Fullstack AI Engineer, Gen AI Agents and Healthcare

Posted 2024-11-09

💎 Seniority level: Senior, 7-8 years

📍 Location: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming

🔍 Industry: Cloud-based AI solutions

🏢 Company: Stealth Ventures at Redesign Health

🗣️ Languages: English

⏳ Experience: 7-8 years

🪄 Skills: Backend DevelopmentPythonSoftware DevelopmentArtificial IntelligenceFrontend DevelopmentFull Stack DevelopmentHTMLCSSJavaJavascriptMachine LearningReact.jsReactCommunication SkillsAnalytical SkillsCollaborationJavaScript

Requirements:

7-8 years of overall experience, including experience in AI engineering, or a master’s degree in AI, computer science, or a related field.
Proven experience in building and deploying full-stack applications, including front-end and back-end development.
Hands-on experience in developing, training, fine-tuning, and deploying LLMs and other AI models.
Ability to transition seamlessly between data engineering, model development, and application integration.
Strong customer-facing skills with a track record of delivering tailored solutions for clients.
Background in working within early-stage or 0-1 environments, bringing products from idea to launch.
Excellent communication skills, with the ability to translate complex technical concepts for non-technical stakeholders.

Responsibilities:

Design and develop full-stack solutions to support AI-driven applications, encompassing both front-end and back-end engineering.
Build and implement LLMs and other AI models, focusing on creating custom AI agents from concept through to deployment.
Act as a hands-on utility player, developing core AI infrastructure while supporting other engineering tasks as needed.
Collaborate with customers to gather feedback and tailor solutions, creating a tight feedback loop between product development and client needs.
Work closely with cross-functional teams to define and deliver technical solutions that align with both customer and business objectives.
Stay at the forefront of AI and engineering trends to continually advance our technical stack and enhance our customer offerings.

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