Lead, AI Engineer

Blend360; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Competitive salary

Career growth

Certifications

Job summary

Blend360招聘高级AI数据科学家，设计、构建并落地面向营销分析的代理式AI系统。职位偏向一线工程实现，聚焦生产就绪的LLM代理、工具和数据管线。

候选人需具备在实际场景中落地GenAI/LLM解决方案、设计评估框架、并具备Pythons/MLOps等核心能力。该岗位要求与多云环境及生产级数据管线紧密协作。

Qualifications

• 4+ years in AI/ML with 2+ years in Generative AI solutions.
• Strong Python and major ML frameworks experience.
• Experience with LLMs, tool-use prompting, and structured output.

Responsibilities

• Design and build agentic AI systems - multi-step, tool-using agents that automate marketing analytics workflows.
• Develop and deploy Claude Skills, custom tools, and function-calling workflows with guardrails.
• Build and maintain Retrieval-Augmented Generation (RAG) pipelines and grounding strategies.
• Implement LLM-as-judge and evaluation frameworks to score outputs at scale.
• Own LLMOps/AIOps: prompt versioning, deployments, monitoring, drift detection, regression testing.
• Apply MLOps discipline: CI/CD for ML/LLM, containerization, experiment tracking, cloud deployment.

Skills

AI/ML engineering

GenAI/LLM

Python

PyTorch

TensorFlow

MLOps

Docker/Kubernetes

Cloud(AWS/GCP/Azure)

SQL

Evaluation design

Client-facing

Education

Bachelor's/Master's in CS/AI/ML

Tools

MLflow

Weights & Biases

Claude/OpenAI tools

Snowflake Cortex

Docker

Kubernetes

Job description

We're 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. 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

• At least 4 years of overall AI/ML experience out of 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.

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 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.