_{26th September, 2025}

Machine Learning Engineer #1037421
Job Description:

• Employees in this role are responsible for designing, developing, and deploying cutting-edge Generative AI solutions, with a particular emphasis on Retrieval-Augmented Generation (RAG) systems.
• This involves leveraging various AI techniques, including vector databases and robust API development frameworks like FastAPI, and ensuring efficient deployment through containerization and MLOps practices, to build intelligent applications that enhance user experience and automate complex processes.

 
Skills Required:

• GCP, Big Data, Artificial Intelligence & Expert Systems, API
• GCP - Mid Level
• Big Data - Entry level
• Artificial Intelligence & Expert Systems - Entry Level
• API : Mid level

 
Skills Preferred:

• Google Cloud Platform

 
Experience Required:

• 3+ years of experience in software engineering with a focus on Generative AI, Machine Learning, or related AI fields.

 
Experience Preferred:

• Experience deploying AI/ML models into production environments at scale.
• Previous experience in a large enterprise or fast-paced technology environment.

 
Experience Preferred:

• Strong understanding of Generative AI principles and architectures, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
• Proven experience in building and deploying RAG systems, including the use of **Vector Databases**.
• Proficiency in Python programming.
• Solid experience with SQL for data manipulation and querying.
• Hands-on experience with Google Cloud Platform (GCP) services relevant to AI/ML.
• Basic understanding and practical experience with Machine Learning model fine-tuning.
• Familiarity with data engineering concepts and practices.
• Expertise in prompt engineering techniques for interacting with LLMs.
• Experience with the OpenAI SDK.
• Experience developing robust APIs, preferably with **FastAPI**.
• Proficiency with **version control systems (e.g., Git)**.
• Experience with **containerization technologies (e.g., Docker)**.

 
Education Required:

• Bachelor's Degree

 
Education Preferred:

• Certification Program

 
Additional Information:

• Design, develop, and implement Generative AI models and applications, specifically focusing on building and optimizing RAG systems, including the integration and management of vector databases, using various technology stacks, with a preference for the OpenAI SDK.
• Apply fundamental Machine Learning concepts, including model fine-tuning, to improve the performance and accuracy of AI solutions, and deploy them via efficient APIs, such as those built with FastAPI, utilizing containerization for consistent environments.
• Perform data engineering tasks to prepare, process, and manage data pipelines essential for training, evaluating, and deploying Generative AI models, including data ingestion for vector databases, ensuring data quality and accessibility.
• Utilize advanced prompt engineering techniques to optimize interactions with large language models and achieve desired outputs, and expose these capabilities through well-designed APIs.
• Collaborate with cross-functional teams to integrate AI solutions into existing products and services, ensuring scalability, reliability, and maintainability on cloud platforms, particularly Google Cloud Platform (GCP), adhering to MLOps principles and continuous integration/continuous deployment (CI/CD) practices.

 
Additional Info:
 
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra.  We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
 

• Medical and Dental (FastTek pays majority of the medical program)
• Vision
• Personal Time Off (PTO) Program
• Long Term Disability (100% paid)
• Life Insurance (100% paid)
• 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

 
Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
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Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.
 

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