AI Engineer
Job in
Town of Poland, Jamestown, Chautauqua County, New York, 14701, USA
Listed on 2026-04-22
Listing for:
Algomine
Full Time
position Listed on 2026-04-22
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Job Description & How to Apply Below
Responsibilities
- Design and implementation of Gen AI solutions, building and deploying RAG and agent-based solutions using pre-built LLM models/services.
- Prototyping AI applications for business users.
- Development and implementation of production-level solutions.
- Collaboration with clients, process analysis, requirements gathering.
- Prototyping analytical solutions (testing approaches).
- Presentation of concepts and business cases, discussion of obtained results.
- Evaluation of new technologies, libraries, approaches, and proposing innovative solutions.
- Open source:
Python, Lang Chain, Lang Graph, MLflow, Streamlit - Sharepoint
- Higher education in computer science or related fields, e.g., data science, mathematics, econometrics, quantitative methods
- Over 2 years of experience as an AI engineer implementing commercial or scientific projects using LLM services
- Good knowledge of the Azure environment
- Very good knowledge of Python
- Good knowledge of RAG techniques, prompt engineering, using LLM, and their implementation in Python
- Basic knowledge of natural language processing (NLP)
- Knowledge of good programming practices (code review, Gitlab, CI/CD)
- Good communication skills, ability to conduct business conversations
- Good knowledge of English
- Experience in consulting and advisory services
- Experience in implementing data science/AI projects from inception to production launch
- Knowledge of Azure Databricks
- Knowledge of PyTorch, Tensor Flow
- Experience in model operationalization
- Certificates confirming skills
- Participation in diverse and technologically advanced GenAI projects
- Modern technology stack and openness to implementing new solutions
- Work in a dedicated Data Science team
- Private healthcare and sports card
- Flexible work hours and the possibility of 100% remote work
- Team-building events and unforgettable company events
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