Title: Sr. AI Engineer/Data Scientist
Location: Spring, TX (Hybrid – 3 days onsite in 77389)
Duration: Direct-Hire
Work Requirements: US Citizen, GC Holders or Authorized to Work in the US. W2/Direct-employment only.

Key Points:

• Strong experience in GenAI and LLMs is key for this position.
• 5 years of professional experience in an enterprise environment is required.

Job Duties/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.

 
Knowledge, Skills, and Abilities 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.

 
Minimum Years of Experience

• 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.

 
Education Requirements

• Required: 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.

 
Preferred Certifications / Professional Development

• 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

 
 
About INSPYR Solutions:
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
 
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, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

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