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AI Full Stack Software Engineer

Job in Los Angeles, Los Angeles County, California, 90001, USA
Listing for: Zensar Technologies
Full Time position
Listed on 2026-10-29
Job specializations:
  • Software Development
    Full Stack Developer, Software Engineer, AI Engineer (Applied/Software), Backend Developer
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Zensar is a leading digital solutions and technology services company partnering with global organizations on their digital transformation journey. A technology partner of choice, with strong track-record of innovation, credible investment in digital solutions and assertion of commitment to client’s success, Zensar’s comprehensive range of services and solutions enable clients achieve new thresholds of performance. Part of the $40 billion APAX Partners’ portfolio of companies, Zensar is uniquely positioned to help existing businesses run efficiently, manage legacy transformation and plan business growth through innovative digital platform.

Working at Zensar

Working at Zensar is an enriching experience. While work is driven by innovation and passion, fun is taken seriously too. An open environment is encouraged making it easy to brainstorm with colleagues. Creative thinking is encouraged through time out activities. Moreover, the offices have been designed to foster creativity and communication, bringing a little bit of home into work every day.

Zensar provides and a comprehensive benefit package for all fulltime employees.

Zensar is seeking an AI Full Stack Software Engineer with strong expertise in compliance experience ,Spec-Driven Development (SDD), Context Engineering, harness Engineering and articulate it properly

This is a remote role in the USA and open for Full time with excellent benefits and Contract Role as well with outstanding growth opportunities.

Job Description:

We are looking for a full-stack, AI-native software engineer to build capabilities that will help secure the products of today and the AI-built, agent-operated systems of tomorrow. Your technical leadership will be vital in solving some key challenges ahead of us, whether it's architecting an always-on API platform that scales to our enterprise, modernizing legacy applications and monolithic architectures that predate how fast code and risk move today, or prototyping how security keeps pace as AI reshapes the way software gets built.

Resource You will collaborate with leadership and engineers equally to put in place an execution plan, using agile methodologies, to develop/test/deploy/support industry-leading services for our customers.

Who You Are
  • You've made the shift from being an experienced, effective software engineer to being an AI-native one:
  • You have proven experience serving as a software engineer for development of web application projects for enterprises supporting 10K+ customers.
  • You treat performance as a design constraint, not a tuning pass after the fact.
  • You know when to build and when to buy — you can justify choosing a custom-built solution over an off-the-shelf or cloud-native service.
  • You possess a deep understanding of API and service design, including RESTful and event-driven patterns, designed with the caller in mind — a frontend, another service, or an AI agent invoking your API as a tool.
  • You are decisive without being divisive — you can analytically and logically pick from solutions and drive forward.
  • You have proven ability to balance multiple priorities and participate in decision-making that spans organizational boundaries.
  • You have excellent communication and organization skills.
  • AI-assisted development is your default way of working, not an occasional convenience — you use agentic coding tools as a core part of how you plan, build, and test software.
  • You can read AI-generated code critically and catch what it gets wrong — a subtle bug, a security gap, a design choice that won't hold up at scale.
  • You think in systems: given an ambiguous problem, you can break it down, weigh real trade-offs, and reason about where a design will break under load or misuse.
  • You use spec-driven development with AI…
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