Generative AI Software Developer​/Engineer

• The team’s systems and development environments are built on Unix/Linux, making this a non-negotiable skill.
• Full Stack Development Expertise
• Candidates must be comfortable working across both:
• Frontend/UI layer
• Backend systems
• Expectation is not specialization in one area, but the ability to navigate end-to-end development.
• Programming & Systems Thinking
• Strong hands-on development experience is required, particularly in Python-based environments.
• Candidates should demonstrate experience working on complex systems, not just isolated features.

• Targeting mid-level professionals (5–7 years of experience).
• Candidates should have enough experience to:
• Work independently
• Contribute meaningfully to architecture and design discussions
• Execute with minimal hand-holding

• Must have the ability to work in US without any sponsorship

One of the most important takeaways from the discussion:

The hiring manager shows a strong preference for candidates with non-traditional or non-polished professional backgrounds
.

• Candidates who may not come from large, structured organizations but have:
• Built projects independently
• Learned through hands-on experimentation
• Worked in scrappy or resource-constrained environments
• Individuals who are:
• Resourceful and proactive
• Able to figure things out without rigid processes or dependencies

• The team operates in an R&D sandbox environment
  , not a rigid enterprise setup.
• Success in this role depends on:
• Initiative
• Ability to find solutions with limited direction

A strong candidate will:

• Have 5–7 years of software development experience
• Aerospace background is not required.
• Be highly comfortable in Unix/Linux environments
• Possess full stack development capability (UI + backend)
• Have hands-on exposure to AI/ML or Generative AI concepts
• Demonstrate experience working on complex, real-world systems
• Be a self-starter with a scrappy, problem-solving mindset
• Thrive in less structured, innovation-driven environments