Typescript Developer

Noida, Indien

Experience: 3-5 years
Job Type: Full-time (Contractual / Freelancing)
Location: Remote
Required Skills: Typescript

Job Summary:

Join our team as a seasoned Typescript Developer and play a pivotal role in advancing innovative AI training solutions. You will collaborate with talented professionals to develop robust, scalable applications using Typescript, driving advancements at the intersection of software engineering and artificial intelligence. If you thrive in dynamic, fully remote environments and value clear written and verbal communication, this is the ideal opportunity for you.

Key Responsibilities:

  • Design, implement, and maintain high-quality Typescript codebases tailored for AI model training.
  • Collaborate closely with cross-functional teams to define, develop, and deliver scalable software solutions.
  • Write clean, maintainable, and well-documented code adhering to best practices and coding standards.
  • Optimize performance and ensure the reliability of key software modules integral to AI workflows.
  • Participate in code reviews, offering constructive feedback and fostering a culture of continuous improvement.
  • Effectively communicate technical concepts and progress through detailed documentation and clear verbal updates.
  • Stay abreast of emerging trends in Typescript, AI technologies, and software engineering methodologies

Required Skills and Qualifications:

  • Bachelor’s degree in Engineering, Computer Science, or a related field.
  • At least 5 years of professional experience in Typescript development.
  • Demonstrated expertise in architecting and implementing robust Typescript applications.
  • Excellent written and verbal English communication skills, with a passion for clarity and precision.
  • Proven track record working effectively in remote, distributed environments.
  • Strong problem-solving abilities and attention to detail in fast-paced settings.

Preferred Qualifications:

  • Experience building or supporting AI/machine learning pipelines.
  • Background in software solutions for data-intensive or research-driven domains.
  • Active participation in open-source projects or developer communities.