AI Engineer Job Salt Lake City area,Utah USA,IT/Tech

Job Description AI Engineer
Location:
Salt Lake City, UT 4 days onsite role
Job Type: Fulltime
Salary: $90k-120k/year(Bit flexible)

Role Overview
An AI Engineer is responsible for designing, building, deploying, and optimizing AI, Machine Learning, and Generative AI solutions that solve real business problems. This role bridges data, models, and applications, ensuring AI solutions are scalable, reliable, and production ready.
AI Engineers work closely with product owners, data engineers, software engineers, and client stakeholders to translate requirements into intelligent systems. 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, Hugging Face, Lang Chain, 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 Tensor Flow, 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 No

SQL 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
- Num Py, Pandas, Scikit learn, Tensor Flow, PyTorch, spaCy, NLTK
Experience building production grade AI pipelines

AI / ML / GenAI

LLMs and Generative AI
NLP techniques
RAG architectures
Embeddings (Word2

Vec, Glo Ve, ELMo)
Vector databases

Cloud & Tools

Azure OpenAI / AWS Bedrock
Hugging Face ecosystem
Lang Chain
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

Soft Skills & Expectations

Strong problem solving and analytical thinking
Ability to translate business problems into AI solutions
Excellent communication with technical and non technical stakeholders
Fast learner with a mindset to adapt to evolving AI technologies

Typical Experience Range

3 6 years for mid level AI Engineer
7+ years for senior / lead AI Engineer roles
(with hands on AI/ML and GenAI experience)

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.