Senior Applied Researcher, AI
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The role in plain words
- MSc or PhD in Computer Science or a related field
- 7+ years of experience in Data Science, NLP, or applied AI
- At least 2 years of hands-on and research experience with LLMs
- Proven experience delivering complex AI systems into production environments
- Strong research and algorithmic thinking combined with building and shipping systems
- Experience with knowledge graphs, including RDF, SPARQL, and ontologies
- Background in neurosymbolic AI and integrating structured knowledge with LLMs
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Who this suits
Full job description
Original listing · kept for referenceThe Role
We’re looking for a Senior Applied Researcher to take ownership of designing and delivering next-generation AI systems. This role is not purely research or engineering—it requires both. You will drive ideas from early-stage exploration through to robust production deployment, working closely with a strong technical team. If you are motivated by hard problems and expect your work to run in production—not just in papers—this role will fit you well.
What You’ll Do
• Lead the design and development of advanced AI systems based on LLMs, multi-agent workflows, and knowledge graphs
• Drive end-to-end ownership: from research and prototyping to production deployment and iteration
• Build and evaluate systems with clear performance, reliability, and scalability goals
• Design, deploy, and operate multi-agent workflows in production, including observability, monitoring, and evaluation
• Collaborate closely with engineers and researchers to push systems to production-grade quality
What We’re Looking For
• MSc or PhD in Computer Science or a related field
• 7+ years of experience in Data Science, NLP, or applied AI
• At least 2 years of hands-on and research experience with LLMs
• Proven experience delivering complex AI systems into production environments
• Strong research and algorithmic thinking, combined with the ability to build and ship real systems
Nice to Have
• Experience with knowledge graphs, including RDF, SPARQL, and ontologies
• Background in neurosymbolic AI and integrating structured knowledge with LLMs
About Us
At Truelogic AI, we build advanced AI systems at the intersection of LLMs, neurosymbolic reasoning, multi-agent workflows, and knowledge graphs. We focus on solving complex, high-value problems by turning cutting-edge research into production systems that are reliable, measurable, and impactful.
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- MSc or PhD in Computer Science or a related field, 7+ years of experience in Data Science, NLP, or applied AI, At least 2 years of hands-on and research experience with LLMs, Proven experience delivering complex AI systems into production environments, Strong research and algorithmic thinking combined with building and shipping systems