Software Development Engineer - III

Who we are Mindtickle is the market-leading revenue productivity platform that combines on-the-job learning and deal execution to 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. We’re honoured to be recognized as a Leader in the first-ever Forrester Wave™ : Revenue Enablement Platforms, Q3 2024!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.

Key Responsibilities

• Problem Definition & Requirements

1.Translate business use cases into detailed AI / ML problem statements and success metrics. and document functional and non-functional requirements, ensuring traceability throughout the development lifecycle.

end-to-end architectures for GenAI and LLM solutions, including context orchestration, memory modules, and tool integrations. rapid prototypes to validate feasibility, iterate on model choices, and benchmark different frameworks and vendors.

clean, maintainable code in Python, Java, or Go, following software engineering best practices.2.Implement automated testing (unit, integration, and performance tests) and CI / CD pipelines for seamless deployments.3.Optimize model inference performance and scale services using containerization (Docker) and orchestration (Kubernetes).

and implement monitoring dashboards and alerting for model drift, latency, and throughput.2.Conduct regular performance tuning and cost analysis to maintain operational efficiency.

SDE-1 / SDE-2 engineers and interns, providing technical guidance and career development support. design discussions, pair-programming sessions, and brown-bag talks on emerging AI / ML topics. cross-functionally with product, QA, data engineering, and DevOps to align on delivery timelines and quality goals.

Required Qualification

Preferred Experience

What we offer?

Our culture & accolades As an organization, it’s our priority to create a highly engaging and rewarding workplace. We offer tons of awesome perks and many opportunities for growth.Our culture reflects our employee's globally diverse backgrounds along with our commitment to our customers, and each other, and a passion for excellence. We live up to our values, DAB, Delight your customers, Act as a Founder, and Better Together.Mindtickle is proud to be an Equal Opportunity Employer.All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.Your Right to Work - In compliance with applicable laws, all persons hired will be required to verify identity and eligibility to work in the respective work locations and to complete the required employment eligibility verification document form upon hire.