AI/ML Engineer

RemoteRemoteContractPosted 26 days agoHidden Gem · Himalayas

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Required skills

AI Engineer
LLMs
Gemini 2.5
GitHub Copilot
Glean
generative AI
LLM architectures
embeddings
RAG
Python

Nice to have

Healthcare industry
AI/ML healthcare projects
enterprise search systems
LangChain
LlamaIndex
Hugging Face

Role summary

We are seeking a skilled AI/ML Engineer with expertise in Large Language Models (LLMs) and generative AI tools like Gemini 2.5, GitHub Copilot, and Glean. The role involves designing, developing, and deploying AI solutions to enhance productivity and innovation. Responsibilities include integrating AI tools into workflows, fine-tuning models for specific use cases, and ensuring ethical AI usage. Experience with cloud platforms, vector databases, and programming languages like Python is required. Healthcare industry experience is a strong plus.

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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