Gotham Technology Group · 17 hours ago

Artificial Intelligence Engineer

California, United States

Full-time

Remote

Mid Level

$130K/yr - $145K/yr

4+ years exp

Maximize your interview chances

Information ServicesInformation Technology

Diversity & Inclusion

Hiring Manager

Autumn Ortenzi

Insider Connection @Gotham Technology Group

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

Developing, fine-tuning, and deploying advanced AI models, particularly Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.

Customizing models for specific domains.

Hosting and optimizing models in production environments.

Driving innovation across various business areas.

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 engineeringFine-tuning LLMsDeveloping RAG modelsSnowflake SnowparkTensorFlowPyTorchLangChainAzure AI StudioSnowflake CortexOpenAIDeep learningNatural language processingReinforcement learningHigh-quality solutions

Required

Minimum of 4 years of professional experience in AI engineering

Extensive experience in fine-tuning and customizing LLMs, particularly in the context of generative AI and text-based applications.

Proven track record of developing and implementing RAG models, with a focus on optimizing vector databases and embedding strategies.

Hands-on experience with Snowflake Snowpark, including building and deploying AI models within Snowflake’s data platform.

Proficiency in using AI frameworks such as TensorFlow, PyTorch, LangChain, and tools like Azure AI Studio, Snowflake Cortex, and OpenAI.

Strong analytical and problem-solving skills with a deep understanding of AI concepts, including deep learning, natural language processing, and reinforcement learning.

Excellent communication skills, capable of articulating complex AI concepts to both technical and non-technical stakeholders.

Ability to work independently and collaboratively in a fast-paced environment, managing multiple projects simultaneously.

Detail-oriented and committed to delivering high-quality, scalable AI solutions.