Software Engineer AIML

We are building a next-generation engineering and operations ecosystem where AI is not a tool but a co-worker - assisting developers, testers and operations teams in designing, building and running large-scale systems. This internship is about understanding problems deeply and designing better ways to solve them - often using AI. If you enjoy asking “why does this exist?”, this role is for you., DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.

• AI-assisted software development
• Intelligent automation in operations
• Developer productivity engineering
• Observability & incident analysis
• Knowledge discovery and workflow optimization
• Contribute to process documentation to enhance operational efficiency

The skills you bring:

• Programming fundamentals: Strong Python + SQL + basic testing
• ML fundamentals (Regression, Classification, Time-series, Transformers)
• Scikit-learn or TensorFlow experience
• Problem Solving: Breaks ambiguity into clear steps.
• Learning Ability: Learns fast through docs and experiments.
• Communication: Explains simply and documents clearly.

Nice-to-have

• Basic Knowledge of RAG Architectures
• Familiar with ML Evaluation concept: LangSmith or DeepEval
• Agent frameworks: LangGraph / LangChain / LlamaIndex / CrewAI / AutoGen, tool-calling patterns and APIs
• Agent reliability: prompt injection awareness, guardrails, human-in-the-loop
• Vector search: Any kind of VectorDB
• Docker, CI/CD basics; cloud basics; Kubernetes exposure
• Basic Knowledge of Agentic Reasoning: Designing ReAct, Chain-of-Thought, Tree-of-Thoughts, and multi-agent workflows
• 2.7+ GPA on a 4.0 scale or equivalent
• Available for a full-time internship for 12-24 weeks
• Actively enrolled in an accredited undergraduate or Masters on a full-time basis at a 4-year college or university at the time of the internship
• Ability to work in a hybrid working model with 60% of your time (3 days/week) in the office

At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals.