AI Engineer
CYNET SYSTEMS INC.
New York, NY, United States
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$114,400.0 - $124,800.0
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Agile Methodology
Artificial Intelligence
Microsoft Azure
Cloud Computing
Software Design Patterns
Fault Tolerance
Python (Programming Language)
Machine Learning
Object-Oriented Software Development
Software Engineering
Enterprise Software Applications
+4 more
Large Language Models
Fastapi
Information Technology
Virtual Agents
Job description
- Work with different stakeholders and understand the business requirements for proper python code development.
- Contribute to development and maintenance of the python library.
- Contribute to the support of the library.
- Participate in prompt engineering.
- Maintain the prompts and keep them up to date with the new LLM versions.
- Conduct regular testing and performance analysis.
- Participate in prompt benchmarking experiments.
Requirements
- Bachelor s in computer science or related field.
- 5+ years of experience.
- Hands-on experience in building python applications.
- Excellent Python development skills.
- Excellent architecture design skill for enterprise applications.
- Knowledge of object-oriented programming and design patterns.
- Knowledge of system resiliency, observability, scalability and performance.
- Experience of Agile development.
- Strong analytical skills and passion for problem-solving.
- Good communication skills., * Experience with Open AI and different LLM models, conduct testing and performance evaluation.
- Experience with Java development.
- Experience with machine learning, vector databases.
- Cloud-based application development preferably using Microsoft Azure Cloud.
- Prior experience in FinTech application development.
- Exposure to working in a global delivery team.
Skills:
- Real-time GenAI Solutions.
- AI Agent Development.
- Agentic Libraries (LangChain, etc.).
- Architecture /Design Patterns (RAG).
- Frameworks (CrewAI, Semantic Kernel).
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