AI Engineer
Location: Salt Lake City, UT or New York City, NY – 4 days Onsite Role
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
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)