Job description
Role Overview
We are seeking a highly skilled Senior AI/ML Developer to design, architect, and deliver enterprise-grade Generative AI solutions, with a strong focus on healthcare use cases. The ideal candidate will combine deep technical expertise in machine learning, large language models (LLMs), and software engineering to build scalable, secure, and responsible AI systems.
Key Responsibilities
AI/ML Development & Architecture
Design and develop scalable AI/ML solutions using LLMs and other machine learning models.
Architect and implement Generative AI systems that are scalable, resilient, and aligned with ethical AI practices.
Work as a Subject Matter Expert (SME) for Generative AI, partnering with Product and Engineering teams.
Develop and maintain end-to-end AI pipelines, including:
Data preprocessing
Feature engineering
Model training and evaluation
Solution Design & Integration
Build extensible APIs and integrations to connect AI models with enterprise systems.
Develop low-code/no-code UI/UX solutions for rapid delivery cycles.
Design structured outputs (JSON, arrays, HTML) with nested nodes, ensuring seamless frontend/dashboard consumption.
Implement solutions integrating LLMs (e.g., GPT models) to extract insights and deliver actionable data.
Cloud & Distributed Systems
Architect and deploy solutions on cloud platforms such as AWS, Azure, or GCP.
Build and maintain distributed, scalable systems for AI workloads.
Optimize models and systems for performance, scalability, and efficiency.
AI Optimization & Prompt Engineering
Optimize generative AI models for improved accuracy and response quality.
Develop effective prompt engineering strategies based on understanding how AI interprets data.
Implement advanced use cases such as:
Retrieval-Augmented Generation (RAG)
Conversational systems
Summarization and translation
Responsible AI & Governance
Design solutions aligned with Responsible AI principles:
Fairness
Transparency
Security
Accountability
Identify, assess, and mitigate risks associated with generative AI systems.
Ensure compliance with privacy and data protection standards, especially in healthcare environments.
Collaboration & Documentation
Collaborate closely with cross-functional teams including Product, Data, and Engineering.
Translate business problems into actionable AI-driven solutions.
Create clear documentation:
Technical specifications
Architecture diagrams
User guides and presentations
Contribute to best practices and standards for AI/ML development across the organization.
Required Qualifications
Proven experience delivering at least one large-scale Generative AI solution.
Strong hands-on experience with:
Machine Learning & AI (especially NLP and Generative AI)
Frameworks: TensorFlow, PyTorch
Open-source platforms: Hugging Face
Experience working with:
LLMs (GPT family, DALL·E, or similar)
Data pipelines and ML lifecycle management
Strong software engineering skills for deploying AI into production environments.
Experience building APIs, system integrations, and scalable architectures.
Solid understanding of distributed systems design.
Preferred Qualifications
Experience in healthcare domain or regulated environments.
Hands-on experience with:
RAG architectures
AI-powered dashboards and visualization tools
Familiarity with CI/CD and DevOps practices.
Experience designing enterprise-grade, production-ready AI systems.
Technical Skills
Programming: Python (preferred), SQL
AI/ML: NLP, LLMs, Generative AI
Frameworks: TensorFlow, PyTorch
Tools: Hugging Face, APIs, data pipelines
Cloud: AWS, Azure, GCP
Data formats: JSON, HTML, structured outputs
Version control: Git
Soft Skills
Strong analytical and problem-solving abilities
Excellent communication skills (technical and non-technical audiences)
Ability to work in fast-paced, agile environments
Strategic thinking and solution-oriented mindset
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.