Full-Stack Engineers

SIDRAM TECHNOLOGIES

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

7 days ago
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Job summary

SIDRAM TECHNOLOGIES is seeking experienced Full-Stack Engineers with strong agentic AI expertise to build, deploy, and scale AI-powered applications in a customer-facing environment.

Ideal candidates will have hands-on Google coding and production experience, strong full-stack capabilities, and excellent communication skills for collaboration across distributed teams in US and India.

Qualifications

  • Proven prior experience writing code at Google and delivering software into production at Google.
  • Strong full-stack experience with JavaScript and TypeScript.
  • Proficiency in at least one additional language: Python, C++, Java, or Go.
  • Hands-on experience building agentic AI systems and applied AI solutions.

Responsibilities

  • Design, develop, test, and deploy full‑stack applications with AI features.
  • Build and integrate AI agents and LLM-powered applications.
  • Develop frontend and backend services using JavaScript/TypeScript and another language.
  • Design APIs, service integrations, and scalable architectures.
  • Apply engineering best practices including reviews, testing, debugging, and performance optimization.
  • Troubleshoot complex issues to ensure reliability and scalability.
  • Collaborate with cross-functional teams and customer stakeholders to define requirements.
  • Communicate progress, risks, and decisions to stakeholders.
  • Coordinate across US and India teams to align time zones.

Skills

Full-stack engineering
JavaScript/TypeScript
Google production experience
Agentic AI

Job description

FULL-STACK ENGINEER | AGENTIC AI

Client: Google

Location: Bay Area, California, USA

Engagement Type: W2 Only

Work Authorization: US Citizens Only

Team Structure

US Pod: 4 positions based in the Bay Area, California, including 1 hands-on Technical Lead and 3 Full-Stack Engineers.

India Pod: 3 Full-Stack Engineers.

Additional Team Structure: The teams will support US-friendly and EU/APAC-friendly time zones, with 3 members in each pod and 1 hands-on lead based in the US pod.

Note: The staffing breakdown above reflects the information provided. Please confirm the final allocation of all 8 positions, as the stated pod structure accounts for 7 positions.

Role Overview

We are seeking experienced Full-Stack Engineers with strong expertise in agentic AI, applied AI, and production-grade software development. Candidates will work on building, deploying, and scaling AI-powered applications and agent-based solutions in a customer-facing environment.

Successful candidates must have prior hands-on Google coding and production experience, strong full-stack engineering capabilities, and excellent communication skills. They should be comfortable collaborating across geographically distributed teams, translating business requirements into technical solutions, and delivering reliable, scalable applications.

Key Responsibilities
  • Design, develop, test, and deploy full-stack applications incorporating AI-powered features and agentic workflows.
  • Build and integrate AI agents, LLM-powered applications, and applied AI solutions for real-world use cases.
  • Develop robust frontend and backend services using JavaScript/TypeScript and at least one additional language, such as Python, C++, Java, or Go.
  • Design and implement APIs, service integrations, and scalable application architectures.
  • Apply software engineering best practices, including code reviews, automated testing, debugging, performance optimization, and production support.
  • Troubleshoot complex technical issues and ensure application reliability, scalability, and maintainability.
  • Collaborate with cross-functional teams and customer stakeholders to define requirements and deliver solutions.
  • Communicate technical concepts clearly and provide regular updates on progress, risks, and implementation decisions.
  • Support coordination across US and India teams to enable effective collaboration across time zones.
Additional Responsibilities Hands-On Technical Lead (US Pod)
  • The Technical Lead will be responsible for:
  • Leading technical design and implementation while remaining actively involved in coding.
  • Establishing engineering standards and guiding architecture and implementation decisions.
  • Mentoring engineers, conducting code reviews, and ensuring high-quality deliverables.
  • Coordinating technical execution across distributed teams.
  • Working directly with customer stakeholders to resolve technical challenges and align deliverables with business objectives.
Required Qualifications
  • Proven prior experience writing code at Google and delivering software into production at Google.
  • Strong Full-stack Software Engineering Experience, Including JavaScript And TypeScript.
  • Proficiency in at least one additional programming language: Python, C++, Java, or Go.
  • Demonstrated hands-on experience building agentic AI systems and applied AI solu
Work Authorization & Submission Requirements
  • W2 Only
  • US Citizens Only
  • Bay Area, California location for the US Pod.
  • Candidates must demonstrate the required prior Google coding and production experience.
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