Junior AI Engineer

Siri InfoSolutions Inc; Minneapolis (MN); On-site; USD 85,000 - 110,000; Full time

Job summary

Synchrony Systems Inc. in Minneapolis, MN is seeking an AI Engineer with 1-2 years of experience to develop AI agents, focusing on Python, NLP, and prompt engineering. You will work onsite in a fast-paced team and contribute to end-to-end model development, testing, and integration.

The role emphasizes agile collaboration, data handling with embeddings and vector databases, and building RESTful APIs and services to deploy AI solutions across domains.

Qualifications

• 1–2 years AI/ML engineering experience.
• Strong Python proficiency.
• Experience with NLP or chatbots.
• Knowledge of prompt engineering.
• Familiarity with vector databases and embeddings.
• Experience with RESTful APIs.

Responsibilities

• Develop AI agents with prompt engineering and scripting.
• Work with embeddings, vectors, and unstructured data.
• Collaborate across teams in agile sprints and communicate needs.

Skills

Python

NLP

Prompt Engineering

API Development

Git

Debugging

Data Handling

RESTful APIs

Microservices

JSON/XML

Data Structures

Algorithms

Agile & Collaboration

Domain Adaptability

Testing

Ethics Awareness

Tools

Vector Databases

Embedding Models

RESTful APIs

Microservices Architecture

Job description

AI Engineer- 1-2 Years exp)

Minneapolis, MN- 100% onsite

Full Time

Job Description

Programming & Software Engineering: Expertise in Python (and optionally Java, JavaScript, or C#), unit testing, and version control (Git).

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.

Warm Regards,

Navneet Jha
Team Lead

[e-mail]

Direct No: 848-999-0314

Synchrony Systems Inc.