Sr. Software Engineer

Kanini Software Solutions; Nashville (TN); On-site; USD 100,000 - 130,000; Full time

Job summary

A tech company based in Nashville is seeking an AI Full Stack Software Engineer to design and implement AI-driven solutions using LLM-based platforms. The ideal candidate will have proven hands-on experience with tools like Gemini 2.5 and GitHub Copilot, and a solid understanding of LLM architectures. Responsibilities include collaborating with teams to build scalable applications and integrating generative AI into workflows. Experience in the healthcare industry is a plus. Join a team that's at the forefront of AI innovation!

Qualifications

• Proven hands-on experience with AI-driven tools.
• Solid understanding of LLM architectures and embeddings.
• Experience with AI/ML deployments on cloud platforms.

Responsibilities

• Design and implement AI-driven solutions using LLM platforms.
• Integrate AI tools into enterprise workflows.
• Collaborate with teams to build scalable AI applications.

Skills

Experience with Gemini 2.5

GitHub Copilot proficiency

Understanding of LLM architectures

Cloud platforms (AWS, Azure, GCP)

Knowledge of ML pipelines

Excellent problem-solving

Strong communication skills

Tools

Pinecone

Weaviate

FAISS

Milvus

Job description

Overview

We are looking for an enthusiastic AI Full Stack Software Engineer who is eager to grow in the exciting field of AI‑assisted software development. This role is perfect for someone who is passionate about learning cutting‑edge technologies, helping teams adopt new tools, and making a tangible impact on how software gets built. The ideal candidate will be able to design, develop, and deploy AI‑powered solutions that enhance productivity, accelerate workflows, and drive innovation.

Healthcare industry experience is a strong plus.

Key Responsibilities

• Design and implement AI‑driven solutions leveraging LLM‑based platforms.
• Integrate generative AI tools into enterprise workflows to improve knowledge management, search, and automation.
• Collaborate with product, engineering, and data science teams to build scalable AI applications.
• Fine‑tune and optimize AI/LLM models for specific business and healthcare use cases.
• Conduct experiments, perform benchmarking, and ensure high‑quality AI deliverables.
• Ensure compliance, security, and ethical usage of AI in production.
• Stay up to date with the latest advancements in AI/LLMs, RAG, knowledge graphs, and healthcare AI trends.

Required Skills & Experience

• Proven hands‑on experience with Gemini 2.5, GitHub Copilot, Glean, or similar LLM‑based tools.
• Solid understanding of LLM architectures, embeddings, and retrieval‑augmented generation (RAG).
• Experience with cloud platforms (AWS, Azure, GCP) and AI/ML deployments.
• Familiarity with vector databases (Pinecone, Weaviate, FAISS, Milvus, etc.).
• Knowledge of ML pipelines, APIs, and prompt engineering.
• Excellent problem‑solving, communication, and collaboration skills.

Preferred Qualifications

• Healthcare industry background or prior work on AI/ML healthcare projects (strong plus).
• Experience with enterprise search systems and AI‑driven knowledge management tools.
• Exposure to LangChain, LlamaIndex, Hugging Face, OpenAI API, or similar frameworks.
• Hands‑on with AI copilots for development, clinical data processing, or decision support.
• Strong understanding of data privacy and compliance (HIPAA, PHI handling, etc.) in healthcare.

Kanini Software Solutions, Inc. does not discriminate in employment matters on the basis of race, gender, religion, age, national origin, citizenship, veteran status, family status, disability status, or any other protected class. We support workplace diversity. If you have a disability, please let us know if there is anything we can do to improve the interview process for you; we’re happy to accommodate.

Kanini Software Solutions, Inc., 25 Century Blvd., Ste. 602, Nashville, TN 37214.

Automation, Cloud, AI‑driven Insights – more than “Dreams of the Future” these have become the “Demands of the Present”, to set the stage for a business to be truly digital.