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.
Skills Required
- Hands-on experience with Gemini 2.5, GitHub Copilot, Glean, or similar LLM-based tools
- Understanding of LLM architectures, embeddings, and retrieval-augmented generation
- Proficiency in Python, JavaScript, TypeScript, or similar programming languages
- Experience with AWS, Azure, or GCP and AI/ML deployments
- Familiarity with vector databases such as Pinecone, Weaviate, FAISS, or Milvus
- Knowledge of ML pipelines, APIs, and prompt engineering
- Healthcare industry background or prior healthcare AI/ML project experience
- Experience with enterprise search systems and AI-driven knowledge management tools
- Exposure to LangChain, LlamaIndex, Hugging Face, OpenAI API, or similar frameworks
- Experience with AI copilots for development, clinical data processing, or decision support
- Understanding of healthcare data privacy and compliance, including HIPAA and PHI handling
What We Do
KANINI is a digital transformation enabler, providing cutting-edge software services and solutions that help enterprises drive innovation and business growth. We create impeccable customer experiences through thoughtfully designed digital solutions that help improve our customer’s efficiency, scale, and revenues. We specialize in Product Engineering, Data Analytics & AI, and ServiceNow consultation and implementation. We focus on empowering Banking & Financial Services, Healthcare, Manufacturing, and a few other industries to leverage new-age technologies and solutions by implementing agile development practices and a global delivery framework. We build technology that puts humans first - in line with our core operating principle that technology is for people, not the other way around. The result is happier clients, partners, and employees. We do all this by balancing our customers’ needs with our people’s aspirations, always putting humans first. It means: * We prioritize each individual’s personal goals. * We value relationships more than profits. * We treat our clients as partners. Our people come to work because it makes them happy. They smile more often. They love getting better at what they do. And our offices become a second home. Even as they spend more time away from it. If you think all this is just as important to you, bring us your Energy, Intellect and Integrity. We’ll show you a happier way to work
