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.

Role Overview 
A highly skilled ML/AI Engineer or Data Scientist specializing in agentic AI possesses deep expertise in architecting and developing end to end intelligent solutions using AI agents, multi agent workflows, and modern agentic platforms.
 
Core Technical Skills

• Agentic AI & LLMs: Proficient in large language models (LLMs), retrieval augmented generation (RAG), vector databases, and orchestration frameworks to design autonomous, context aware systems that reason, plan, and act. Skilled in prompt engineering, model fine tuning, and integrating emerging AI capabilities — such as tools, function calling, memory, and real time inference — into robust, production grade architectures that drive automation and intelligent workflow optimization.
• Traditional ML: Solid foundation in classical machine learning algorithms including regression, classification, clustering, and ensemble methods (e.g., Random Forest, XGBoost). Able to select, train, and evaluate the right model for structured data problems, applying feature engineering, cross validation, and hyperparameter tuning while understanding the trade offs between traditional approaches and deep learning solutions.
• DevOps & MLOps: Proficient in CI/CD pipelines, containerization (Docker, Kubernetes), and cloud platforms (Databricks, AWS, GCP, Azure). Experienced with infrastructure as code, automated testing, and deployment strategies such as blue green and canary releases. Skilled in MLOps tooling — including experiment tracking (MLflow, Weights & Biases), model registries, and observability stacks — to ensure reliable, scalable, and auditable delivery of AI systems from development to production.

 
Experience Requirements

• Overall Experience: 7–10 years of hands on experience in machine learning, AI engineering, or data science, with a proven track record of delivering end to end AI solutions in production environments.
• Agentic & GenAI Experience: 2–3 years of focused experience working with LLMs, agentic frameworks, and generative AI technologies, including real world deployment of RAG pipelines or multi agent systems. 

 
 
Leadership & Collaboration

• Team Leadership: Demonstrated experience leading and mentoring cross functional AI/ML teams of 3–5 engineers, setting technical direction, conducting code reviews, and driving best practices across the team.
• Stakeholder Management: Ability to communicate complex AI concepts clearly to non technical stakeholders, align on priorities, and present findings and recommendations to senior leadership.
• Project Ownership: Proven ability to own the full project lifecycle — from scoping and architecture through to deployment and iteration — while managing timelines, risks, and dependencies in an agile environment.

 
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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