Entry Level Software Engineering, Agentic AI & Workflow Automation

IBM

Confirmed live yesterday High trust

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Work type: On-site
Location: —
Posted: 17 days ago
Freshness: Confirmed live yesterday

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Similar $192k

$138k most similar roles pay here $244k

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Based on 240 similar postings.

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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 506 open roles on FindRole.

Listed pay typically runs $174,632–$197,165 across 5 roles with salary data.

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TL;DR · Entry Level Software Engineering, Agentic AI & Workflow Automation

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Entry Level Software Engineering – Agentic AI & Workflow Automation 2027 is a role within a team focused on developing next-generation agentic AI capabilities and automated workflows to support data and engineering operations at scale. You will develop Python-based services, tools, and agents while designing and prototyping reasoning patterns, retrieval pipelines, and evaluation harnesses. Your daily work involves backend tasks like API development, orchestration logic, and system integration using Kubernetes, vector databases such as Milvus, and distributed systems. The role requires proficiency in Python with libraries like pydantic, pandas, and asyncio, alongside a solid grasp of data structures, algorithms, and REST APIs. You will also engage with LLMs and workflow automation frameworks to solve complex problems involving automated workflows and large-scale infrastructure within the context of enterprise-level data platforms and AI systems.

Skills

Python LLMs LangChain Hugging Face OpenAI SDK Kubernetes Docker Milvus Pinecone Weaviate REST APIs Microservices CI/CD Git Pandas Pydantic Asyncio Distributed Systems Data Pipelines

What you'll do

Develop Python-based services, agents, and tooling to support AI workflows and automation.
Design and prototype agentic AI patterns including reasoning agents, workflow planners, and retrieval pipelines.
Perform backend engineering tasks such as API development, orchestration logic, and system integration.
Build, configure, and test AI workflows on platforms like Kubernetes and vector databases.
Troubleshoot technical issues and optimize system performance for data and engineering operations.
Document designs, experiments, and findings in clear engineering artifacts.

What we're looking for

High School Diploma or GED required.
Bachelor's Degree (preferred).
Strong proficiency in Python and libraries like requests, pydantic, pandas, or asyncio.
Solid understanding of software engineering fundamentals including data structures, algorithms, debugging, and testing.
Familiarity with REST APIs, microservices, or event-driven systems.
Experience with AI/ML libraries such as OpenAI SDK, LangChain, or Hugging Face (preferred).
Exposure to Kubernetes, Docker, cloud-native environments, or vector databases (preferred).
Knowledge of asynchronous programming, distributed systems, or CI/CD practices (preferred).

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