Lead Agentic AI Engineer - Remote, LLM & Orchestration

Exavalu Solutions India Pvt Ltd

Poland

Remote

PLN 300,000 - 450,000

Full time

14 days+

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Job summary

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

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Python
Java
TypeScript
Agentic AI
RAG
AI Assistants
AI Orchestration
Prompt Engineering

Tools

LangGraph
AI Workflow Orchestration
REST APIs
Git
OpenTelemetry
Docker
Distributed Systems

Job description

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

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