Manufacturing Engineer working with engineering and production to enhance manufacturing methods for STULZ Air Technology Systems. Focusing on process optimization, training, and design layouts.
About the role
- Senior Software Engineer designing context-rich AI solutions at AT&T. Focused on integrating large language models and prompt engineering.
Responsibilities
- 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.
- Play a critical part in architecting context-rich AI solutions, crafting effective prompts, and ensuring seamless agent interactions using frameworks like LangGraph.
- Design, optimize, and evaluate prompts for LLMs to achieve precise, reliable, and contextually relevant outputs across a variety of use cases.
- Architect and implement dynamic context management strategies, including session memory, retrieval-augmented generation, and user personalization, to enhance agent performance.
- Integrate, fine-tune, and orchestrate LLMs within Python-based applications, leveraging APIs and custom pipelines for scalable deployment.
- Build and manage complex conversational and agent workflows using the LangGraph framework to support multi-agent or multi-step solutions.
- Develop robust backend services, APIs, and (optionally) front-end interfaces to enable end-to-end AI-powered applications.
- Work closely with product, data science, and engineering teams to define requirements, run prompt experiments, and iterate quickly on solutions.
- Implement testing, monitoring, and evaluation pipelines to continuously improve prompt effectiveness and context handling.
Requirements
- Deep experience with fullstack 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.
Benefits
- Medical/Dental/Vision coverage
- 401(k) plan
- Tuition reimbursement program
- Paid Time Off and Holidays (based on date of hire, 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.
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