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AI Engineering Lead

KANINI · Nashville Metropolitan Area · no salary listed · via jobspy:linkedin
78
Open listing

Fit analysis

The candidate possesses exceptional full-stack engineering depth, strong leadership experience, and proven ability to build complex, high-availability systems (IoT/B2B). However, the resume lacks explicit evidence of hands-on experience with core AI concepts like LLMs, RAG, or vector databases, which are central requirements for this specific 'AI Engineering Lead' role.

Where you fit

  • Full-Stack Development: Proficient in modern frameworks (Next.js, React, Node.js) and database management (PostgreSQL), demonstrated across multiple roles.
  • Complex System Architecture: Proven ability to architect high-availability systems, specifically managing telemetry pipelines for 1,800+ physical assets (Rust/JavaScript).
  • B2B E-commerce Expertise: Deep experience building headless B2B portals using Next.js and Shopify, including integrating custom product configurators.
  • Data Integration & Backend Logic: Strong background in complex data flow management, utilizing GraphQL (Hasura) to bridge disparate systems (e-commerce/blockchain).
  • Operational Leadership: Demonstrated ability to lead rapid launches, manage end-to-end operations (inventory, AR/AP), and drive measurable process improvements (30% quote accuracy increase).
  • Infrastructure Scaling: Experience designing and implementing scalable power and network infrastructure for zero-disruption rollouts.

Where you may struggle

  • AI/ML Application Development: The resume does not show any direct experience building or deploying applications using Large Language Models (LLMs), Retrieval Augmented Generation (RAG), or vector databases, which is the core focus of the job.
  • Cloud AI Services: While cloud infrastructure is mentioned, there is no evidence of working with specific modern AI services like Azure OpenAI, Bedrock, or Vertex AI.
  • MLOps/DevSecOps Tools: The resume lacks mention of industry-standard MLOps tools (e.g., MLflow) or advanced DevSecOps practices required for an Engineering Lead role.
  • Language Stack Diversity: While proficient in Rust and JavaScript, the JD requires experience across Python, C#, .NET, Java; this breadth is not demonstrated.
  • Years of Experience: The candidate has approximately 6 years of professional experience, which is slightly under the requested 6–8+ years for a Lead role.

Cover letter

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

Questions from the bot

Do you have hands-on experience implementing RAG pipelines? If so, what was your specific role in selecting the vector database and managing chunking/embedding?
Have you worked with LLMs or prompt engineering to solve a business problem? Could you describe the architecture of that solution?
What is your level of comfort using cloud-native AI services (e.g., AWS Bedrock, Azure OpenAI)? Have you built an application utilizing one of these APIs?

Timeline

2026-10-23 04:05:51
scored 78: The candidate possesses exceptional full-stack engineering depth, strong leadership experience, and proven ability to build complex, high-availability systems (IoT/B2B). However, the resume lacks explicit evidence of hands-on experience with core AI concepts like LLMs, RAG, or vector databases, which are central requirements for this specific 'AI Engineering Lead' role.
2026-10-23 04:04:56
found Found via jobspy:linkedin