AI Engineer – LLM,RAG, Entry Level

Qualifications

• Master’s or Ph.D. in Computer Science, Machine Learning, or a related field; or a Bachelor’s degree with a minimum of 2 years of hands-on industry experience in software engineering
• Demonstrable experience or strong projects in LLM/RAG development
• Strong skills in Python and data analysis libraries (Pandas, NumPy, SQL)
• Hands-on experience with vector databases (e.g. Milvus, Chroma) and RAG evaluation frameworks (e.g., Ragas, DeepEval)
• Clear communication and presentation skills

Responsibilities

• Design, implement, test, and continuously optimize end-to-end RAG pipelines, including data parsing, ingestion, prompt engineering, and chunking strategies
• Curate and develop high-quality datasets, using synthetic data generation for robust training and evaluation
• Rigorously evaluate LLM applications on metrics including correctness, latency, and hallucination
• Assist in the deployment of LLM-based applications, analyze user feedback, and contribute to iterative improvements
• Write clean, maintainable, and testable code following best practices
• Collaborate with cross-functional teams (Data/Labeling, Validation)

Full Description

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Job Summary:

Acubed is building scalable autonomy systems for the next generation of commercial aircraft, focusing on machine learning technologies for autonomous flight. As an AI Engineer on the Wayfinder team, you will develop and enhance AI systems, working on the full lifecycle of AI applications to meet performance benchmarks and impact the future of aviation.

Responsibilities:

• Design, implement, test, and continuously optimize end-to-end RAG pipelines, including data parsing, ingestion, prompt engineering, and chunking strategies.

• Curate and develop high-quality datasets, using synthetic data generation for robust training and evaluation.

• Rigorously evaluate LLM applications on metrics including correctness, latency, and hallucination.

• Assist in the deployment of LLM-based applications, analyze user feedback, and contribute to iterative improvements.

• Write clean, maintainable, and testable code following best practices.

• Collaborate with cross-functional teams (Data/Labeling, Validation).

Qualifications:

Required:

• Master’s or Ph.D. in Computer Science, Machine Learning, or a related field; or a Bachelor’s degree with a minimum of 2 years of hands-on industry experience in software engineering.

• Demonstrable experience or strong projects in LLM/RAG development.

• Strong skills in Python and data analysis libraries (Pandas, NumPy, SQL).

• Hands-on experience with vector databases (e.g. Milvus, Chroma) and RAG evaluation frameworks (e.g., Ragas, DeepEval).

• Clear communication and presentation skills.

Preferred:

• Full-stack development experience, particularly integrating AI models into applications using frameworks like React and Python (e.g., FastAPI, Flask).

• Familiarity with RL, techniques for fine-tuning LLMs (e.g., LoRA), and other emerging ML methodologies.

• Hands-on experience with open-source LLMs (e.g., Mistral, Llama series) and inference tools like Ollama or vLLM.

• A passion for aviation and autonomous systems.

Company:

Acubed is an aerospace center that provides flight services with artificial intelligence technology. Founded in 2015, headquartered in Sunnyvale, California, USA, team size 51-200 employees, currently Growth Stage.