AI Agents Developer - Innovative AI/GenAI Solutions for Software Development Lifecycle

Further Details

Seeking a skilled AI Agents Developer to conceptualize, build, and deploy AI agents for critical phases of the software development lifecycle (SDLC). This position involves enriching an existing agent framework and architecting multi-agent orchestrations. The goal is to integrate these intelligent agents with development, requirements management, testing, and delivery tools, ensuring operational efficiency. This role demands a proactive approach to transforming use cases into deployable solutions, from inception through to ongoing maintenance. You will be instrumental in enhancing code quality, ensuring result reliability, and overseeing agent actions. Emphasis is placed on creating production-ready AI functionalities. Explore these high salary jobs with competitive benefits. Key responsibilities include developing AI agents for requirements analysis, coding, code review, verification, and documentation. You will also architect multi-agent workflows, manage context sharing, and incorporate human-in-the-loop validations. This role offers a significant impact on the future of AI-driven software development.

AI Agents Developer - Innovative AI/GenAI Solutions for Software Development Lifecycle

Embark on an exciting career as an AI Agents Developer, crafting intelligent agents to streamline the entire software development lifecycle. This role focuses on designing, developing, and deploying AI solutions that enhance requirements analysis, coding, testing, and maintenance. You will leverage a robust agent framework to build sophisticated multi-agent orchestrations, integrating them seamlessly with essential development tools.

This is a prime opportunity to contribute to cutting-edge AI/GenAI technologies, focusing on creating reliable, secure, and production-ready solutions. You'll work with advanced concepts like LLMs, RAG, and prompt engineering, ensuring the agents are testable and efficient.

Join a dynamic team where you will industrialize AI agents, implementing automated testing, versioning, deployment, and monitoring. The mission involves extending existing agent frameworks and integrating with platforms like GitHub Copilot and GitLab Duo, driving innovation in software engineering.

Key Highlights:

• Develop and deploy AI Agents for SDLC enhancement.
• Architect multi-agent orchestrations for complex workflows.
• Integrate with leading development and CI/CD tools.
• Focus on AI/GenAI, LLMs, RAG, and prompt engineering.
• Ensure industrialization through robust testing and monitoring.

Skills

• Development of AI/GenAI solutions
• Proficiency in agent platforms
• Python development
• Git and GitHub mastery
• Implementation of CI/CD pipelines
• Development and deployment of AI agents and multi-agent orchestrations

Duties and Responsibilities:

• Design, develop, test, deploy, and maintain AI agents for requirements analysis, development, code review, V&V, and documentation
• Develop multi-agent workflows incorporating routing, context sharing, handoffs, and human-in-the-loop validations
• Extend and evolve the existing agentic framework
• Integrate agents with GitHub Copilot, GitLab Duo, CI/CD pipelines, and IBM ALM via API, MCP, and A2A
• Industrialize agents through automated testing, evaluation, versioning, packaging, deployment, and monitoring

How to apply

• Prepare Your Application: Ensure your Curriculum Vitae (CV) and any relevant supporting documents are up-to-date.
• Review Requirements: Carefully assess the mandatory and complementary skills outlined for this role.
• Application Submission: Submit your application through the provided link.
• Deadline: Ensure all application materials are submitted before the closing date of 28 December 2026.
• Contact Point: For specific inquiries related to the application process, please refer to the contact details provided on the employer's platform.