Lead Agentic AI Engineer - Remote, LLM & Orchestration

Exavalu Solutions India Pvt Ltd; Polonia; A distancia; PLN 300.000 - 450.000; Jornada completa

Descripción de la vacante

Exavalu Solutions India Pvt Ltd is seeking an experienced Agentic AI Technical Lead to head a dedicated SWAT pod delivering production-grade AI solutions for strategic use cases. This remote role requires hands-on coding, architectural leadership, and mentoring a compact engineering team to build scalable AI agents and workflows.

You will drive the adoption of Agentic AI architectures, RAG, and orchestration frameworks, ensuring robust deployment, monitoring, and CI/CD practices across

Formación

• 10+ years of software engineering, platform engineering, or AI development experience.
• Recent hands-on coding experience in production environments.
• Experience with Large Language Model (LLM) applications, RAG, and Agentic AI solutions.
• Strong understanding of API development, cloud-native architecture, and distributed systems.
• Experience implementing CI/CD pipelines and production monitoring.

Responsabilidades

• Lead a compact Agentic AI SWAT Pod across multiple AI use-case tracks.
• Drive technical architecture and implementation for enterprise Agentic AI solutions.
• Mentor engineers, conduct code reviews, and establish engineering best practices.
• Ensure scalable, secure, and maintainable AI platforms and deployments.

Conocimientos

Python

Java

TypeScript

Agentic AI

RAG

AI Assistants

AI Orchestration

Prompt Engineering

Herramientas

LangGraph

AI Workflow Orchestration

REST APIs

Git

OpenTelemetry

Docker

Distributed Systems

Descripción del empleo

Exavalu Solutions India Pvt Ltd is seeking an experienced Agentic AI Technical Lead to head a dedicated SWAT pod delivering production-grade AI solutions for strategic use cases. This remote role requires hands-on coding, architectural leadership, and mentoring a compact engineering team to build scalable AI agents and workflows.

You will drive the adoption of Agentic AI architectures, RAG, and orchestration frameworks, ensuring robust deployment, monitoring, and CI/CD practices across