Software Developer ELH

IBM

Quick summary

Work type: On-site
Location: San Jose, CA
Posted: 6 days ago

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How this pay compares to similar roles

Similar $178k

$122k most similar roles pay here $239k

This listing doesn't post a salary. Most similar roles pay $142,400–$214,500.

Based on 240 similar postings.

Employer

About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 743 open roles on FindRole.

Listed pay typically runs $1,000,000–$1,000,000 across 8 roles with salary data.

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At a glance

TL;DR · Software Developer ELH

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As a Junior Backend Engineer on the AI Systems team, you will contribute to the full software development lifecycle by designing, implementing, testing, and deploying Python-based backend services and LLM-integrated agentic components. Your day-to-day responsibilities include developing containerized services with Docker and Kubernetes, participating in code reviews and design discussions, and learning through mentorship and technical deep dives. You should have strong Python skills, familiarity with Java for high-performance applications, and basic knowledge of Docker and Kubernetes. Additionally, experience with Git, FastAPI or Flask, PyTorch, and vector databases is essential, along with a solid understanding of machine learning fundamentals and LLM-based agent architectures. This role involves working on cutting-edge AI systems that require reliability, monitoring, and performance evaluation expertise.

Skills

Python Docker Kubernetes Java Git FastAPI Flask SpringBoot PyTorch CI/CD VectorDatabases LLM_Agents Agent_Evaluation Reliability_Monitoring

What you'll do

Design, implement, test, and deploy backend services using Python.
Build containerized services using Docker and Kubernetes for deployment.
Integrate LLM-based agentic components into software solutions.
Participate in code reviews and design discussions to improve code quality.
Develop and maintain toolkits for AI systems with a focus on performance.

What we're looking for

Strong Python skills and experience with high-performance languages like Java.
Familiarity with Docker, Kubernetes, and containerized service development.
Understanding of LLM-based agentic components and machine learning fundamentals.
Experience with Git, code reviews, and Agile development methodologies.
Proficiency in building backend services using FastAPI, Flask, or Spring Boot.
Knowledge of PyTorch for training and inference in AI systems.
Strong analytical skills and ability to debug complex problems.

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