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

Believe Solutions; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

An innovative firm is seeking an AI Engineer to play a pivotal role in shaping the future of payment technology. This position offers the chance to collaborate with cross-functional teams, driving the development of scalable AI systems. You will research and integrate cutting-edge AI technologies, enhancing the efficiency and security of payment systems. With a focus on creativity and innovation, this role empowers you to make significant contributions to the company's growth. If you have a strong background in Python and cloud infrastructure, and you're passionate about AI, this opportunity is perfect for you.

Qualifications

• 5+ years of Python experience required.
• 3+ years of experience with AWS or other cloud services.
• Familiarity with Docker and DevOps practices is essential.

Responsibilities

• Collaborate with teams to develop scalable AI systems.
• Integrate new AI technologies to enhance payment systems.
• Build and deploy AI solutions using Python and AWS.

Skills

Python

Cloud infrastructure (AWS, Azure, GCP)

Docker

DevOps best practices

Prompt Engineering

Generative AI applications evaluation

Effective communication in English

Education

Bachelor's Degree in Computer Science or Engineering

Tools

AWS

Azure

GCP

Git

Job description

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

Location: Remote

Employment Type: Full Time

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:

1. Collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to develop and improve scalable AI systems.
2. Research, evaluate, and integrate new AI technologies, frameworks, and tools to improve payment systems' efficiency, security, and performance.
3. 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:

1. Bachelor's Degree in Computer Science, Engineering, or a related field.
2. 5+ Years of experience working with Python.
3. 3+ Years of experience working with Cloud infrastructure (AWS, Azure, or GCP). Particular experience with AWS Bedrock, Azure Machine Learning / Azure Open AI / Azure AI Foundry, or Google Vertex is highly valued.
4. Experience with Docker.
5. Familiarity with Architecture for LLM Applications and Prompt Engineering techniques/patterns.
6. Evaluation and observability of generative AI applications.
7. Experience with DevOps best practices, including version control (Git), infrastructure as code (IaC), and continuous integration/continuous deployment (CI/CD).
8. Experience applying scalability patterns (caching, parallelism, routing, asynchrony, decoupling, etc).
9. 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.