Role: Senior AI/ML Engineer
Location: Plano, TX (Onsite - Hybrid)
Duration: Longterm
12+ years experience building production-grade systems with end-to-end ownership.
• Expertise in Python programming, software engineering best practices, testing strategies, CI/CD, and system design.
• Hands-on experience shipping LLM-powered features such as autonomous workflows or function calling with measurable impact on reliability or latency.
• Deep knowledge of multi-agent architectures including planners, executors, and tool routing.
• Strong understanding of RAG systems: chunking, embeddings, vector/hybrid search, and retrieval policies.
• Experience evaluating LLMs and agent workflows incorporating statistical reasoning and validation.
• Proficiency with AWS (Lambda, ECS/EKS, S3, API Gateway, EC2, IAM) and Infrastructure-as-Code for cloud resource automation and deployment.
• Experience with observability tools (Datadog, logging, tracing, metrics).
• Familiarity with PostgreSQL, DBT, data modeling, schema evolution, and performance tuning.
• Knowledge of vector databases like Pinecone or pgvector.
• Experience building or optimizing CI/CD pipelines (GitHub Actions or similar).
• Proven track record in application modernization, dependency management, and technical debt reduction.
• Ability to rapidly prototype, validate, and transition solutions to production systems.
Preferred Skills:
• Experience designing agent infrastructure with sandboxing, tool isolation, and fail-safe execution.
• Background in large-scale platform engineering or developer experience tooling.
• Understanding of security, compliance, and privacy for enterprise AI systems.
• Strong architectural communication ability, including RFC writing and diagramming.
Attributes:
• Adaptable and proactive problem solver.
• Strong ownership mindset with excellent collaboration and communication skills.
• Comfortable in ambiguous, fast-paced R&D environments.
• Passionate about building high-leverage platform capabilities impacting hundreds of engineering teams.