Senior AI Engineer

First American (India)

0 years

0 Lacs

india

Posted:1 day ago| Platform:

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Skills Required

ai learning aws gcp azure parsing sagemaker vertex model deployment experimentation evaluation leadership tooling analytics data hadoop tuning communication empathy automation software kubernetes gitlab design integration

Work Mode

On-site

Job Type

Full Time

Job Description

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.

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