Software Engineer - Graduate

Amdocs provides software products and services for communications and media companies, supporting customer experience, network performance, cloud modernization, and revenue growth. The Software Engineer - Graduate role focuses on designing, developing, debugging, and maintaining software systems, with an emphasis on Generative AI, software engineering, data engineering, and reliable production solutions.

What you'll do:

• You will design, develop, modify, debug and/or maintain software code according to functional, non-functional and technical design specifications
• You will follow Amdocs software engineering standards, applicable software development methodology and release processes, to ensure code is maintainable, scalable, and supportable, and demo the software products to stakeholders
• You will investigate issues by reviewing/debugging code, provide fixes and workarounds, and review changes for operability to maintain existing software solutions
• You will work within a team, collaborate and add value through participation in peer code reviews, provide comments and suggestions, and work with cross functional teams to achieve goals
• You will assume technical accountability for your specific work products within an application and provide technical support during solution design for new requirements
• You will be encouraged to actively look for innovation, continuous improvement, and efficiency in all assigned tasks
• You will be challenged to design and develop new software applications
• You will have the opportunity to work in a growing organization, with ever growing opportunities for personal growth

What they're looking for:

• Bachelor's degree in Science/IT/Computer Science or equivalent
• Graduates 0 - 18 months
• We're looking for a recent graduate or early-career engineer with a strong interest in Generative AI, Software Engineering, and Data Engineering
• Experience/knowledge of Agentic development
• Preferable using LangGraph, LangChain, or CrewAI with a focus on reliability, reproducibility, and auditability
• Knowledge in Data Engineering and Software Development
• Preferable using Python, REST APIs, Pyspark/Spark, NO-SQL (MongoDB), SQL- PostgreSQL, Redis, Databricks, Delta Lake, Azure Cloud
• Strong fundamentals in Algorithms and Software Engineering, Test Automations etc
• LLMOps - Large Language Model Operations Fundamentals, including prompt/model/config versioning and traceable run metadata
• LLM - Large Language Model Evaluation framework (golden datasets, regression tests, scoring/rubrics, quality thresholds, trend tracking) for non-deterministic outputs
• Observability for LLM pipelines, including structured logging, metrics, dashboards, alerting, latency breakdown, error taxonomy, and token/cost tracking
• Familiarity Experience designing and integrating Tool-calling / agent skills (function calling, tool interfaces, input/output schemas, guardrails, structured outputs) into data pipelines or services

Benefits:

• Fostering growth
• Embracing flexibility
• Opportunity for personal growth