AI/ML Engineer

KANINI Software Solutions • Custom Software Development • AI Consulting & Integration • Python • JavaScript • TypeScript • 4 days ago

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First seen by Alion on Oct 12, 2026.

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KANINI Software Solutions

KANINI is an AI-first business transformation enabler with deep expertise in data engineering, product engineering, AI, and ServiceNow.

kanini.com • HQ: Bengaluru, India • AI Consulting & Integration • Custom Software Development

Tech stack of KANINI Software Solutions

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

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