AI Engineer

Insight Global • Richardson, TX • 3h ago

Job Description

Insight Global is hiring an AI engineer for one of our DFW based property technology clients. This client is at the forefront of the Generative AI revolution, dedicated to shaping the future of artificial intelligence within the Property Tech domain. Their Agentic AI team is focused on driving innovation by building next generation AI applications and enhancing existing systems with Generative AI capabilities. We are seeking an AI Engineer to help us with the development, deployment, and scaling of advanced AI applications that address real-world challenges. In this role, you will focus on designing, building, and scaling advanced AI applications in the PropTech space. You will work with state-of-the-art foundation models, RAG architectures, and multi-agent systems while partnering closely with product, design, and engineering teams. You will be responsible for taking AI concepts from ideation to production, owning end-to-end solutions that improve our products and transform user experiences. This is a hybrid role requiring 2-3 days in office at our client's Richardson, TX location.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

? 5+ years of total experience in Software Engineering and/or Data Science, with at least 2 years focused on Generative AI/LLMs.

? Degree in Computer Science, Machine Learning, Data Science, or related field, or 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) and:

? 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. ? 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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