Senior AI Engineer

We are hiring for great (Senior) AI Engineer who are open to learning the tools we use and building the AI Platform at First American.

What we are looking for Requirements are :

Candidate must have in-depth experience with at least one major cloud provider (AWS, GCP, Azure). AWS experience is optimal.

Experience with Real-World Application of AI such as document parsing (LLMs are optimal), recommendation engines, image classifications.

Worked with AI toolsets such as SageMaker, Vertex, Foundry or DataBricks.

Developed model deployment, experimentation and evaluation pipelines.

Experience presenting AI findings and use cases to leadership and non-technical audiences.

Nice-to-haves are :

Experience with Agentic AI tooling such as : LanGraph, Bedrock Agents, Swarm, CrewAI.

Experience working with Analytics and Big Data teams, including tools such as : Hadoop and Spark.

Experience fine tuning an LLM, developing a RAG system, and prompt chaining. 4. Experience in building a Human in the Loop machine learning system.

Competencies -

Mindset & Behavioral Traits

Bias Towards Action

Follows the MVP concept of ship and iterate.

Perseverance & Grit

Scrappy; finishes tasks despite setbacks.

Communication & Collaboration

Communicates effectively, collaborates well, shows empathy, raises hand when stuck, and is patient / polite with non-developers.

Self-Learning & Flexibility

Learns new concepts independently; married to the goal, not the process.

Coachability

Accepts feedback and incorporates it for improvement.

Technical Skills

Cloud Platform & SDLC Automation Engineering

Strong understanding of infrastructure technologies and software delivery automation platforms (e.g., Kubernetes, GitLab, GitHub).

Familiarity with distributed systems design and integration patterns.

Problem Decomposition

Prioritizes simplicity over complexity; explains trade-offs clearly.

Systems Design

Designs maintainable, observable, and fault-tolerant systems.