Be an early applicantLess than 25 applicants

Company

Redesign Health · 1 day ago

Fullstack AI Engineer, Gen AI Agents and Healthcare

United States

Full-time

Remote

Mid Level

Maximize your interview chances

Health CareMedical

H1B Sponsor Likely

Insider Connection @Redesign Health

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Build GenOps pipelines and robust AI frameworks.

Construct datasets, train & fine-tune and evaluate GenAI models, and collaborate with other team members through the entire lifecycle of different GenAI solutions from scratch to production.

Design, implement, and maintain agentic workflows for Conversational AI and task automation of both customer-facing applications, R&D, and internal tooling.

Design, implement, and maintain Document AI pipelines that use generative AI for document processing, including OCR, form parsing, text extraction and summarization, and classification tasks.

Deploy GenAI models on different cloud providers as well as on-prem, and set up endpoints for foundational models.

Work closely with other software engineers, machine learning engineers, product and business stakeholders.

Produce technical documentation and engage in continuous learning to master Generative AI technologies, best practices, and share your knowledge and achievements with your colleagues.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AI EngineeringMachine LearningGenerative AINatural Language ProcessingLLMsData ScienceFull-stack DevelopmentDocument AICloud ProvidersPrompt EngineeringRetrieval Augmented GenerationAttention MechanismsTransformer ArchitectureVector DatabasesSemantic SearchLangChain FrameworkConversational AIResponsible AIAI EthicsGenOps Process

Required

Experience in software and AI engineering, with a master’s degree in AI or ML, Computer Science, Data Science, or equivalent relevant professional experience in the field.

Fundamental understanding of software engineering (experience building full-stack web applications is a plus) and the web (REST APIs, client-server communication, databases)

Proficiency with Generative AI and Natural Language Processing

Experience with LLMs and Text Generation

Experience with foundational models and LLM Prompt Engineering & Fine-Tuning for custom tasks.

Experience with Retrieval Augmented Generation (RAG)

Experience in constructing custom, relevant quality datasets for performing LLM fine-tuning and RAG.

Experience and/or a fundamental understanding of Natural Language Processing, tokenization / text encoding & text generation, and text-based models

A fundamental understanding of attention mechanisms and transformer architecture.

Experience designing and implementing software features, applications, and solutions using Generative AI and LLMs.

Experience with vector databases, semantic search, indexing techniques, and enhancing AI agent’s long-term memory

Experience developing agentic workflows and general GenAI solutions with the LangChain framework.

Experience with working with GenAI solutions in a production/production-like environment, including applying techniques for data collection, prompt execution, maintenance, and orchestration.

Knowledge of Conversational AI system architecture using Finite State Machine dialog models and multi-agent systems.

Experience or applied knowledge of Responsible AI & AI Ethics, conducting AI Impact assessments, analyzing use cases from both a product and technical standpoint to determine adequate model selection and success metrics, bias identification and mitigation techniques.

Experience or interest in learning about AI for Accessibility

Experience or a fundamental understanding of the GenOps process

Preferred

Experience with Google Cloud is a plus, while some projects will require working with AWS, Azure OpenAI, and other cloud providers.

Company

Redesign Health

Glassdoor

2.5

Redesign Health develops technologies, tools, and insights to solve healthcare solutions.

Founded in 2018

New York, New York, USA

51-200 employees

https://www.redesignhealth.com

H1B Sponsorship

Redesign Health has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2021 (1)