Data Scientist - AI

Engineering - Full time - On-site

Experience :

3 - 5 years

Location :

Mohali/Noida

ABOUT THE ROLE :

We are hiring a Senior AI Engineer to lead the design, development, and deployment of AI-powered systems across our engineering platform. You will work at the intersection of applied machine learning, software engineering, and product delivery - building systems that directly impact how our teams ship software and serve customers.

This is a high-ownership role.

You will not just integrate AI APIs - you will own the end-to-end lifecycle of AI features, from research and prototyping through production reliability.

KEY RESPONSIBILITIES :

- Design and implement LLM-powered features including agents, RAG pipelines, and evaluation frameworks integrated into production systems.
- Ownership. Own the full AI feature lifecycle:
- Prototype, evaluate, and deploy ML models and AI services - including fine-tuning, prompt engineering, and model selection.
- Build and maintain robust data pipelines for model training, evaluation, and monitoring using tools such as Airflow, dbt, or Spark.
- Define and enforce AI quality standards - including automated evals, red-teaming, and latency/accuracy benchmarking.
- Collaborate with product, design, and infrastructure teams to ship AI features that are reliable, explainable, and scalable.
- Establish best practices for AI tooling, code review for ML code, and engineering standards across the AI function.
- Mentor engineers on applied AI techniques, model evaluation, and responsible AI usage.
- Contribute to vendor assessment - including evaluation of AI tools such as Cursor, Claude, GitHub Copilot,



and internal LLM deployments.

REQUIRED QUALIFICATIONS :

- 3 - 5 years of software engineering experience, with at least 2 years focused on AI/ML systems in production.
- Deep proficiency in Python; familiarity with TypeScript or Go is a plus.
- Hands-on experience with LLM frameworks - LangChain, LangGraph, etc.
- Experience building RAG systems, vector databases (Pinecone, Weaviate, pgvector), and semantic search pipelines.
- Strong understanding of model evaluation - offline evals, human feedback loops, A/B testing, and hallucination detection.
- Proficiency with cloud AI services (AWS SageMaker, Azure ML, or GCP Vertex AI) and container-based deployments.
- Familiarity with data engineering and ETL pipelines that feed ML workflows.
- Excellent written and verbal communication - able to explain model behaviour and trade-offs to non-technical stakeholders.

PREFERRED QUALIFICATIONS :

- Experience with fine-tuning or RLHF on open-source models (LLaMA, Mistral, Falcon, or similar).
- Background in NLP, information retrieval, or recommendation systems.
- Familiarity with AI governance, data privacy compliance, and responsible AI frameworks.
- Experience evaluating or deploying AI copilot tooling (Cursor, GitHub Copilot, Codeium) at team or org level.

OUR AI & ENGINEERING STACK:

Languages :

- Python (primary), TypeScript, SQL

LLM/AI :

- Anthropic Claude, OpenAI GPT-4o, LangChain, LlamaIndex

Vector DBs :

- Pgvector, Pinecone, Weaviate

Infra :

- AWS, Docker, Kubernetes, Terraform

Data :

- Dbt, Airflow, Snowflake, Spark

Dev tools :

- Cursor (enterprise), GitHub Copilot, Claude.ai Team

📌 Spice Money - Data Scientist - Artificial Intelligence (India)
🏢 SPICE MONEY
📍 India