Pay: Salary not listed in the saved posting
Work setup: Remote stated — work setup source
This is a remote position. Job Summary:
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Employment: Unconfirmed

What you’ll work on

Design and implement AI-driven solutions leveraging Gemini 2.5, Copilot, Glean, and other LLM-based platforms.
Collaborate with product, engineering, and data science teams to build scalable AI applications.
Ensure compliance, security, and ethical usage of AI in production.

From the employer’s posting

Key Responsibilities: Design and implement AI-driven solutions leveraging Gemini 2.5, Copilot, Glean, and other LLM-based platforms. Integrate generative AI tools into enterprise workflows to improve knowledge management, search, and automation.

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.

What you’ll bring

All qualifications

Preferred experience

Experience with enterprise search systems and AI-driven knowledge management tools.
Strong understanding of data privacy and compliance (HIPAA, PHI handling, etc.) in healthcare.

Qualification wording

Experience with enterprise search systems and AI-driven knowledge management tools.

Strong understanding of data privacy and compliance (HIPAA, PHI handling, etc.) in healthcare.

Tools in this posting

AWS
Azure
Python
JavaScript
TypeScript
Google Cloud (GCP)
Huggingface

Source

- Proficiency in Python, JavaScript/TypeScript, or similar programming languages. - Experience with cloud platforms (AWS, Azure, GCP) and AI/ML deployments. - Familiarity with Vector Databases (Pinecone, Weaviate, FAISS, Milvus, etc.).

- Solid understanding of LLM architectures, embeddings, and retrieval-augmented generation (RAG). - Proficiency in Python, JavaScript/TypeScript, or similar programming languages. - Experience with cloud platforms (AWS, Azure, GCP) and AI/ML deployments.

- 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.

Job description

View original posting ↗

This is a remote position.

Job Summary:

· We are looking for highly skilled AI Engineers with expertise in Large Language Models (LLMs) and hands-on experience with advanced AI platforms such as Gemini 2.5, GitHub Copilot, Glean, and other generative AI tools.

· 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 Gemini 2.5, Copilot, Glean, and other 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).
Proficiency in Python, JavaScript/TypeScript, or similar programming languages.
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.

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on kanini.zohorecruit.in. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

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Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay: No pay amount identified in the saved description.
Location & working pattern: Location not supplied.
This is a remote position. Job Summary:
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at kanini.zohorecruit.in ↗Read the full description ↓