Software Engineer - Graduate

Amdocs•Plano, TX

2d•Onsite

About The Position

Amdocs helps the world’s leading communications and media companies deliver exceptional customer experiences through reliable, efficient, and secure operations at scale. We provide software products and services that embed intelligence into how work runs across business, IT, and network domains –delivering measurable outcomes in customer experience, network performance, cloud modernization, and revenue growth. With our talented people, and more than forty years of experience running mission-critical systems around the globe, Amdocs runs billions of transactions daily. Our technology is relied on every day, connecting people worldwide and advancing a more inclusive, connected world. Together, we help those who shape the future to make it amazing. Amdocs is listed on the NASDAQ Global Select Market (NASDAQ: DOX) and reported revenue of $4.53 billion in fiscal 2025. For more information, visit www.amdocs.com At Amdocs, our mission is to empower our employees to 'Live Amazing, Do Amazing' every day. We believe in creating a workplace where you not only excel professionally but also thrive personally. Through our culture of making a real impact, fostering growth, embracing flexibility, and building connections, we enable them to live meaningful lives while making a difference in the world.

Requirements

Bachelor's degree in Science/IT/Computer Science or equivalent
Graduates 0 - 18 months
Strong interest in Generative AI, Software Engineering, and Data Engineering.
Experience/knowledge of Agentic development
Knowledge in Data Engineering and Software Development
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 with designing and integrating Tool-calling / agent skills (function calling, tool interfaces, input/output schemas, guardrails, structured outputs) into data pipelines or services
Familiarity with APIs reliability patterns relevant to model calls (rate limiting, retries/backoff, circuit breakers, timeouts, idempotency, replay/backfill)
Curiosity and self-learning ability in fast-evolving GenAI industry; able to iterate quickly and then harden solutions for production

Nice To Haves

Preferable using LangGraph, LangChain, or CrewAI with a focus on reliability, reproducibility, and auditability
Preferable using Python, REST APIs, Pyspark/Spark, NO-SQL (MongoDB), SQL- PostgreSQL, Redis, Databricks, Delta Lake, Azure Cloud

Responsibilities

Design, develop, modify, debug and/or maintain software code according to functional, non-functional and technical design specifications.
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.
Investigate issues by reviewing/debugging code, provide fixes and workarounds, and review changes for operability to maintain existing software solutions.
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.
Assume technical accountability for your specific work products within an application and provide technical support during solution design for new requirements.
Actively look for innovation, continuous improvement, and efficiency in all assigned tasks.