AI and Automation Developer

EricssonPlano, TX
Onsite

About The Position

Join Ericsson’s Technology Operations AI (TOAI) team to operationalize AI and automation at scale across North America. You’ll build production-grade AI, GenAI, and agentic solutions that streamline telecom operations, cut manual work, and enable faster, data-driven decisions—delivering measurable cost and efficiency gains in how networks are deployed and managed.

Requirements

  • Bachelors in Computer Science or related field of study
  • 3 to 5 years' experience in Python, SQL DB, Flask, Pandas, JSON, Angular (preferred) or React.
  • Strong experience with Python development, including libraries such as Pandas and JSON handling.
  • Hands-on experience building REST APIs using Flask or similar frameworks.
  • Experience working with LLM-based systems, including prompt engineering and model configuration.
  • Familiarity with agent frameworks such as LangChain or LangGraph.
  • Experience with cloud-native architecture and API-based integrations.
  • Knowledge of containerization technologies (Docker) and orchestration platforms such as Kubernetes (AKS preferred).
  • Strong experience with SQL and structured data processing.
  • Experience with API testing tools such as Postman.
  • Strong collaboration, problem-solving, and communication skills.

Nice To Haves

  • Experience designing agent-based workflows including memory management, tool orchestration, and human-in-the-loop interactions.
  • Experience deploying AI solutions in Azure cloud environments.
  • Familiarity with Angular or React for building lightweight user interfaces.
  • Experience with YAML-based configuration and infrastructure automation.
  • Exposure to AI observability and application monitoring tools.
  • Experience with Azure Application Insights, Docker, Kubernetes

Responsibilities

  • Design and ship AI-powered automation and agentic workflows that eliminate manual operational tasks.
  • Build LLM/GenAI solutions (GPT-style interfaces, conversational agents, workflow tools) backed by Python REST APIs.
  • Orchestrate agents with LangChain/LangGraph, including memory/state, tool integrations, and human-in-the-loop patterns.
  • Develop scalable data pipelines using Pandas/SQL/JSON; integrate with enterprise APIs in secure cloud-native architectures.
  • Containerize, deploy, and operate solutions with Docker and Kubernetes (AKS), preferably in Azure.
  • Monitor and troubleshoot with observability (e.g., Azure Application Insights) and document architectures, workflows, and pipelines.
  • Partner cross-functionally to identify automation opportunities that reduce cost and improve execution efficiency.

Benefits

  • Annual bonus
  • Choice of three medical plan options
  • Dental plan option
  • Company credits towards medical and dental premiums
  • 401(k) Plan with automatic 3% company contribution
  • 401(k) matching $1 for $1 on the first 3% of eligible pay, plus 50 cents on every $1 on the next 2% of eligible pay
  • Company credits for basic life insurance and basic accidental death and dismemberment coverage
  • Company credits for short-term and long-term disability coverage
  • Stock Purchase Plan
  • 15 days of accrued vacation
  • Up to 3 personal days per year
  • 11 annual holidays
  • 8 hours of volunteer time
  • 80 hours of sick time annually
  • Up to 16 weeks of paid maternity leave
  • 6 weeks of parental or adoption leave at 100% of pay
  • Financial wellness programs
  • Educational assistance
  • Matching gifts
  • Recognition programs
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