Lead Applied AI Engineer - Information Technology - Analysts
Job in
Tampa, Hillsborough County, Florida, 33646, USA
Listed on 2026-10-04
Listing for:
MassGenics, Inc.
Full Time
position Listed on 2026-10-04
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Job Tampa , Florida Job Type: Contract Added - 2 days ago
Job DescriptionA client of Innova Solutions is immediately hiring for an Lead Applied AI Engineer
Position type: Full-Time Contract (W2)
Role:
Lead Applied AI Engineer
Duration: 6+ Months Contract
Location: Tampa, FL And Nashville, TN/Hybrid
Key Responsibilities and Qualifications- Experience building, delivering, or supporting AI-enabled solutions using Large Language Models (LLMs), Generative AI, AI Agents, Retrieval-Augmented Generation (RAG), vector databases, AI orchestration frameworks, or related AI technologies in enterprise environments.
- Understanding of Responsible AI principles, including AI governance, security, privacy, transparency, human oversight, and model evaluation best practices.
- Demonstrated ability to effectively leverage AI tools and assistants to improve individual productivity, accelerate delivery, enhance decision-making, automate routine tasks, and improve quality across day-to-day work activities.
- Strong AI literacy, including the ability to evaluate AI-generated outputs, apply critical thinking and human judgment, and identify appropriate use cases for AI-driven solutions.
- Preferred: Hands-on experience with Python and/or .NET technologies for developing, integrating, and operationalizing AI-enabled applications and services.
- Continuous learner with a passion for staying current on emerging AI technologies, practices, and industry trends.
This position is only open to applicants who can be engaged on a W-2 basis. 1099 contractors and Corp-to-Corp arrangements will not be considered for this position.
Preferred Skills (Recommended for All Engineering-Focused Applied AI Roles)- Experience with Python, .NET, cloud-native application development, APIs, microservices, and modern software engineering practices.
- Experience with Azure OpenAI, Azure AI Foundry, Microsoft Copilot technologies, AI orchestration frameworks, vector databases, and enterprise AI platforms.
- Experience developing, integrating, deploying, or operating AI-enabled applications in Azure cloud environments.
- 6+ years of full-stack software engineering experience with most of the following:
Angular, React, NodeJS, Python, C#, .NET, Java, SQL/No
SQL, PyTorch, Tensor Flow, Lang Chain, Lang Graph, as well as unit and integration testing frameworks. - 3+ years of experience building AI/ML and agentic applications, with hands-on GenAI experience across LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, vector databases, evaluations, and AI agent orchestration.
- 3+ years of experience with cloud-native engineering, using FaaS, PaaS, or micro-services on any of the cloud hyperscalers such as Azure, AWS, or GCP, including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI, plus application-level infrastructure-as-code and cost-aware engineering (Fin Ops accountability)
- Prior experience in establishing engineering standards, including actively leading, mentoring, and guiding team members in the adoption and continuous improvement of these standards.
- Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
- Medical & pharmacy coverage, Dental/vision insurance, 401(k), Health saving account (HSA) and Flexible spending account (FSA), Life Insurance, Pet Insurance, Short term and Long term Disability, Accident & Critical illness coverage, Pre-paid legal & protection, Sick time, and other types of paid leaves (as required by law), Employee Assistance Program (EAP).
Pay Range*:
Between $75 - $80/- per hour
* Pay range offered to a successful candidate will be based…
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