Senior AI Engineer

Recutify Inc.

San Jose, CA, United States

3 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Compensation

$90,000.0 - $130,000.0

Working hours

Regular working hours

Job source

indeed.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Data Architecture Information Engineering Data Governance Distributed Computing Environment Distributed Systems Amazon DynamoDB Elasticsearch Graph Database

+17 more

Python (Programming Language) Machine Learning Modular Design Node.Js Redis Search Technologies Software Engineering Amazon ElastiCache Large Language Models Multi-Agent Systems Prompt Engineering Apache Spark Spring-boot Backend Deployment Automation Docker Databricks

Requirements

Do you have experience in Spark?, Title: Senior AI Engineer Location: Irvine, CA (Onsite) Duration: Full Time Client: Financial Domain Video Interviews Job Description Must have Technical skills:

5+ years of experience in software engineering, data engineering, or AI/ML engineering
Strong proficiency in Python for AI/data workflows and automation
Hands-on experience building solutions in AWS cloud environments
Experience with:
Databricks (or similar) and Apache Spark for distributed data processing
OpenSearch / Elasticsearch (including vector search)
Graph databases (Neptune or similar)
DynamoDB and Redis/ElastiCache
Experience building backend services and APIs (e.g., Java/Spring Boot, Node.js)
Production experience with Docker and Kubernetes
Experience with CI/CD pipelines and deployment automation
Strong understanding of distributed systems, data architecture, and scalable design, * Experience with LLM/GenAI architectures (RAG, embeddings, prompt engineering)
Familiarity with LangGraph, AutoGen, CrewAI, or similar agent orchestration frameworks
Experience with LangChain or LlamaIndex
Experience implementing LLM evaluation and observability frameworks
Familiarity with AI security practices and threat models (prompt injection, guardrails)
Experience working in regulated environments with strong data governance and compliance requirements