AI Engineer

AI Engineer

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.

0 - 2 years of 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.