Multi-Agent Systems (MAS) and Autonomous AI Agents Drive New Engineering Skill Demands as Interview Kickstart Launches Agentic AI Program 2026

GlobeNewswire | Interview Kickstart
Today at 4:40pm UTC

SANTA CLARA, CA, Feb. 03, 2026 (GLOBE NEWSWIRE) --

As autonomous AI agents and multi-agent systems transition from experimental pilots into real production environments, software engineers are increasingly being asked to design, integrate, and maintain systems that operate with minimal human intervention. In response to this shift, Interview Kickstart has introduced Agentic AI for Software Engineers, a new training program designed to help engineers build practical expertise in agent-based AI systems now being deployed across modern software stacks.

The 15-week program is designed for working software engineers and focuses on how agentic AI is being applied inside real-world engineering teams. According to Interview Kickstart, the curriculum reflects how AI responsibilities are expanding beyond model consumption toward system ownership, where engineers are expected to orchestrate large language models, design autonomous workflows, and manage AI-driven decision systems at scale.

A spokesperson for Interview Kickstart said the program was developed to align with how AI roles are evolving across product and platform teams. "Engineering teams are no longer just integrating AI features," the spokesperson said. "They are increasingly responsible for systems where AI agents plan, reason, coordinate, and act across workflows. This program is built around those emerging expectations."

The curriculum covers foundational and applied concepts including autonomous AI agents, multi-agent system design, agentic AI strategies, retrieval-augmented generation (RAG), and large language model orchestration. Rather than treating these components as isolated tools, the program emphasizes how they interact within larger systems, where coordination, reliability, and system design become critical.

Instruction is delivered through a combination of live classes and hands-on project work. The program includes more than 60 hours of live instruction led by industry practitioners, along with over 30 hours of guided project sessions. Participants also attend focused deep-dive sessions that explore specific agentic patterns and implementation approaches currently used in production environments.

Project-based learning is a central element of the program. Participants complete three guided projects and select from a pool of ten capstone projects, allowing them to focus on applications aligned with their current roles or areas of interest. These projects are designed to mirror scenarios engineers may encounter when building agent-driven automation, AI-powered internal tools, or decision-support systems within enterprise environments.

Interview Kickstart reports that the instructors teaching the program are practitioners actively working with generative and agentic AI systems at FAANG and other Tier 1 technology companies. Their industry experience informs how the course approaches architectural trade-offs, system constraints, and operational considerations such as reliability, coordination, and maintainability when deploying agent-based AI.

In addition to technical instruction, the program includes interview preparation tailored to AI-enhanced engineering roles. This component is designed to help participants understand how agentic AI concepts increasingly appear in system design discussions, architecture reviews, and technical interviews as companies begin hiring specifically for these skill sets.

Interview Kickstart is widely known for its interview preparation programs for senior engineers and technical leaders pursuing roles at large technology companies. The launch of Agentic AI for Software Engineers represents a broader expansion into applied AI education, particularly at the intersection of traditional software engineering and autonomous AI systems.

As organizations continue to experiment with AI agents for workflow automation, decision support, and system orchestration, demand is expected to grow for engineers who understand how these systems are designed, evaluated, and maintained. Programs like this reflect how technical training is adapting to the next phase of AI-driven software development. To learn more visit: https://interviewkickstart.com/agentic-ai-courses

About Interview Kickstart

Founded in 2014, Interview Kickstart is a trusted upskilling platform designed to help tech professionals secure roles at FAANG and other leading technology companies. The platform has supported more than 20,000 learners across domains including software engineering, artificial intelligence, machine learning, cloud architecture, and system design.

https://youtu.be/k6ipP8zNAso?si=G8-E86GDfQfABDk7

Interview Kickstart works with a network of more than 700 instructors, including hiring managers and senior engineers from FAANG companies. Programs combine live instruction, hands-on projects, mock interviews, and individualized mentorship to support professionals preparing for technical interviews and long-term career advancement.

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For more information about Interview Kickstart, contact the company here:

Interview Kickstart
Burhanuddin Pithawala
+1 (209) 899-1463
aiml@interviewkickstart.com
4701 Patrick Henry Dr Bldg 25, Santa Clara, CA 95054, United States


Burhanuddin Pithawala