AI Engineer

Salt Lake, UT - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: AI Engineer
Location: Salt Lake City UT

Setting: Onsite (4 days onsite role)

Type: Full Time (Permanent)

Years of Experience: 4-9 years (w/d Strong financial and banking domain experience)

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 deeplearning models
Develop applications using OpenAI APIs Azure OpenAI HuggingFace LangChain Amazon Bedrock and similar platforms
Implement Retrieval Augmented Generation (RAG) pipelines using vectordatabases such as FAISS and Pinecone
Finetune models using techniques like LoRA and QLoRA
Build AIpowered features such as:
- Chatbots and virtual assistants
- Text summarization and extraction
- Questionanswering systems
- SpeechtoText and TexttoSpeech 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:
- Fewshot prompting
- ChainofThought (CoT)
- Knowledgebase 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 finetuning 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 problemsolving and analytical thinking
Ability to translate business problems into AI solutions
Excellent communication with technical and nontechnical stakeholders
Fast learner with a mindset to adapt to evolving AI technologies

Job Title: AI Engineer Location: Salt Lake City UT Setting: Onsite (4 days onsite role) Type: Full Time (Permanent) Years of Experience: 4-9 years (w/d Strong financial and banking domain experience) Role Overview An AI Engineer is responsible for designing building deploying and optimizing AI ...