AI/ML Engineer

KANINI

Location
United States
Arrangement
Remote (US)
Type
Full-time
Posted
Closes
Tools
Gemini, GitHub Copilot, Glean, Python, AWS, Azure, GCP, Pinecone

Job description

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.


Encoded

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.


Originally posted on Himalayas

Timezone

  • 10

H3

This is a remote position.

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  • 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.

B

strong plus

Ul

  • 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.

Li

Proven hands-on experience with Gemini 2.5, GitHub Copilot, Glean, or similar LLM-based tools.

A Himalayas

Expiry Date

Fri, 11 Dec 2026 12:51:23 GMT

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