoring, evaluation pipelines, and governance
Familiarity with cloud platforms and AI services (Azure preferred), including managed AI/ML services and cloud-native deployment patterns
Ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders
Proven ability to solve complex problems with pragmatic, production-ready AI solutions
Strong collaboration skills and an entrepreneurial mindset focused on experimentation, scalability, and business impact
5+ years of experience in AI, Machine Learning, Data Science, or Software Engineering, with recent hands-on focus on GenAI and LLM-based systems
Prior experience operating as a senior-level individual contributor on complex, production AI initiatives
Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field (or equivalent practical experience)
Preferred
Master's degree in AI, Machine Learning, Data Science, Computer Science, or a related discipline
Microsoft or LinkedIn certifications in Generative AI
Azure AI Fundamentals
Azure AI Engineer Associate
Other relevant AI, ML, or cloud certifications focused on applied and production AI systems
Company
INSPYR Solutions
INSPYR Solutions is a information technology staffing service providers.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Gregg Straus
Executive Vice President & Chief Financial Officer
Michelle Wren
Chief Operating Officer
Recent News
2025-09-12
Company data provided by crunchbase