GenAI Engineer

SRS Distribution, a wholly owned subsidiary of The Home Depot, currently operates under a family of distinct local brands encompassing more than 760 locations across 47 states. For more information, visit www.srsdistribution.com. 

Location :

• This is an onsite position. Our corporate office is located 7440 S. Hwy 121 McKinney, TX 75070 

What you’ll Do: 

Are you a forward-thinking Software Engineer with a passion for cutting-edge technologies, a knack for innovation, and a desire to revolutionize the distribution industry? If so, we have an exciting opportunity for you to join our dynamic team at SRS Distribution, the fastest-growing distributor of Landscape, Pool, and Building products.

As a Full Stack Engineer, you work on conceptualizing, designing, developing, and implementing prototypes and use cases that harness the power of Gen AI and LLM technologies to optimize capabilities for our team and customers. The team works closely with business stakeholders and the Tech Innovation team to deploy cutting-edge technologies and solutions. Join us in this exciting endeavor to shape the future of Gen AI while contributing to a culture of innovation and collaboration at SRS Distribution.

Requirements We Look For:  

• Prototyping and Use Case Development

• Design and Develop prototypes and proof-of-concepts to demonstrate the feasibility and value of Generative AI solutions. Facilitate and conduct testing/validation to ensure model output accuracy and reliability.

• Collaborate with cross-functional teams to identify opportunities and develop use cases for leveraging Gen AI and the LLM ecosystem to address specific business challenges, streamline operations, and improve customer experiences.

• Programming Expertise and Technology Integration

• Design, Develop, and Implement scalable cloud-native applications leveraging the latest full-stack technologies and frameworks.

• Design, implement, and integrate applications with RESTful API services.

• Integrate Generative AI/LLM capabilities and services, Open APIs, and proprietary machine learning models to meet use cases and enhance the capabilities of existing or new applications.

• Work with large, complex datasets to extract meaningful insights and develop data-driven applications.

• Collaboration and Knowledge Sharing:

• Collaborate with cross-functional teams, including data scientists, prompt engineers, data engineers, cloud engineers, and product managers, to ensure successful implementation.

• Share expertise and knowledge within the team and potentially mentor engineers across the organization.

• Innovation / Research and Development: Stay at the forefront of the latest advancements in the field and proactively identify opportunities to apply them to our business processes.

• Communication: Effectively communicate technical concepts to diverse audiences, fostering collaboration adoption, and ensuring a shared understanding of project goals and outcomes.

• Other responsibilities and projects as assigned.

Technical Skills

• Demonstrated track record of creating innovative solutions utilizing cutting-edge technologies.

• Deep Development experience in at least one public cloud provider.

• Proficiency in building and running platforms and cloud-native applications at scale.

• Deep program experience in various programming languages with Python, JavaScript frameworks, Java, C++, .Net, and SQL.

• Experience with service-oriented architectures

• Experience with CI/CD pipelines and modern development tools like Git, Jenkins, Docker, and Kubernetes

• Strong experience in Front-End Frameworks (React/Angula0072 and other frontend frameworks), Server-Side Languages

• Experience database design and development using Postgres Redis or other NoSQL data stores.

• Practical experience leveraging open-source frameworks to build applications.

• Familiarity with developing applications using large language models, vector databases, Prompt Engineer, and a sound understanding of various versions of GPT (and other models) and Open AI API would be a plus.

• Working experience in developing and applying AI/ML technologies (ex., LangChain, OpenAI) to business solutions would be a plus.

• Proven ability for problem-solving and debugging.

• Demonstrate a deep knowledge & ability to operationalize scalable web/web services applications with industry standards and best practices.

Qualities that Stir our Souls (and make you stand out): 

• A bachelor’s degree in computer science, software engineering, or a related field such as MIS is preferred.
• 6+ years of experience as a Full Stack Engineer, including proficiency in Python.
• 3+ years of experience leading projects and mentoring junior developers.
• 3+ years working experience with at least cloud platform.

• Passion for innovation and curiosity to explore new ideas. Self-starter mindset

• Ability to derive and drive technical solutions from non-technical users

• Proficient in mastering technologies to tackle pivotal business challenges independently and proactively. Demonstrate aptitude for thriving in ambiguous situations and taking decisive initiative

• Excellent communication skills, both written and verbal, for effective collaboration and knowledge-sharing

• Demonstrated ability to collaborate effectively with business partners and technical teams

• Strong problem-solving skills, ability to analyze complex problems and analytical thinking

• Inquisitive mindset, unafraid to ask probing questions to understand business processes

SRS Perks & Benefits:  

• Weekly Pay 
• Day One 401(k) Plan participation with Generous Company Match 
• Generous Paid Time Off, Holidays, Birthday, and Floating Holidays…. and more
• Paid Parental Leave 
• Medical, Dental and Vision Benefits 
• Employee Referral Bonus Program 

Our Culture that Inspires You to Click and ‘Apply’: SRS Culture 

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Job Location: SRS Distribution - McKinney

7440 State Highway 121 McKinney, TX 75070-3104

Equal Opportunity Employer.

Veteran Friendly Employer. SRS Distribution believes in hiring military veterans at any level for any position. We know your service trained you in many of the areas we value, such as; leadership, teamwork, performance, integrity, and safety. If your experience matches our requirements, we want you to apply today.