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
ceRequire
d: Bachelor’s degree in
a ST
EM field with experience applying data science in a commercial settin
g.Preferre
d: 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 operationalizin
g 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.(Bonu
s) Familiarity with th
e Insurance doma
in or experience in a regulated industr

y.

📌 Applied Ai Scientist Bengaluru (India)
🏢 Recro
📍 India