AT&T
Senior Prompt-Context Engineer at AT&T
Job Description Requires office presence a minimum of 5 days per week. Location(s) posted only, no relocation offered.
What You'll Do We are looking for a highly skilled Senior Software Engineer (LLM/Prompt-Context Engineer) with a strong full stack Python background to design, develop, and integrate intelligent systems focused on large language models (LLMs), prompt engineering, and advanced context management. In this role, you will play a critical part in architecting context-rich AI solutions, crafting effective prompts, and ensuring seamless agent interactions using frameworks like LangGraph.
What You'll Bring
Prompt & Context Engineering: Design, optimize, and evaluate prompts for LLMs to achieve precise, reliable, and contextually relevant outputs across a variety of use cases.
Context Management: Architect and implement dynamic context management strategies, including session memory, retrieval-augmented generation, and user personalization, to enhance agent performance.
LLM Integration: Integrate, fine‑tune, and orchestrate LLMs within Python‑based applications, leveraging APIs and custom pipelines for scalable deployment.
LangGraph & Agent Flows: Build and manage complex conversational and agent workflows using the LangGraph framework to support multi‑agent or multi‑step solutions.
Full stack Development: Develop robust backend services, APIs, and (optionally) front‑end interfaces to enable end‑to‑end AI‑powered applications.
Collaboration: Work closely with product, data science, and engineering teams to define requirements, run prompt experiments, and iterate quickly on solutions.
Evaluation & Optimization: Implement testing, monitoring, and evaluation pipelines to continuously improve prompt effectiveness and context handling.
What You'll Need
Deep experience with full‑stack Python development (FastAPI, Flask, Django; SQL/NoSQL databases).
Demonstrated expertise in prompt engineering for LLMs (e.g., OpenAI, Anthropic, open‑source LLMs).
Strong understanding of context engineering, including session management, vector search, and knowledge retrieval strategies.
Hands‑on experience integrating AI agents and LLMs into production systems.
Proficient with conversational flow frameworks such as LangGraph.
Familiarity with cloud infrastructure, containerization (Docker), and CI/CD practices.
Solid understanding of PostgreSQL or other relational databases, including fundamentals of database design and querying.
Exceptional analytical, problem‑solving, and communication skills.
Preferred
Experience evaluating and fine‑tuning LLMs or working with RAG architectures.
Background in information retrieval, search, or knowledge management systems.
Contributions to open‑source LLM, agent, or prompt engineering projects.
Salary Range $116,700.00 – $196,100.00 USD per year.
Benefits
Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays (at least 23 days of vacation each year and 9 company‑designated holidays)
Paid Parental Leave
Paid Caregiver Leave
Additional sick leave beyond what state and local law require may be available but is unprotected
Adoption Reimbursement
Disability Benefits (short term and long term)
Life and Accidental Death Insurance
Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
Employee Assistance Programs (EAP)
Extensive employee wellness programs
Employee discounts up to 50% off on eligible AT&T mobility plans and accessories
AT&T internet (and fiber where available) and AT&T phone
Working Details Weekly Hours: 40 Time Type: Regular Location: USA: GA: Alpharetta – 500 North Point Pkwy
Ready to join our team? Apply today.
Equal Employment Opportunity statement: 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.
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Job Description Requires office presence a minimum of 5 days per week. Location(s) posted only, no relocation offered.
What You'll Do We are looking for a highly skilled Senior Software Engineer (LLM/Prompt-Context Engineer) with a strong full stack Python background to design, develop, and integrate intelligent systems focused on large language models (LLMs), prompt engineering, and advanced context management. In this role, you will play a critical part in architecting context-rich AI solutions, crafting effective prompts, and ensuring seamless agent interactions using frameworks like LangGraph.
What You'll Bring
Prompt & Context Engineering: Design, optimize, and evaluate prompts for LLMs to achieve precise, reliable, and contextually relevant outputs across a variety of use cases.
Context Management: Architect and implement dynamic context management strategies, including session memory, retrieval-augmented generation, and user personalization, to enhance agent performance.
LLM Integration: Integrate, fine‑tune, and orchestrate LLMs within Python‑based applications, leveraging APIs and custom pipelines for scalable deployment.
LangGraph & Agent Flows: Build and manage complex conversational and agent workflows using the LangGraph framework to support multi‑agent or multi‑step solutions.
Full stack Development: Develop robust backend services, APIs, and (optionally) front‑end interfaces to enable end‑to‑end AI‑powered applications.
Collaboration: Work closely with product, data science, and engineering teams to define requirements, run prompt experiments, and iterate quickly on solutions.
Evaluation & Optimization: Implement testing, monitoring, and evaluation pipelines to continuously improve prompt effectiveness and context handling.
What You'll Need
Deep experience with full‑stack Python development (FastAPI, Flask, Django; SQL/NoSQL databases).
Demonstrated expertise in prompt engineering for LLMs (e.g., OpenAI, Anthropic, open‑source LLMs).
Strong understanding of context engineering, including session management, vector search, and knowledge retrieval strategies.
Hands‑on experience integrating AI agents and LLMs into production systems.
Proficient with conversational flow frameworks such as LangGraph.
Familiarity with cloud infrastructure, containerization (Docker), and CI/CD practices.
Solid understanding of PostgreSQL or other relational databases, including fundamentals of database design and querying.
Exceptional analytical, problem‑solving, and communication skills.
Preferred
Experience evaluating and fine‑tuning LLMs or working with RAG architectures.
Background in information retrieval, search, or knowledge management systems.
Contributions to open‑source LLM, agent, or prompt engineering projects.
Salary Range $116,700.00 – $196,100.00 USD per year.
Benefits
Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays (at least 23 days of vacation each year and 9 company‑designated holidays)
Paid Parental Leave
Paid Caregiver Leave
Additional sick leave beyond what state and local law require may be available but is unprotected
Adoption Reimbursement
Disability Benefits (short term and long term)
Life and Accidental Death Insurance
Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
Employee Assistance Programs (EAP)
Extensive employee wellness programs
Employee discounts up to 50% off on eligible AT&T mobility plans and accessories
AT&T internet (and fiber where available) and AT&T phone
Working Details Weekly Hours: 40 Time Type: Regular Location: USA: GA: Alpharetta – 500 North Point Pkwy
Ready to join our team? Apply today.
Equal Employment Opportunity statement: 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.
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