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AI engineer

Salt Lake City, UT, US • Posted 10 hours ago • Updated 1 hour ago

Full Time

On-site

Fitment

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Job Details

Skills

pandas
numpy
tensorflow
nltk
spacy
NLP
PyTorch
LLMs
Scikitlearn

Summary

AI Engineer

Salt Lake City, UT - 4 days onsite role

FTE

4- 9 Years of experience

Key Responsibilities

1. AI & Generative AI Development

Design and build AI and Generative AI solutions using LLMs, NLP, and deep learning models
Develop applications using OpenAI APIs, Azure OpenAI, HuggingFace, LangChain, Amazon Bedrock, and similar platforms
Implement Retrieval Augmented Generation (RAG) pipelines using vector databases such as FAISS and Pinecone
Fine tune models using techniques like LoRA and QLoRA
Build AI powered features such as:
- Chatbots and virtual assistants
- Text summarization and extraction
- Question answering systems
- Speech to Text and Text to Speech solutions

2. Machine Learning & Deep Learning

Build and deploy ML models using:
- Supervised and unsupervised learning
- Regression and classification algorithms
- Neural networks and ensemble techniques
Develop deep learning models using TensorFlow, PyTorch, CNNs, RNNs, LSTMs, GANs, BERT and transformer architectures
Evaluate model performance using metrics such as Perplexity, BLEU, and ROUGE

3. Prompt Engineering

Design and optimize prompts for:
- Text summarization
- Information extraction
- Question & Answer systems
Apply advanced prompting techniques such as:
- Few shot prompting
- Chain of Thought (CoT)
- Knowledge base grounded prompts

4. Data & Backend Integration

Work with relational and NoSQL databases:
- MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, HBase
Build AI services and APIs using Python based frameworks
Integrate AI models with enterprise applications and workflows
Ensure data quality, security, and compliance in AI pipelines

5. Production & Cloud Readiness

Deploy AI solutions on cloud platforms (Azure / AWS preferred)
Implement scalable and secure AI architectures
Monitor, optimize, and retrain models as required
Use AI assisted development tools such as Microsoft Copilot to accelerate development responsibly

Required Technical Skills

Programming & Frameworks

Strong proficiency in Python
- NumPy, Pandas, Scikit learn, TensorFlow, PyTorch, spaCy, NLTK
Experience building production grade AI pipelines

AI / ML / GenAI

LLMs and Generative AI
NLP techniques
RAG architectures
Embeddings (Word2Vec, GloVe, ELMo)
Vector databases

Cloud & Tools

Azure OpenAI / AWS Bedrock
HuggingFace ecosystem
LangChain
Model fine tuning and evaluation tools

Nice to Have Skills

Experience with enterprise AI platforms
Knowledge of MLOps pipelines
Understanding of AI governance, ethics, and security
Prior experience in financial services or enterprise domains

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91009966
Position Id: 2026-29702
Posted 10 hours ago

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