Remote Jobs at Aigen

Autonomous robots for sustainable agriculture

Kirkland, Washington, United States

San Jose

Backend Software Engineer - San Jose

Aigen

Candidates should have a degree in Computer Science or a related field, along with experience in backend development and API design. Proficiency in programming languages such as Python, Java, or Go is required, as well as knowledge of cloud platforms like AWS, GCP, or Azure and experience with CI/CD tools. Familiarity with data processing and ETL processes is preferred, along with a solid understanding of security best practices in API development.

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconEntry Level & New Grad, Senior (5 to 8 years)
San Jose
Remote iconRemote

Account Executive - Remote

Aigen

Candidates should have a proven track record in sales, preferably in the technology or AI sector, with experience in the full sales cycle from prospecting to closing. Strong communication and negotiation skills are essential, along with the ability to engage with both technical and business stakeholders. A self-starter attitude and the ability to thrive in a fast-paced environment are required.

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconMid-level (3 to 4 years)
Hyderabad

Backend Software Engineer - India

Aigen

Candidates should have a degree in Computer Science or a related field, along with experience in backend development and API design. Proficiency in programming languages such as Python, Java, or Go is required, as well as familiarity with cloud platforms like AWS, GCP, or Azure. Knowledge of data processing, ETL processes, and CI/CD practices is also essential.

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconEntry Level & New Grad, Mid-level (3 to 4 years), Senior (5 to 8 years)
Hyderabad

ML Engineer - India

Aigen

Candidates should have a strong background in machine learning and AI, with experience in building and optimizing AI pipelines. Proficiency in programming languages such as Python and familiarity with MLOps practices are required. Experience with model training, deployment, and monitoring in cloud, on-prem, and edge environments is essential. Knowledge of LLM development and API integration is preferred.

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconMid-level (3 to 4 years), Senior (5 to 8 years)
San Jose

ML Engineer - San Jose

Aigen

Candidates should have a strong background in machine learning and software engineering, with experience in building and optimizing AI pipelines. Proficiency in model training, deployment, and backend development is required, along with familiarity with MLOps practices and cloud environments. Knowledge of LLM-based applications and API integration is preferred, as well as strong problem-solving skills and the ability to work collaboratively in a team setting.

  • Compensation icon$60,000 - $100,000/year
  • Employment type iconFull Time
  • Experience level iconMid-level (3 to 4 years), Senior (5 to 8 years)
San Jose

Principal Product Designer

Aigen

Candidates should have extensive experience in product design, with a strong portfolio showcasing user-centered design principles. A background in designing complex software products, particularly in AI or technology sectors, is preferred. Proficiency in design tools such as Sketch, Figma, or Adobe Creative Suite is required, along with excellent communication and collaboration skills.

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconMid-level (3 to 4 years), Senior (5 to 8 years)
Hyderabad

UI/UX Product Designer - India

Aigen

Candidates should have a strong design foundation with attention to detail and a passion for creating intuitive user experiences. A portfolio showcasing relevant design work is required, along with experience in UI design and familiarity with design tools such as Figma.

  • Compensation iconSalary not specified
  • Employment type iconFull Time
  • Experience level iconEntry Level & New Grad, Mid-level (3 to 4 years)