Role: Applied AI Scientist.

Experience: 7 years

Location: Remote

Required Skills: ML, RAG, LLMs, Gen AI, Agentic AI, Applied Generative AI

Key Responsibilitie
sAI Solution Development: Combine classical ML and cutting-edge Gen AI/agentic methods to solve key business challenges and drive operational efficiency
.Proof-of-Concept & Experimentation: Plan and execute structured PoCs for Generative and Agentic AI systems—covering large-scale prompt optimization, fine-tuning, and model selection
.Evaluation & Benchmarking: Design robust evaluation frameworks, define quantitative quality metrics, and construct benchmarks to test real-world AI performance
.Quality & Safety Assurance: Establish groundedness, safety, and hallucination metrics to ensure trustworthy AI behavior
.Model Analysis: Analyze foundation model behavior in dev/prod settings to identify failure modes, bias, and performance limits
.Cross-Functional Collaboration: Translate complex AI concepts into transparent, accessible insights for operational stakeholders and non-technical business partners




.Agile Culture: Contribute to the AI Enablement operating model, adopting agile methodologies and building reusable AI best practices

.

What We’re Looking Fo r:Education & Experien
ceRequired: Bachelor’s degree in a STEM field with experience applying data science in a commercial settin
g.Preferred: Master’s degree or higher in a STEM fiel

d.Technical Skil
lsStrong foundation in statistical modeling and classical Machine Learnin
g.Hands-on experience with GenAI methods: prompt engineering, RAG, fine-tuning strategies, and LLM output assessmen
t.Experience building and operationalizing Agentic AI solution
s.Proven track record designing evaluation frameworks, benchmark construction, A/B testing, and quality metric
s.Excellent data visualization and technical communication skill
s.(Bonus) Familiarity with the Insurance domain or experience in a regulated industr

y.

📌 Applied Ai Scientist Bengaluru
🏢 Recro
📍 Bengaluru