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Popular AI/LLM role in Bangalore but avionics domain specialization reduces candidate pool.
Avionics domain expertise and aerospace standards make cross-industry transfers difficult.
Explicit 3–8 years plus avionics domain and LLM expertise required.
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Develop and implement AI/ML solutions with a focus on Large Language Models and Generative AI within the Avionics/Aerospace domain.
Apply knowledge of avionics software development, testing, verification, or systems engineering in AI projects.
Leverage expertise in Python programming and relevant AI technologies such as Prompt Engineering, RAG, embeddings, vector databases, and LLM APIs.
3 to 8 years of professional experience.
Strong hands-on experience in the Avionics/Aerospace domain.
Proficiency in Large Language Models (LLMs) and Generative AI concepts.
Experience with Python programming or other programming languages.
Experienced in avionics software life cycle including development, testing, verification, or systems engineering.
Familiarity with aerospace industry standards (e.g., DO-178B/DO-178C, DO-254, ARP4754A, ARP4761) is beneficial.
Demonstrates capability in applying AI/ML skills specifically in aerospace or avionics contexts.