Contextual AI is a leader in retrieval-augmented generation (RAG), founded by RAG pioneers. The company empowers enterprises to build specialized RAG agents for expert knowledge work, enhancing productivity for Fortune 500 clients like HSBC and Qualcomm. With services including artificial intelligence, large language models, generative AI, and more, Contextual AI offers a comprehensive suite of solutions for businesses seeking to leverage advanced AI technologies.
Open Positions
Member of Technical Staff (Security)
Bachelor's degree in CS/IS or related field. 5+ years of production experience. Proficiency in Python, Java, or C/C++
Member of Technical Staff (Research)
Bachelor's degree in CS/Eng or related. Strong software engineering & ML fundamentals. Research experience is a plus
Enterprise Account Executive
4+ yrs tech sales experience. 2+ yrs in a startup environment. Proven track record of revenue-generating deals. Strong communication & technical understanding skills
Member of Technical Staff (Data Ingestion)
2+ years experience in scaling infrastructure and machine learning concepts, Master's or PhD degree in Computer Science or related field
UX Designer
2+ years of experience in visual design, product design, or interaction design, Bachelor’s degree in Design, Human-Computer Interaction, or related field, or equivalent experience
Forward Deployed Engineer
Bachelor's degree in computer science, engineering, or a related field, 2+ years of experience in enterprise SaaS, AI/ML, infrastructure, or similar industries, and proficiency in data infrastructure and modern machine learning tools
Solutions Architect
Bachelor's degree in computer science, engineering, or a related field; experience in enterprise SaaS, AI/ML, infrastructure, or similar industries; proficiency in data infrastructure and modern machine learning tools
Business Development Representative
Bachelor's degree, 3+ months experience in sales, marketing or customer service role, excellent communication skills
Member of Technical Staff (Research Engineer - LLM Systems & Performance)
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field, with strong programming skills in Python and experience with PyTorch or JAX