GenAI Engineer

Amdocs • San Francisco, CA

13h

About The Position

Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers’ innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers’ migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5.00 billion in fiscal 2024. 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.
Responsible for design, development, modification, debug and/or maintenance of software systems

Requirements

• Bachelor’s or graduate degree in Computer Science or related field, or equivalent experience.
• 5+ years in a Data Engineering role (preferred, not required).
• Strong programming skills, including functional programming and object-oriented languages such as Python, Java, or Scala.
• Solid understanding of system design, data structures, algorithms, complexity analysis, and standard design patterns.
• Experience building high‑performance, scalable distributed systems, multi-threaded applications, and large-scale production systems.
• Proficiency with software development tools and practices: debugging, profiling, security, logging, and monitoring.
• Strong experience in Linux/Unix environments, including shell scripting and basic system administration.
• Hands-on experience with big data and streaming technologies (e.g., Spark, Kafka, Snowflake).
• Working knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Redis).
• Experience developing and deploying applications using CI/CD pipelines and working with RESTful APIs.
• Familiarity with AWS or Azure cloud architectures.
• Experience managing multi-user environments and optimizing data partitioning in memory.
• Quick learner with strong collaboration skills and a positive attitude.
• Experience in early-stage software development and testing.

Nice To Haves

• GenAI experience is a plus.

Responsibilities

• Productionize AI/ML and LLM-powered workflows (e.g., LangGraph, LangChain, CrewAI) with strong emphasis on reliability, reproducibility, and auditability.
• Apply LLMOps fundamentals, including prompt/model/config versioning and maintaining traceable, complete run metadata.
• Build and maintain an LLM evaluation framework—golden datasets, regression tests, scoring rubrics, quality thresholds, and trend tracking for non-deterministic outputs.
• Implement observability across LLM pipelines through structured logging, metrics, dashboards, alerting, latency breakdowns, error taxonomies, and token/cost tracking.
• Design and integrate tool-calling and agent skills, including function-calling interfaces, schemas, guardrails, and structured outputs for data pipelines or services.
• Apply API reliability patterns for model calls, such as rate limiting, retries/backoff, circuit breakers, timeouts, idempotency, and replay/backfill strategies.
• Stay curious and continuously learn in the fast-evolving GenAI landscape, rapidly experimenting and then hardening solutions for production readiness.

Benefits

• Ability to grow and gain many opportunities for professional development
• We are a dynamic, multi-cultural organization that constantly innovates and empowers our employees to grow. Our people our passionate, daring, and phenomenal teammates that stand by each other with a dedication to creating a diverse, inclusive workplace!
• We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level