Job Description
The AI Implementation Engineer at Inception is responsible for designing, deploying, and operating production-grade AI agents that work within the company’s enterprise workflows. This role requires candidates to show practical engineering abilities, knowledge of AI-powered systems and to create secure and dependable systems while working together with product teams and architecture teams and platform teams to achieve specific operational results.
Job ID: 2605
Date Posted: February 20, 2026
Expiration Date: NA
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Main Duties
- Create operational AI agents through pro-code frameworks by developing their complete setup process and production deployment methods.
- Execute all agent functions through the implementation of essential operational components which include both tools and planned operational procedures.
- Establish connections between AI agents and business processes to handle approval requests, complete tasks, and perform data updates.
- Develop sustainable system connections through the use of REST APIs, webhooks, and event-driven architectural designs.
- Proceed with operating artificial intelligence systems inside protected environments that meet enterprise security requirements.
- Engage in testing activities which include both product releases and development process improvements.
- Tuning and enhancing deployed agents using operational data and customer feedback for performance assessment purposes.
Essential Qualifications
- Bachelor’s degree in Computer Science, Engineering, Business Administration, or related field.
- Candidates must have 4 to 6 years of experience in software engineering or AI implementation or solutions engineering.
- Advanced Python skills and practical experience with Microsoft agent frameworks and other agentic frameworks.
- Demonstrates a complete understanding of vector databases together with AI search patterns.
- Proven ability to develop pro-code solutions through AI-enabled services and agent-based services.
- Experience in implementing API connections across systems used in enterprise environments together with their operational processes.
Preferred Qualifications
- Familiarity with Microsoft AI Foundry, Azure AI Studio extensibility, or equivalent frameworks.
- Experience deploying and operating solutions in secure, enterprise-grade environments.
- Strong problem-solving skills and production-quality focus
- Ability to work effectively in cross-functional engineering teams.