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. We are looking for a Senior AI Engineer who combines strong, hands-on technical expertise with strong experience in designing and building enterprise AI systems. The ideal candidate will have strong AI engineering expertise to design, develop, implement, and integrate production-ready intelligent systems.

Main requirements:

Strong expertise in full-stack Python, agentic frameworks (e.g., LangGraph, LangSmith), Model Context Protocol (MCP), prompt engineering, context engineering, harness engineering, Retrieval-Augmented Generation (RAG), large language models (LLMs), fine-tuning, and machine learning.

Big plus: Strong knowledge of modern data stack technologies (e.g., Databricks, Snowflake) for pipeline integration and scalable deployment.

As a Senior AI Engineer, you will design, develop, and deploy context-driven, production-ready AI solutions that transform how entire organizations work and deliver value. You’ll leverage the power of LLMs and next-gen AI agents to automate complex workflows, unleashing revolutionary productivity and efficiency. Your work will directly contribute to the adoption of autonomous AI agents, enabling smarter operations and seamless data pipelines.

Core Responsibilities:

• Understand and analyze technical requirements and translate them into implementation tasks for agentic AI solutions.

• Develop and integrate scalable agentic AI solutions, including the backend infrastructure required for seamless end-to-end deployment.

• Implement testing, monitoring, and evaluation pipelines to continuously improve prompt effectiveness, context handling, and overall agent performance.

• Participate in code reviews, contribute to best practices, and mentor medior engineers on AI automation technologies and frameworks.

Technical Skills:

• Strong experience with full-stack Python development (FastAPI, Flask; SQL/NoSQL databases).

• Strong proficiency with agentic frameworks such as LangGraph and LangSmith, including prompt engineering, context engineering, harness engineering, MCP, RAG, large language models (LLMs), fine-tuning, and machine learning.

• Strong experience integrating AI agent solutions into production systems.

• Strong experience with cloud infrastructure, containerization (Docker), and CI/CD practices.

• Strong experience with AI-powered IDEs and tools such as Visual Studio, GitHub Copilot, Windsurf, Cursor, etc.

• Strong analytical, problem-solving, and communication skills.

Years of experience:

3+ years of software engineering or data science experience, with at least 1+ year of hands-on experience designing, building, and deploying agentic AI solutions in production.
 

As a Big Plus – Strong Data Science + LLM/GenAI Data Science Experience:

• Foundations in statistics and machine learning (probability, hypothesis testing, experimental design, bias/variance, regularization) and ability to translate ambiguous problems into measurable ML objectives.

• Experience building and validating predictive models end-to-end (feature engineering, training, cross-validation, model selection, error analysis) using tools like scikit-learn and XGBoost/LightGBM/CatBoost.

• Experience designing rigorous evaluation strategies: offline metrics, online experimentation (A/B tests), guardrails, and monitoring for drift/quality regressions.

• LLM evaluation experience: building automated and human-in-the-loop evals for generation quality (task success, relevance, factuality/faithfulness, toxicity/safety), and using frameworks/patterns like LLM-as-a-judge with calibration and consistency checks.

• RAG-focused data science: measuring retrieval quality (recall@k, MRR, nDCG), diagnosing chunking/embedding tradeoffs, query rewriting, reranking, and grounding/attribution quality.

• Prompt and context optimization using experimental design: prompt A/B testing, prompt regression testing, sensitivity analysis, and systematic prompt/version management.

• Fine-tuning and adaptation experience (as a plus): LoRA/QLoRA, DPO/IPO-style preference optimization, dataset creation/curation, labeling guidelines, and contamination/leakage checks.

• Familiarity with LLM systems performance and cost analytics: token/call optimization, caching strategies, latency/throughput benchmarking, and model routing across providers/sizes.

• Experience with interpretability and debugging for GenAI systems (error taxonomy, hallucination analysis, attribution, and root-cause analysis across retrieval/model/prompt layers).

Additional Plus – Strong Experience with Data Engineering Stack (Snowflake, Databricks).

Education: 

Bachelor level degree or equivalent in Computer Science, or related field of study. 

Compensation:

Salary range for Slovakia is between 3 841EUR - 5 766EUR gross per month.

Salary range for Czech Republic is between 113 308CZK - 169 958CZK gross per month.

The individual starting salary within this range will depend on relevant factors such as the candidate’s experience, expertise, skills, and education or training.

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). 

Location: 

This is a hybrid-flex worker position where our preference is for you to be present with your team in the office at least 2 days per week.   

Ready to find out more? Apply today!   

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It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.