Senior Data Scientist AI Engineering

Were looking for a Senior AI Data Scientist to design build and operationalize agentic AI systems for our customers marketing analytics practice. This is a hands-on engineering role focused on building production-grade LLM agents tools and pipelines not a research or architecture-strategy role. Youll work as a data scientist to turn LLM/agentic capabilities into deployed monitored and reliable systems.

Key Responsibilities:

• Design and build agentic AI systems multi-step tool-using agents that automate marketing analytics workflows (segmentation narratives campaign insight generation reporting data QA).
• Develop and deploy Claude Skills custom tools and function-calling workflows to extend agent capabilities within defined guardrails.
• Build and maintain Retrieval-Augmented Generation (RAG) pipelines chunking embedding vector store design retrieval tuning and grounding strategies for internal marketing/media data.
• Implement LLM-as-judge and other automated evaluation frameworks to score agent/model outputs for accuracy hallucination and consistency at scale.
• Own LLMOps/AIOps practices: prompt versioning model/version rollout strategy cost and latency monitoring output drift detection and automated regression testing for LLM pipelines.
• Apply MLOps discipline to AI systems CI/CD for ML/LLM pipelines containerization (Docker/Kubernetes) experiment tracking (MLflow W&B) and reproducible deployment across cloud platforms (AWS GCP Azure).
• Integrate LLM APIs (Anthropic Claude OpenAI) into production pipelines including structured output handling function/tool calling and multi-agent orchestration.
• Build evaluation harnesses and guardrails for agentic systems output validation safety checks fallback logic and human-in-the-loop review points.
• Write clean production-quality Python and SQL to support data extraction pipeline development and agent tooling.
• Collaborate with data scientists to embed agentic/LLM components into existing marketing mix segmentation and targeting workflows.
• Document architecture prompt design decisions and evaluation methodology for reproducibility and team knowledge-sharing.
• Stay current with the fast-moving agentic AI ecosystem and proactively bring in relevant tools frameworks and techniques.

Qualifications :

• Atleast 4 years of overall AI/ML experience out if which at least 2 years of Generative AI solutions.
• Strong background in applied ML data science LLM and Agentic AI Engineering Systems with demonstrated delivery and client facing experience.
• Deep expertise in evaluation design metrics and dataset curation for LLM systems.
• Proven experience in model selection and prompt engineering including structured output and tool-use prompting.
• Strong proficiency in Python and major ML frameworks (PyTorch TensorFlow Scikit-learn).
• Strong experience in LLM fine-tuning RAG Context Engineering Claude Code Open AI Codex Agentic Workflows.
• Strong RAG design choices (chunking embeddings retrieval strategies reranking) and how to evaluate them.
• Must have implemented Agentic AI SDLC
• Working with GenAI on Azure AWS or Snowflake involves leveraging cloud-native AI toolssuch as Azure OpenAI AWS Bedrock or Snowflake Cortexto build or consume intelligent solutions directly on governed data.
• Experience on vibe coding - such as AntiGravity Cursor and VS Code is highly desirable.
• Proven ability to build end-to-end GenAI MVPs in Python (RAG/agents evaluation harness) and prepare them for production handoff.
• Excellent communication and stakeholder management skills with a strategic mindset.

Additional Information :

Thrive & Grow with Us

• Competitive Salary: Your skills and contributions are highly valued here and we make sure your salary reflects that rewarding you fairly for the knowledge and experience you bring to the table.
• Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly providing the right tools mentorship and experiences to fast-track your career.
• Idea Tanks: Innovation lives here. Our Idea Tanks are your playground to pitch experiment and collaborate on ideas that can shape the future.
• Growth Chats: Dive into our casual Growth Chats where you can learn from the bestwhether its over lunch or during a laid-back session with peers its the perfect space to grow your skills.
• Snack Zone: Stay fuelled and inspired! In our Snack Zone youll find a variety of snacks to keep your energy high and ideas flowing.
• Recognition & Rewards: We believe great work deserves to be recognized. Expect regular Hive-Fives shoutouts and the chance to see your ideas come to life as part of our reward program.
• Fuel Your Growth Journey with Certifications: Were all about your growth! Enhance your expertise with company-sponsored certifications in AI Data Science Cloud and Analytics technologies.

Remote Work :

No

Employment Type :

Full-time