Sr. Full Stack Engineer - LLM Search Engineer

ITAC Solutions -
Birmingham, AL

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Job Details

$130,000 a year
3 days ago

Benefits

Paid holidays
Health insurance
401(k)
Tuition reimbursement

Qualifications

Containerization systems
Continuous Delivery (CD) implementation
Infrastructure as Code (IaC)
Application Architecture Design (Architecture design skill)
JavaScript frameworks
Microservices
Cloud Native Design
Developing and maintaining backend systems
Cloud automation
DevOps automation
Python

Full Job Description

Help shape the future of AI-powered product search for millions of users. Our client is seeking a Senior Full Stack Engineer to build intelligent search experiences, combining modern backend engineering, cloud-native architecture, and responsive frontend development to solve complex, high-impact problems.

C2C is not an option with this job opening and all applicants should be able work for any US Employer without sponsorship. Sponsorship is not provided and this person will not need to require sponsorship in the future.

Benefits & Extras

Build cutting-edge AI and ML-powered search solutions
Work with modern GCP, Python, React, and cloud technologies
Collaborative engineering culture with strong architectural ownership
Comprehensive healthcare, 401(k), tuition reimbursement, vacation, sick leave, and holiday pay

Compensation

130,000

What You'll Be Doing

Build scalable Python services, APIs, and AI-powered search pipelines
Develop React-based user interfaces and reusable components
Design cloud-native solutions using GCP and Kubernetes
Enhance Elasticsearch and vector search capabilities
Implement CI/CD, observability, and infrastructure automation
Partner with architects and ML engineers on technical solutions
Mentor developers and participate in design and code reviews

What You'll Need to be Considered

6+ years of backend or full stack engineering experience
Strong Python and React/modern frontend framework expertise
Experience building cloud-native applications on GCP, AWS, or Azure. GCP highly preferred.
Expertise with Kubernetes, Docker, and microservices architecture
Experience with search platforms, vector databases, or AI/LLM technologies (Elasticsearch, OpenSearch, Solr, Algolia, Etc.)
Knowledge of infrastructure-as-code and mature CI/CD practices
Experience working with monorepo environments

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