Medior Data/AI Engineer

Who we’re looking for

• Experience with Python development (FastAPI, Flask; SQL/NoSQL databases).
• Experience with prompt engineering for LLMs (e.g., OpenAI, Anthropic, open source).
• Good understanding of context management concepts (session management, vector search, retrieval).
• Hands-on experience with agentic/conversational flow frameworks such as LangGraph.
• Experience with Retrieval-Augmented Generation (RAG) and multi-agent workflow concepts.
• Familiarity with cloud environments and basic containerization (Docker) is a plus.
• Willingness to learn and apply modern API development and microservice patterns (REST, GraphQL).
• Exposure to data engineering tools/technologies (e.g., Spark, Kafka, Databricks, Snowflake) and SQL/another relevant language a plus.
• Experience with AI-powered IDEs and tools (e.g., Visual Studio, GitHub Copilot, Windsurf, Cursor).
• Interest in, or basic exposure to, fine-tuning language models is a PLUS.
• Interest in developing knowledge of statistics, machine learning (probability, hypothesis testing, experimentation, regularization), and their practical applications in business/AI contexts.
• Experience supporting or learning about predictive model building and validation (e.g., feature engineering, model training, error analysis) using tools like scikit-learn or XGBoost/other ML libraries.
• Willingness to assist with experiments and contribute to evaluation (offline metrics, basic A/B testing, quality monitoring) under senior guidance.
• Awareness or interest in LLM evaluation strategies (including automated/human-in-the-loop, task quality, safety metrics).
• Some understanding or curiosity about RAG-focused data science, prompt optimization, and LLM troubleshooting.
• Desire to develop hands-on skills with prompt optimization, adaptation techniques (LoRA/QLoRA, DPO/IPO), data labeling, and evaluation approaches.
• Familiarity with basic system performance considerations for LLMs (token optimization, latency, model routing) is a plus.
• Openness to learning about interpretability and debugging practices for GenAI/AI systems.
• Bachelor level degree or equivalent in Computer Science, or related field of study.

What you’ll do

• Assist with designing and optimizing prompts for LLMs across relevant use cases.
• Help implement context management strategies (e.g., session memory, retrieval-augmented generation).
• Support integration and testing of LLMs within Python-based applications using APIs and standard data pipelines.
• Participate in building, testing, and maintaining conversational and agent workflows (e.g., with LangGraph).
• Help maintain backend services, APIs, and data pipelines to ensure reliability and performance.
• Work with product, data science, and engineering teams to gather requirements, test ideas, and iterate on solutions as part of a broader team.
• Contribute to quality assurance efforts: testing, basic monitoring, and evaluation of prompt and workflow effectiveness.
• Apply best practices in code quality, secure/ethical software development, and documentation by learning from peers and seeking feedback.
• Support the implementation of data models and data pipelines, helping ensure data quality and integrity following established procedures.
• Participate in technology evaluations and implementations for scalable and cost-effective solutions under senior supervision.

About the position

At AT&T we’re redefining the future of communication by connecting people to greater possibility - with expertise, simplicity, and inspiration. At the heart of our purpose lies a diverse workforce of 140,000 people and a culture that aspires to serve customers first, act boldly, move faster, and win as one. Our Product Development group, part of AT&T’s Technology Services (ATS) organization, is responsible for building software-based products, services, and platforms that our customers love and need. Harnessing technology and rebuilding software expertise, the team is inspiring simplicity with projects that deliver revenue and cost savings opportunities. AT&T is building a new era of intelligent automation.

Benefits

• A career with us, a global leader in communications and technology, comes with big rewards.
• We offer a competitive salary plus an annual company performance bonus.
• Once you’re a part of the team, you’ll gain some amazing perks and benefits including wellness & leisure time contribution, sickness compensation plan, premium medical services, family friendly benefits as well as meal contribution and extra days of vacation (…and much more).