Full-Stack AI Engineer / Data Scientist – Agentic Systems

Overview

Full-Stack AI Engineer / Data Scientist to build agentic generative AI systems and classical ML systems end-to-end, from concept and EDA through production, monitoring, and continuous improvement.

What you'll do

• Design and build advanced agentic AI systems and state-machine/search-based conversational systems.
• Develop multimodal workflows using large foundational multimodal models for text, audio, and video.
• Implement Model Context Protocol (MCP) servers/clients to standardize context exchange.
• Deliver end-to-end features with production-ready Python (and occasionally TypeScript) plus testing and documentation.
• Manage DevOps/MLOps lifecycle with Docker and CI/CD on AWS/multicloud.
• Run EDA to uncover patterns, detect bias, and identify data quality issues, then design data pipelines.
• Evaluate and monitor models using experimentation (A/B testing) and metrics/telemetry, including drift and anomaly detection.

What you'll need

• 7+ years of experience in AI/ML engineering and Data Science, including exposure to generative AI, agents, and classical ML.
• 3+ years hands-on experience with generative large language models and agents.
• Advanced production-grade proficiency in Python; TypeScript is an advantage.
• Deep expertise with LangChain (or similar) for LLM orchestration and agentic system design/state machine logic.
• Practical experience designing cloud solutions on AWS; multicloud familiarity is a plus.
• Strong knowledge of vector/graph databases and SQL/NoSQL; familiarity with Snowflake and data lakes.
• Expertise in API design, CI/CD, Docker, Infrastructure as Code, and automated testing.

Details

• Code using AI coding agents (e.g., Claude Code) to accelerate full-stack development cycles.
• Occasionally work times across the Central European Timezone when necessary.
• Company location tag: #Hyderabad2026.