Senior AI/ML Developer Hiring at Infogain – High Salary AI Infrastructure Role (USA) | Apply Now

Senior AI/ML Developer Hiring at Infogain – High Salary AI Infrastructure Role (USA) | Apply Now

Senior AI/ML Developer Hiring at Infogain – Build LLM Infrastructure (USA)

Posted by JobsForAll

High paying AI job in USA for senior machine learning engineers working on LLM, Kubernetes and cloud infrastructure with salary above $120K

If you're aiming to work at the forefront of Artificial Intelligence, this opportunity with Infogain could be your next big career move. The company is hiring experienced AI/ML engineers to build scalable systems powering large language models and autonomous AI agents.

💭 JobsForAll Note: This is not a typical coding role — you will work on real-world AI systems, LLM deployment, and large-scale infrastructure. Perfect for engineers targeting top-tier AI careers.

🏢 Company Overview

Infogain is a Silicon Valley-based digital engineering company that delivers AI-driven solutions for Fortune 500 enterprises. The company specializes in cloud, AI, automation, and modern software platforms, helping businesses transform digitally at scale.

💼 Job Summary

As a Senior AI/ML Developer, you will design and manage infrastructure for Large Language Models (LLMs), multi-agent AI systems, and high-performance computing environments. You will bridge the gap between AI research and production systems.

✅ No Registration Fee    ✅ Direct Company Hiring

📋 Job Details

RoleSenior AI/ML Developer
Experience6 – 8 Years
LocationMenlo Park, USA
SkillsPython, TensorFlow, Kubernetes, AI/ML
IndustryArtificial Intelligence / Software Engineering

🧠 Key Responsibilities

  • Design infrastructure for LLMs and AI model deployment
  • Optimize GPU/TPU utilization and inference performance
  • Build scalable systems for AI agent orchestration
  • Implement observability tools for monitoring AI systems
  • Develop CI/CD pipelines for AI model lifecycle
  • Collaborate with research and engineering teams

⚙️ Required Skills

  • Strong experience in Python and backend systems
  • Hands-on with Kubernetes, Docker, Terraform
  • Experience with LLM serving tools (vLLM, Triton)
  • Knowledge of distributed systems and cloud platforms
  • Understanding of AI agent frameworks (LangChain, CrewAI)

🚀 Preferred Skills

  • Experience with vector databases (Pinecone, Milvus)
  • Knowledge of RAG pipelines and LLM optimization
  • Exposure to high-scale AI infrastructure systems

🎯 Who Should Apply

  • Experienced AI/ML Engineers
  • Backend Developers transitioning to AI
  • DevOps/SRE engineers interested in AI systems

⚠️ Who Should Not Apply

  • Freshers with no AI or backend experience
  • Developers without cloud or infrastructure knowledge

💰 Compensation Note

This is a high-paying AI role. Salaries typically range between $120K – $180K+ depending on experience and expertise.

📢 Apply Now

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📚 Resources & Career Guides

If you're targeting global AI careers, these guides will help you grow faster:

❓ FAQs

Is this role suitable for beginners?

No, this role requires 6+ years of experience in AI/ML or backend systems.

What technologies are required?

Python, Kubernetes, AI/ML frameworks, and cloud platforms are essential.

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