AI Engineer (DFW Area)
$107,200–$107,200 year
HybridRichardson, Texas, United States
Job Summary
Design and scale advanced AI applications in PropTech by evaluating LLMs and multimodal models for conversational assistants, summarization, and generative analytics. Architect agentic workflows using LangChain or Google ADK, optimize prompts for reliability, and implement RAG pipelines with vector databases and reranking. Build full-stack front-end experiences and back-end services to orchestrate AI calls, ensuring scalability and observability. Design evaluation pipelines and benchmarks to monitor offline metrics and human-in-the-loop quality, while collaborating with cross-functional teams to define requirements and success metrics. Work in an Agile environment, owning features from design through deployment and maintenance. Come into the office 2-3 days a week.
Required Qualifications
- 5+ years of total experience in Software Engineering and/or Data Science
- at least 2 years focused on Generative AI/LLMs
- Degree in Computer Science, Machine Learning, Data Science, or related field
- equivalent practical experience
- Strong proficiency in Python for AI/ML, data pipelines, and back-end services
- JavaScript/TypeScript for front-end and/or Node services
- SQL and experience working with relational databases and basic data modeling
- Working with coding assistants like Windsurf, Cursor, Codex, etc.
- Proven experience building production-grade software
- Writing clean, testable, maintainable code
- Using CI/CD pipelines, code reviews, and Git workflows
- Hands-on experience with at least one agentic/orchestration framework (OpenAI Agents SDK, Google ADK, LangChain, etc.)
- LLM APIs and/or open-source models (e.g., via OpenAI, Google, Hugging Face, Ollama)
- Vector embeddings, vector databases, and RAG architectures
- Experience with one or more major cloud platforms (GCP, Azure, and AWS)
- Docker for containerization
- Kubernetes or a managed container service (e.g., EKS, GKE, AKS)
- Strong communication skills and ability to collaborate with both technical and non-technical stakeholders
- In this role you would be expected to come into the office 2-3 days a week
Desired Qualifications
- Experience with Voice-enabled AI agents (STT, TTS, WebRTC, Twilio Voice, Socket.IO, VAPI)
- Multimodal models (e.g., GPT models including Realtime, Gemini Pro Vision, etc.)
- Orchestrating multiple models (routing, ensembles, fallback strategies)
- Familiarity with AI experiment tracking and evaluation frameworks (e.g., OpenAI Evals, Langsmith Evals, etc.)
- Feature stores, data versioning (e.g., Feast, DVC), and MLOps workflows
- Browser automation software such as PlayWright
- Background in AI security, privacy, and compliance (PII handling, SOC2, GDPR considerations)
- A/B testing and online experimentation for AI features
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