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Software Engineer - AI/ML

LinkedIn NISC Tampa, FL
Mid-Senior level Posted April 5, 2026 12 variants Job link
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Requirements
  • 8-10+ years experience in software development, preferably with at least 3+ years in AI/ML software development.
  • Demonstrated experience shipping AI solutions used by real customers — not just prototypes or academic projects
  • Experience integrating LLMs into applications (prompt engineering, evaluation, fine-tuning, API orchestration)
  • Experience designing RAG pipelines, embeddings workflows, and working with vector databases
  • Experience deploying AI systems in cloud environments (AWS, Azure, GCP)
  • Technical Expertise:
  • Strong Python proficiency and familiarity with ML frameworks (PyTorch, TensorFlow, or equivalent)
  • Experience building scalable APIs and backend services
  • Understanding of agentic architectures, orchestration frameworks, or multi-agent systems
  • Experience optimizing AI performance, cost, and latency in production
  • Familiarity with observability, evaluation frameworks, and model monitoring
  • Builder mentality — you love shipping
  • High ownership — you see problems and move toward them
  • Curiosity about emerging AI capabilities and how to apply them pragmatically
  • Bias toward action and experimentation
  • Comfort operating in evolving AI landscapes
  • Ability to balance speed with engineering discipline
  • Strong communicator who can translate AI capabilities into business value
  • Experience in utilities, broadband, cooperatives, or enterprise SaaS
  • Knowledge of AI safety, evaluation strategies, or explainability techniques
  • Full-stack experience or ability to deliver end-to-end AI features
Preferred Skills
  • 8-10+ years experience in software development, preferably with at least 3+ years in AI/ML software development.
  • Demonstrated experience shipping AI solutions used by real customers — not just prototypes or academic projects
  • Experience integrating LLMs into applications (prompt engineering, evaluation, fine-tuning, API orchestration)
  • Experience designing RAG pipelines, embeddings workflows, and working with vector databases
  • Experience deploying AI systems in cloud environments (AWS, Azure, GCP)
  • Technical Expertise:
  • Strong Python proficiency and familiarity with ML frameworks (PyTorch, TensorFlow, or equivalent)
  • Experience building scalable APIs and backend services
  • Understanding of agentic architectures, orchestration frameworks, or multi-agent systems
  • Experience in utilities, broadband, cooperatives, or enterprise SaaS
  • Knowledge of AI safety, evaluation strategies, or explainability techniques
  • Full-stack experience or ability to deliver end-to-end AI features
  • Portfolio, GitHub, or case studies demonstrating deployed AI systems
  • Experience working with utilities, broadband providers, or cooperatives, preferred.
  • Master's Degree in Artificial Intelligence or Machine Learning, preferred.
Education
  • (Not required) – Bachelor's Degree in a Computer Science, Computer Engineering,  or a related field and/or equivalent experience.
  • (Not required) – Master's Degree in Artificial Intelligence or Machine Learning, preferred.