Senior AI Engineer

Role Overview

Were seeking a Senior AI Engineer with a strong enterprise SaaS engineering background who is now passionate about Agentic AI development. This role blends AI systems design, data engineering, and infrastructure automationideal for someone who understands large-scale software architectures and wants to pioneer the next wave of autonomous AI workflows.

Youll architect, build, and deploy context-aware AI Agents leveraging LLMs, contextual embeddings, semantic data modeling, and pipeline automation across distributed environments.

Key Responsibilities

• Design and implement Agentic AI architectures using LLMs (OpenAI, Anthropic, or custom fine-tuned models) and context engineering techniques.

• Develop vibe-coded, self-adaptive pipelines that integrate AI-driven automation for data ingestion, transformation, and decision-making.

• Architect semantic data layers using graph (Neo4j) and document (MongoDB) models for agent memory, reasoning, and retrieval.

• Build and optimize PySpark-based data workflows for high-throughput analytics and dynamic context generation.

• Deploy, monitor, and scale AI Agents on AWS EKS (Kubernetes) with automated DevOps pipelines.

• Integrate tools such as Athena, S3, and Lambda for hybrid data processing and real-time feedback loops.

• Contribute to the continuous improvement of AI observability, governance, and security practices within distributed agent ecosystems.