Lead AI Engineer

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 a Lead AI Engineer who is a senior technical leader responsible for driving the strategy, architecture, and delivery of Agentic and Generative AI solutions across our PropTech portfolio. You will define and implement the technical roadmap for AI systems, mentor the AI engineering team, and collaborate with executives and product leaders to identify high-impact AI opportunities. 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 View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

○ Typically 8+ years of experience in Software Engineering, ML Engineering, or Data Science, with 3+ years hands-on in Applied AI/LLMs and at least 2+ years in a senior/lead role.

○ Deep expertise in:

• Python and TypeScript/JavaScript in production environments

• Designing and operating distributed, cloud-native systems (GCP, Azure, or AWS)

• Containerization and orchestration (Docker, Kubernetes) and modern CI/CD.

○ Working with coding assistants like Windsurf, Cursor, Codex, etc.

○ Proven track record of:

• Architecting and shipping complex AI systems to production at scale

• Leading multi-engineer initiatives and mentoring others

• Making data-driven tradeoffs between speed, quality, and cost.

○ Advanced experience with:

• LLM-based application design (prompting, tool use, function calling, multi-agent workflows)

• RAG architectures, vector databases, and retrieval optimization techniques

• AI observability, monitoring, and evaluation frameworks.

○ Excellent communication and stakeholder management skills:

• Ability to communicate complex AI concepts to executives and non-technical partners

• Comfortable representing AI strategy and progress to leadership and cross-functional teams. ○ Experience with:

• Working with coding assistants like Windsurf, Cursor, Codex, etc.

• Multimodal and real-time agents (voice + text + UI control, streaming interactions).

○ Background in:

• AI experiment tracking and evaluation frameworks (e.g., OpenAI Evals, Langsmith Evals, etc.)

• Data platforms (data lakes/warehouses, feature stores, event streams like Kafka)

• Browser automation software such as PlayWright

• Designing AI products in domains with strong regulatory or privacy constraints.

○ Experience building organizational AI strategies, setting standards, and helping define AI hiring and capability roadmaps.