Staff / Principal Applied AI Researcher (Agentic Search)
New
J
JobgetherApplied AI
FranceFull-TimeStaff
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 8+ years of professional experience in applied AI, machine learning, software engineering, or a closely related technical field.
- Required Skills
- PythonMachine LearningC++Go
Requirements
- 8+ years of professional experience in applied AI, machine learning, software engineering, or a closely related technical field.
- Proven track record of designing and shipping machine learning or AI systems into production at significant scale.
- Deep expertise in search, information retrieval, ranking, recommendation systems, AI assistants, or related areas.
- Strong understanding of modern deep learning techniques, particularly transformers, embeddings, and LLM-based systems.
- Hands-on experience developing LLM-integrated, knowledge-intensive, retrieval-based, or similar AI systems.
- Experience designing evaluation frameworks, benchmarks, and metrics for machine learning or AI systems.
- Strong programming skills in Python.
- Proficiency in at least one additional systems-oriented language such as Go, C++, or a comparable language.
- Ability to operate effectively in a fast-moving, product-oriented environment with significant ownership, autonomy, and ambiguity.
- Strong research and problem-solving capabilities, with the ability to turn novel ideas into measurable technical improvements.
- Excellent communication and collaboration skills.
Responsibilities
- Drive applied research and technical direction across retrieval, ranking, and agentic search systems.
- Design and evolve multi-stage retrieval architectures covering query understanding, query rewriting, reranking, iterative retrieval, and result refinement.
- Develop approaches that enable LLMs and AI agents to retrieve, evaluate, and reason over constantly changing web data in real time.
- Build systems in which LLMs can iteratively plan, query, refine, evaluate, and reason over retrieved information.
- Define new evaluation frameworks, benchmarks, and metrics for agentic systems.
- Translate successful research into production systems in close collaboration with engineering teams.
- Analyze and optimize trade-offs between relevance, latency, reliability, and infrastructure cost at scale.
- Mentor engineers and researchers, share technical knowledge, and help raise the overall technical standards of the team.
View Full Description & ApplyYou'll be redirected to the employer's site
