AI/ML Engineer

Remote

Open 5 months, first seen by us 154 days ago

Pay: Pay not listed
Work setting: Remote — work setting source
This is a remote position. Job Summary:
Read the full posting
Employment: Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting

What you’ll work on

Full posting

Integrate generative AI tools into enterprise workflows for knowledge management, search and automation
Fine-tune and optimize AI/LLM models for business and healthcare use cases
Build scalable AI applications with product, engineering and data science teams
Run experiments and benchmarking to ensure high-quality AI deliverables

From the employer’s posting

Integrate generative AI tools into enterprise workflows to improve knowledge management, search, and automation.

Fine-tune and optimize AI/LLM models for specific business and healthcare use cases.

Collaborate with product, engineering, and data science teams to build scalable AI applications.

Conduct experiments, perform benchmarking, and ensure high-quality AI deliverables.

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.

Apply at Kanini Software Solutions

Posting record

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Open 5 monthsWe first saw this posting 154 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jun 2, 2026154 days ago
Recorded sightings: 73
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 154

Up longer than most. Similar jobs usually come down between day 6 and day 69.

From 4,296 similar postings that came down. Coming down is not always a hire.

Kanini Software Solutions is hiring

4 open jobs

Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

JavaScript
Python
TypeScript
AWS
Azure
GCP
Hugging Face

Where the posting names them

- 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.

- 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.).

- 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.

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Your next step

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

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

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.

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