AI Engineers (Gemini 2.5)

Senior Manager - Talent Acquisition @ KANINI Software Solutions 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 .

Seniority level Associate

Employment type Full-time

Job function Health Care Provider

Industries Software Development

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) .

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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