We're looking for a Senior Data Scientist - AI Engineering 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. You'll 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 tools—such as Azure OpenAI, AWS Bedrock,



or Snowflake Cortex—to 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 chance 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 best—whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills.
- Snack Zone: Stay fuelled and inspired! In our Snack Zone, you'll 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: We're all about your growth! Enhance your expertise with company-sponsored certifications in AI, Data Science, Cloud, and Analytics technologies.

Please use below link to apply:

https://jobs.smartrecruiters.com/Blend360/744000142129320-senior-data-scientist-ai-engineering-immediate-joiners-

📌 Senior Data Scientist - AI Engineering (Hyderabad)
🏢 Blend360 India
📍 Hyderabad