Full stack AI developer

Arkhya Tech. Inc.

Irving (TX)

On-site

USD 140,000 - 170,000

Full time

4 days ago
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Job summary

Arkhya Tech. Inc. in Irving, TX, is seeking a senior software engineer with a strong background in Python and Java backend development to lead real-world agent-based projects.

The role requires 10+ years of software development, hands-on AI/ML or GenAI experience, and experience deploying agents in production, REST APIs, and distributed systems. You will work with Google Cloud Platform, Vertex AI, and MCP servers to orchestrate agent-to-agent communication and scalable solutions.

Qualifications

  • 10+ years of software development experience.
  • Strong hands on experience in Python.
  • 2+ years experience building and deploying real world agents in Production environment.
  • Strong hands-on experience in Java backend development (4+ years exp).
  • Hands of experience in developing AI/ML or Generative AI projects.
  • Hands on experience on Google ADK, MCP servers, agent to agent communication, agent orchestration.
  • REST APIs and distributed systems design.
  • Hands on experience on Python, LLMs, GenAI, and agent-based systems.
  • Hands on experience with GCP services (Vertex AI preferred).

Skills

Software development
Python
Java backend
AI/ML
GenAI
REST APIs
Distributed systems
Agent-based systems
Production deployment

Tools

Google ADK
Vertex AI
GCP services
MCP servers

Job description

  • 10+ years of software development experience
  • Strong hands on experience in Python
  • 2+ years experience building and deploying real world agents in Production environment
  • Strong hands-on experience in Java backend development (4+ years exp)
  • Hands of experience in developing AI/ML or Generative AI projects
  • Hands on experience on Google ADK, MCP servers, agent to agent communication, agent orchestration.
  • REST APIs and distributed systems design
  • Hands on experience on Python, LLMs, GenAI, and agent-based systems
  • Hands on experience with GCP services (Vertex AI preferred)
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