AI Engineer

Synchrony Systems, Inc.; Minneapolis (MN); On-site; USD 80,000 - 95,000; Full time

Job summary

Synchrony Systems, Inc. in Minneapolis, MN is seeking a Python-focused candidate with 1.5 to 4 years of experience to join our AI/ML team. The role emphasizes building and evaluating intelligent agents, prompt engineering, and working with NLP or chatbots in a collaborative, sprint-driven environment.

You will work with embedding models, vector databases, and RESTful APIs, contribute to data handling, and ensure robust testing and bias awareness in model outputs.

Qualifications

• Solid grasp of machine learning and AI concepts, NLP or chatbots.
• Prompt engineering: crafting prompts, few-shot examples and output formatting.
• Familiarity with embedding models, vector databases, and unstructured data.
• Building and consuming RESTful APIs, microservices, and handling JSON/XML data.
• Knowledge of lists, dictionaries, trees/graphs and their use in agent design.
• Strong debugging and troubleshooting to differentiate model vs. code issues.
• Agile and collaborative mindset; sprint-based teamwork.
• Domain adaptability for new industries and tailored agents.
• Attention to data handling, edge cases, and thorough testing.
• Ethical awareness of bias and confidentiality considerations.

Skills

AI/ML concepts

Prompt engineering

RAG & data handling

API & integration

Data structures & algorithms

Debugging & problem-solving

Agile mindset

Domain adaptability

Attention to detail

Ethical awareness

Job description

Duration: Full-time Hire

Experience Needed: 1 to 4 years

Salary Range: $80,000- $95,000 a year

• AI/ML Knowledge: Solid grasp of machine learning and AI concepts, model behavior, and experience with NLP or chatbots.
• Prompt Engineering: Experience crafting and iterating prompts, including few-shot examples and output formatting techniques.
• RAG and Data Handling: Familiarity with embedding models, vector databases, and unstructured data processing.
• API and Integration Skills: Building and consuming RESTful APIs, microservices, and handling JSON/XML data formats.
• Data Structures & Algorithms: Knowledge of lists, dictionaries, trees/graphs, and their application in efficient agent design.
• Debugging & Problem-Solving: Strong troubleshooting abilities to distinguish between model and code issues.
• Agile and Collaborative Mindset: Comfortable working in sprints, collaborating across teams, and communicating technical needs.
• Domain Adaptability: Ability to quickly learn new industry concepts for tailored agent solutions.
• Attention to Detail & Quality: Consideration of edge cases, proper data handling, and thorough testing.
• Ethical Awareness: Recognize bias, confidentiality issues, and flag questionable requests.

The JD calls for strong Python candidates with the additional skills mentioned. The experience range between the experience of 1.5 up to 4 years.

The following experience is preferred: