Lead Software Engineer – Data Development for AI Applications
AT&T
AWSAzureBigQueryCloudDockerETLGoogle Cloud PlatformGrafanaGraphQLJavaScriptKafkaLinux+12 more
Principal Software Engineer – Applied AI Development
AT&T
full-time
Posted on:
Location Type: Office
Location: Dallas • Texas, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $158,200 - $237,400 per year
Job Level
Lead
Tech Stack
AWSAzureBigQueryCloudDockerGoogle Cloud PlatformGrafanaKubernetesLinuxMongoDBMySQLNode.jsNoSQLPostgresPythonReactSQLTableau
About the role
- Design, build, and maintain robust, scalable autonomous AI agents for conversational sales that can guide the user to conversational finish a sales including cart/checkout and payments.
- Identify and implement the best architectures to develop AI agents such that they are reusable.
- Implement MCP tools to enable bi-directional communication with other systems.
- Implement, refine, and optimize LLM prompts to avoid hallucination and to deliver expected outcomes.
- Apply security guardrails surrounding LLMs to protect sensitive data and ensure compliance with privacy and legal guidelines.
- Implement logging and monitoring for the agents.
- Design evaluation tests to validate the agents’ outcomes.
- Design and implement low-latency, minimal-hop, reusable agentic solutions.
- Explore optimal methods to improve conversational sales solutions by grounding responses and minimizing errors.
- Design and implement security guardrails while interacting with LLM’s or with other agents to follow industry standard security guidelines; including data governance frameworks and federated learning.
- Collaborate with product managers, UX designers, and other engineers to translate requirements into technical solutions.
- Continuously monitor, evaluate, and improve AI performance, focusing on user engagement, personalization, and task completion.
- Contribute to research and development efforts to stay ahead of emerging trends in agentic AI and conversational technologies.
- Always ensure compliance with ethical standards, data privacy, and responsible AI practices throughout the development process.
Requirements
- Over 10 years of professional experience in software development with strong understanding of software engineering principles, design patterns, and algorithms.
- Exceptional analytical and problem-solving skills, particularly in handling unstructured conversations and handle the conversations within the scope of the solutions.
- Proficiency in programming languages such as Python to develop agentic AI solutions.
- Proficiency in API design and implementation for secure services.
- Knowledge on application development using React, NodeJS.
- Proficiency in prompt engineering is desired, to design, iteratively refine, and optimize the prompts.
- Exposure to Tools or platforms that help version, test, and deploy prompt templates at scale.
- Proficiency in LLMs, token cost optimization, and hallucination avoidance principles.
- Hands-on experience in developing agentic workflows, semi-autonomous, or fully autonomous agents is preferred.
- Strong expertise in GCP/Azure is preferred (AWS is also good).
- Experience in LangGraph /LangChain /ADK /Autogen is highly desired.
- Experience in quality assurance of agentic AI solutions and prompts is highly sought.
- Strong expertise in productionizing solutions as APIs with RBAC controls is sought.
- Expertise in a range of database and data warehouse technologies such as SQL (MySQL, PostgreSQL), NoSQL databases (MongoDB, Azure Cosmos DB, Bigtable), and data warehouse/data lake technologies (Snowflake, BigQuery).
- Experience with AI monitoring tools and framework for AI models.
- Expertise in AI auditability and explainability: Understanding how to implement explainable AI (XAI) features and audit trails for autonomous agents.
- Expertise in VertexAI, BQML or equivalent is a bonus.
- Knowledge of RAG implementation.
- Familiarity with Linux and Docker is a nice-to-have.
- Experience with container orchestration and scaling: Kubernetes, Helm, or serverless architectures to scale agentic AI solutions.
- Experience with version control systems (e.g., Git) and collaborative development workflows.
- Experience with Power BI and other visualization tools such as Kibana, Grafana, or Tableau is a plus.
- Knowledge of cloud services (AWS, Google Cloud, or Azure) and understanding of distributed data processing frameworks.
- Proven ability to manage and delegate work across delivery teams to meet priorities.
- Skill in client engagements, deciphering client business needs, and providing data solution recommendations.
- Strong financial analysis skills to assess business impacts of statistical solutions.
- Excellent communication skills, with experience in designing, developing, and delivering presentations.
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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonAPI designReactNodeJSprompt engineeringLLMsGCPAzureSQLNoSQL
Soft skills
analytical skillsproblem-solving skillscollaborationcommunication skillsclient engagementdelegationfinancial analysisuser engagement focuspersonalizationtask completion