AI Engineer (DFW Area)

9 months ago

Richardson, TX, USASenior

Base Salary

$107k - $183k/yr

Responsibilities

Design and build conversational assistants, task-based copilots, AI agents, summarization systems, content-generation features, document-understanding solutions, and generative analytics.
Evaluate and integrate LLMs and multimodal models from providers such as OpenAI, Google, and Anthropic.
Implement agentic workflows using tool calling, multi-step reasoning, and multi-agent orchestration frameworks.
Develop prompts, structured JSON outputs, function calling, system instructions, and safety or guardrail layers.
Architect and implement RAG pipelines, ingestion pipelines, vector-database integrations, retrieval systems, reranking, semantic caching, knowledge graphs, long-context models, and memory systems.
Build or integrate front-end experiences and back-end services for AI agents and copilots using web frameworks, APIs, and communication protocols.
Integrate AI applications with internal systems and PropTech data sources through secure APIs and data contracts.
Design evaluation pipelines, benchmarks, monitoring, tracing, and human-in-the-loop evaluations for LLM-based features.
Optimize model selection, routing, prompts, token usage, caching, performance, reliability, latency, and cost.
Collaborate with product, design, data science, platform engineering, and domain experts; participate in architecture reviews and document technical processes.
Contribute to shared AI libraries, templates, best practices, runbooks, and features throughout their full lifecycle.

5+ years of total experience in software engineering and/or data science, including at least 2 years focused on generative AI or LLMs.
Bachelor’s degree in computer science, machine learning, data science, or a related field, or equivalent practical experience.
Strong Python proficiency for AI/ML, data pipelines, and back-end services.
Strong JavaScript/TypeScript proficiency for front-end and/or Node services.
SQL proficiency and experience with relational databases and basic data modeling.
Experience using coding assistants such as Windsurf, Cursor, or Codex.
Production-grade software development experience, including clean and maintainable code, testing, CI/CD pipelines, code reviews, and Git workflows.
Hands-on experience with an agentic or orchestration framework such as OpenAI Agents SDK, Google ADK, or LangChain.
Experience with LLM APIs and/or open-source models, vector embeddings, vector databases, and RAG architectures.
Experience with at least one major cloud platform: GCP, Azure, or AWS.
Experience with Docker and Kubernetes or a managed container service such as EKS, GKE, or AKS.
Strong communication and collaboration skills with technical and non-technical stakeholders.
Preferred experience with voice-enabled AI agents, multimodal models, multi-model orchestration, AI evaluation frameworks, feature stores, data versioning, MLOps, browser automation, AI security, privacy, compliance, and A/B testing.

Health, dental, and vision insurance.
Retirement savings plan with company match.
Paid time off and holidays.
Professional development opportunities.
Performance-based bonus eligibility depending on the position and applicable plan.
Hybrid work arrangement requiring attendance in the office 2–3 days per week.

5,001-10,000 employees