Job Details

CompanyMindtickle
ExperienceExperienced
LocationBangalore, Karnataka
DepartmentEngineering
PostedSat, 13 Jun, 2026
Views1

Software Development Engineer - III

Mindtickle

Bangalore, KarnatakaExperienced21h ago
Walk-in Interview

Walk-in Interview

Date
Not mentioned
Time
Not mentioned
Venue
Bengaluru, Karnataka

Job Description

Who we are   Mindtickle is the leading AI-powered revenue enablement platform that combines on-the-job learning and deal execution to drive behavior change and get more revenue per rep. Mindtickle is recognized as a market leader by top industry analysts and is ranked by G2 as the #1 sales onboarding and training product.   Our commitment to innovation has also earned us the "AI-based Sales Solution of the Year" award in the 8th annual AI Breakthrough Awards program (PR Newswire), and a Gold Stevie Award for Sales and Customer Service (Mindtickle)- recognition of our dedication to both product excellence and outstanding customer support. As an SDE-3 in AI/ML, you will:   - Translate business asks and requirements into technical requirements, solutions, architectures, and implementations. - Define clear problem statements and technical requirements by aligning business goals with AI research objectives. - Lead the end-to-end design, prototyping, and implementation of AI systems, ensuring they meet performance, scalability, and reliability targets. - Architect solutions for GenAI and LLM integrations, including prompt engineering, context management, and agentic workflows. - Develop and maintain production-grade code with high test coverage and robust CI/CD pipelines on AWS, Kubernetes, and cloud-native infrastructures. - Establish and maintain post-deployment monitoring, performance testing, and alerting frameworks to ensure performance and quality SLAs are met. - Conduct thorough design and code reviews, uphold best practices, and drive technical excellence across the team. - Mentor and guide junior engineers and interns, fostering a culture of continuous learning and innovation. - Collaborate closely with product management, QA, data engineering, DevOps, and customer facing teams to deliver cohesive AI-powered product features.

Skills & Requirements

EngineeringEngineering

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