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Staff Engineer – AI Platform & Engineering Strategy | Jobs in US

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  • July 16 2026
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Company Overview

We are a leading talent acquisition and staff augmentation company with a strong global presence, connecting businesses with top technology professionals across diverse industries. Headquartered in Delhi, India, we specialize in IT recruitment, executive search, workforce solutions, and project-based hiring for client USA. We are currently hiring on behalf of one of our international clients for a Staff Engineer who will play a key role in driving engineering excellence, platform innovation, and AI-powered software development.

Job Summary

We are seeking an experienced Staff Engineer to lead engineering strategy, platform modernization, AI-driven software development, and technical execution. This leadership role partners closely with Product, Executive Leadership, and Engineering teams to build scalable, AI-powered systems while establishing enginefullering best practices, security standards, and long-term technical vision.

Key Responsibilities

  • Lead engineering strategy and technical roadmap execution.
  • Drive platform modernization and large-scale system migration.
  • Build scalable, secure, and highly available software architecture.
  • Implement AI-powered development workflows across the SDLC.
  • Design and maintain CI/CD pipelines, monitoring, and deployment processes.
  • Lead data migration, architecture redesign, and platform integrations.
  • Establish engineering standards, code quality, testing, and documentation.
  • Own privacy, security, governance, and compliance initiatives.
  • Collaborate with Product Leadership to transform business goals into engineering deliverables.
  • Mentor engineers and foster a high-performance engineering culture.
  • Manage engineering vendors, contractors, and internal development teams.
  • Ensure AI-powered products meet safety, privacy, and quality standards.

Required Skills

  • Full Stack Development
  • Backend Development
  • AI Engineering
  • Large Language Models (LLMs)
  • Airtable
  • System Architecture
  • Cloud Infrastructure
  • CI/CD
  • Software Design
  • API Development
  • Database Design
  • DevOps Practices
  • Security Best Practices
  • Technical Leadership
  • Agile Methodologies

AI Experience

  • Experience working with Machine Learning systems and AI-powered applications.
  • Hands-on experience building AI-first production systems.
  • Experience implementing AI-assisted software development workflows.
  • Knowledge of Generative AI development tools.
  • Experience integrating AI into engineering processes.
  • Familiarity with AI evaluation, monitoring, and testing.
  • Understanding of AI governance, safety, and privacy.

Managerial Experience

  • Lead and mentor engineering teams.
  • Manage full-time engineers, contractors, and vendors.
  • Define engineering processes and delivery standards.
  • Collaborate with executive leadership on technical strategy.
  • Drive cross-functional execution across Product, Engineering, and Operations.
  • Build a culture of accountability, ownership, and innovation.

Operational Experience

  • Platform modernization and migration.
  • Engineering operations and release management.
  • Monitoring, logging, and incident response.
  • Security implementation and governance.
  • Performance optimization.
  • Infrastructure scalability.
  • Data governance and lifecycle management.
  • Risk management and engineering reporting.
  • National-scale application architecture.

Education & Certifications

  • Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related discipline.
  • 5–7 years of software engineering experience.
  • Experience leading engineering strategy and platform development.
  • Proven experience delivering AI-enabled software products.
  • Startup or high-growth technology experience preferred.
  • EdTech experience is an added advantage.
  • AWS Certified Solutions Architect
  • Google Professional Cloud Architect
  • Microsoft Azure Solutions Architect
  • Certified Kubernetes Administrator (CKA)
  • AI/ML or Cloud Engineering Certifications (Preferred)

Submit Resume at dp@digitalxnode.com

Explore More Job Opportunities at www.digitalxnode.com/job-openings

Technology: Devops Full Stack REST APIs Database Security CI/CD pipelines Backend
Job Type: Full Time
Job Location: USA California Los Angeles
Work Mode: Hybrid / Remote Preferred
Experience: 5 to 7 Years
Salary: As per company policy
Posting Date: 16th July 2026
Expiry Date: 15th Aug 2026

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