Remote Full Stack Software Engineer II - AI/ML Focus
About the Role
We are looking for a Remote Full Stack Software Engineer II to join our innovative team at Technergetics. In this role, you will leverage your expertise in both front-end and back-end technologies to develop cutting-edge applications, particularly in the field of artificial intelligence and machine learning.
What You'll Do
- Design and implement scalable applications using modern frameworks and technologies.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Participate in code reviews and maintain high coding standards.
- Utilize AI tools to enhance application performance and user experience.
- Engage in troubleshooting and debugging to optimize application performance.
Requirements
- 2-5 years of experience as a Full Stack Software Engineer.
- Proficiency in JavaScript, React, Node.js, and other relevant technologies.
- Experience with database management systems such as MongoDB or PostgreSQL.
- Familiarity with AI/ML concepts and tools.
- Strong problem-solving skills and ability to work independently.
Nice to Have
- Experience with cloud platforms like AWS or Azure.
- Knowledge of DevOps practices and CI/CD pipelines.
- Familiarity with Agile development methodologies.
What We Offer
- Competitive salary ranging from $90,000 to $130,000 per year.
- Flexible remote work environment.
- Opportunities for professional growth and development.
- Access to cutting-edge technology and tools.
- Health and wellness benefits.
This role offers a unique opportunity to work on AI-driven projects in a fully remote environment, with competitive pay and professional growth.
Who Will Succeed Here
Proficient in JavaScript frameworks like React and Node.js, with a solid understanding of asynchronous programming to build responsive applications that utilize AI and ML algorithms effectively.
Self-motivated and disciplined to thrive in a fully remote work environment, demonstrating strong time management skills and the ability to independently prioritize tasks within Agile development cycles.
A problem-solver with a growth mindset, eager to explore and implement machine learning concepts using technologies like TensorFlow or PyTorch, and capable of integrating them with databases such as MongoDB and PostgreSQL.
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