K
AI Engineering Lead
KANINI
5 hours ago
Full-time
On-site
Nashville, Tennessee, United States
Kanini is seeking a hands‑on
Applied AI Engineering Lead
to drive high‑impact engineering initiatives and deliver AI‑powered solutions for our customers. You’ll lead design, development, and deployment across multiple projects while mentoring engineers, shaping technical standards, and using modern AI/agentic tools to accelerate delivery.
What You’ll Do
Lead end‑to‑end engineering: requirements, architecture, development, testing, integration, and support
Build high‑quality, scalable solutions using modern frameworks and cloud‑native architectures
Apply GenAI, LLMs, RAG, vector databases, and agentic engineering practices across the SDLC
Create technical specs, write clean code, and review/mentor engineers to uphold quality
Partner with product, experience, and delivery teams to ensure customer‑aligned outcomes
Use AI tools for code generation, testing, documentation, and rapid prototyping
Engage with customers to understand needs and deliver the right solution at the right time
Drive engineering standards, lean experimentation, and continuous improvement
What You Bring
6–8 years of software engineering experience across: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL
2+ years building AI/ML applications (LLMs, RAG, vector DBs, prompt engineering)
Experience with cloud platforms (Azure, AWS, GCP) and AI services (Azure OpenAI, Bedrock, Vertex AI)
Strong understanding of OOP/OOD, data structures, algorithms, diagrams, and modern engineering practices
Experience with DevSecOps, Lean/XP, SRE, GitHub/ADO, SonarQube, MLflow, or agentic AI frameworks
Ability to lead workstreams, mentor engineers, and collaborate in fast‑paced environments
Strong communication skills and ability to translate business needs into technical solutions
Ability to work onsite 3 days/week; limited sponsorship available; 0–10% travel
#J-18808-Ljbffr
Applied AI Engineering Lead
to drive high‑impact engineering initiatives and deliver AI‑powered solutions for our customers. You’ll lead design, development, and deployment across multiple projects while mentoring engineers, shaping technical standards, and using modern AI/agentic tools to accelerate delivery.
What You’ll Do
Lead end‑to‑end engineering: requirements, architecture, development, testing, integration, and support
Build high‑quality, scalable solutions using modern frameworks and cloud‑native architectures
Apply GenAI, LLMs, RAG, vector databases, and agentic engineering practices across the SDLC
Create technical specs, write clean code, and review/mentor engineers to uphold quality
Partner with product, experience, and delivery teams to ensure customer‑aligned outcomes
Use AI tools for code generation, testing, documentation, and rapid prototyping
Engage with customers to understand needs and deliver the right solution at the right time
Drive engineering standards, lean experimentation, and continuous improvement
What You Bring
6–8 years of software engineering experience across: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL
2+ years building AI/ML applications (LLMs, RAG, vector DBs, prompt engineering)
Experience with cloud platforms (Azure, AWS, GCP) and AI services (Azure OpenAI, Bedrock, Vertex AI)
Strong understanding of OOP/OOD, data structures, algorithms, diagrams, and modern engineering practices
Experience with DevSecOps, Lean/XP, SRE, GitHub/ADO, SonarQube, MLflow, or agentic AI frameworks
Ability to lead workstreams, mentor engineers, and collaborate in fast‑paced environments
Strong communication skills and ability to translate business needs into technical solutions
Ability to work onsite 3 days/week; limited sponsorship available; 0–10% travel
#J-18808-Ljbffr