AI Engineering Lead

KANINI; Nashville (TN); Hybrid; USD 150,000 - 230,000; Full time

Job summary

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 tools to accelerate delivery. The role is hybrid with onsite collaboration three days a week and limited sponsorship.

Qualifications

• 6–8 years 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.

Responsibilities

• 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.

Skills

Angular

React

NodeJS

Python

C#

.NET

Java

SQL/NoSQL

LLMs

RAG

Vector DBs

Prompt engineering

Azure

AWS

GCP

Azure OpenAI

Bedrock

Vertex AI

GitHub/ADO

SonarQube

MLflow

Agentic AI frameworks

DevSecOps

SRE

Tools

Azure

AWS

GCP

Azure OpenAI

Bedrock

Vertex AI

GitHub

ADO

SonarQube

MLflow

Agentic AI frameworks

Job description

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