| Full Stack Engineer, Hybrid - Sewickley, PA (Hybrid), Onsite interview at Sewickley, Pennsylvania, USA |
| Email: [email protected] |
| Position: Full Stack Engineer Location: Hybrid - Sewickley, Pennsylvania (3 days onsite and 2 days remote) Must be local to PA and willing to work onsite 3 days per week 6+ Month Contract Onsite interviews Rate: $50-55/hr c2c Visa: No H1B/CPT The Opportunity: As a member of the AI Engineering Team, you will play a key role in building and optimizing our platform to deliver AI-driven tools that align with clients mission of championing personal and spiritual growth. You will contribute to feature development across multiple applications, enhancing security, optimizing our full-stack architecture, and implementing solutions that enable clients strategic vision for AI-enabled growth and human flourishing. You will work closely with teams to ensure our platform is robust and scalable, supporting strategic initiatives such as next-generation AI tools, trusted data infrastructures, and enhanced developer experiences. Additionally, youll support integrating advanced AI models and ensuring our applications serve a broad range of users, from faith organizations to individuals seeking personal growth and rooted in trust. This is a hybrid position working out of the Pittsburg, Pennsylvania area. Top 3-4 Skills: Pytorch Tensorflow Python React Job Description: Designing end-to-end solutions that include database, API design, and testing, as well as implementing UI/UX using NextJS, React, and other Javascript Libraries.. Working on scalable and secure cloud architectures that support clients AI and data initiatives, including trusted data handling and AI-driven content solutions. Enhancing our web applications performance and security to ensure stability and resilencyno matter the throughput. Collaborating closely with the product and AI engineer team to deliver solutions that align with clients strategic goals in AI development and platform expansion. Contributing to the continuous improvement of our development pipeline, ensuring efficient deployments and high-quality releases. Supporting the integration of advanced data and AI services to help organizations and individuals grow in their faith and personal development. Optimizing our design and performance while using modern tech stacks that align with Gloos strategic focus on innovation. Mentoring teammates and contributing to knowledge-sharing and team growth as we scale our platform and AI tools. Skills & Qualifications: A passion for serving fellow team members and customers through thoughtful, effective, and robust software solutions. At least 1-2 years of experience working on web applications within collaborative teams. Autonomous and self-driven leadership in a collaborative environment that requires proactive solutions. A growth mindset to learn and deliver functional features in Artificial Intelligence and Machine Learning. Expertise in React, Next.js or equivalent front-end framework. Expertise in Python as a backend service to power APIs and AI workflows. BS in Computer Science or Engineering, or equivalent demonstrated experience. Experience with building and maintaining automated test suites for web applications. Familiarity with Docker, Kubernetes, containerized deployment environments, and GitHub Actions. Experience delivering work via a continuous improvement and delivery methodology. Familiarity with Kanban software development methodologies. Exposure and understanding implementing AI technologies. Excellent written and verbal communication skills for effectively translating technical solutions. Technical Stack: Pytorch Tensorflow Python React AI Machine Learning UI/UX NextJS Thanks & Regards Andy N orris Sr. Recruitment Manager E-Strategy International Inc. Email: [email protected] Website: https://www.myestrategy.com/ Linked In: https://www.linkedin.com/in/andy-n-672064242/ -- Keywords: artificial intelligence user interface user experience javascript information technology Pennsylvania Full Stack Engineer, Hybrid - Sewickley, PA (Hybrid), Onsite interview [email protected] |
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| Mon Nov 04 19:09:00 UTC 2024 |