(N) AI Engineer (Python, LLM libraries - AI third-party services & AWS )

Believe Solutions; United States; Remote; USD 100,000 - 140,000; Full time

Job summary

A leading company in payment technology is seeking an AI Engineer to spearhead innovative projects. The role offers the chance to work alongside diverse teams, leveraging your skills in Python and cloud infrastructure. This position is remote and provides a unique opportunity to significantly impact business growth.

Qualifications

• 5+ years of experience working with Python.
• 3+ years of experience with Cloud infrastructure (AWS, Azure, or GCP).
• Experience with Docker and LLM applications.

Responsibilities

• Collaborate with teams to develop and improve scalable AI systems.
• Research and integrate new AI technologies.
• Build and deploy AI solutions using Python and AWS.

Skills

Python

Cloud infrastructure

DevOps best practices

LLM libraries

Docker

Advanced English

Education

Bachelor's Degree in Computer Science

Job description

(N) AI Engineer (Python, LLM libraries - AI third-party services & AWS )

Remote

Full Time

(Python, LLM libraries - AI third-party services & AWS )

About the project

As an AI Engineer, you will have a direct and impactful role, potentially shaping the trajectory of the company. You'll experience firsthand the substantial influence your contributions will have on our company's growth and success. This dynamic environment encourages innovation and creativity, empowering you to shape the future of payment technology.

How your day-to-day work will look like

• Collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to develop and improve scalable AI systems.
• Research, evaluate, and integrate new AI technologies, frameworks, and tools to improve payment systems' efficiency, security, and performance.
• Build and deploy AI solutions using a stack that features Python, LLM libraries, and AI third-party services and AWS services.

This would make you the ideal candidate

• Bachelor's Degree in Computer Science, Engineering, or a related field.
• 5+ Years of experience working with Python.
• 3+ Years of experience working with Cloud infrastructure (AWS, Azure, or GCP). Experience with AWS Bedrock, Azure Machine Learning / Azure Open AI / Azure AI Foundry, or Google Vertex is highly valued.
• Experience with Docker.
• Familiarity with Architecture for LLM Applications and Prompt Engineering techniques/patterns.
• Evaluation and observability of generative AI applications.
• Experience with DevOps best practices, including version control (Git), infrastructure as code (IaC), and CI/CD.
• Experience applying scalability patterns (caching, parallelism, routing, asynchrony, decoupling, etc).
• Advanced English Level is required for this role as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons.