Mindtickle

Software Development Engineer - III

Lead Product Designer

Senior Specialist, Revenue Enablement

Senior Instructional Designer

Representative Managed Services

Instructional Designer

Customer Success Manager [US Shift]

Delivery Consultant, Professional Services

Software Development Engineer- II Fullstack

Mindtickle is a market-leading revenue productivity platform. As an SDE-3 in AI/ML, you will translate business requirements into technical solutions, lead the design and implementation of AI systems, architect solutions for GenAI and LLM integrations, develop and maintain production-grade code on AWS and Kubernetes, establish monitoring frameworks, conduct code reviews, mentor junior engineers, and collaborate cross-functionally to deliver AI-powered product features.

Senior Product Designer

<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Who we are</h2>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:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Translate business asks and requirements into technical requirements, solutions, architectures, and implementations.</li><li class="leading-relaxed">Define clear problem statements and technical requirements by aligning business goals with AI research objectives.</li><li class="leading-relaxed">Lead the end-to-end design, prototyping, and implementation of AI systems, ensuring they meet performance, scalability, and reliability targets.</li><li class="leading-relaxed">Architect solutions for GenAI and LLM integrations, including prompt engineering, context management, and agentic workflows.</li><li class="leading-relaxed">Develop and maintain production-grade code with high test coverage and robust CI/CD pipelines on AWS, Kubernetes, and cloud-native infrastructures.</li><li class="leading-relaxed">Establish and maintain post-deployment monitoring, performance testing, and alerting frameworks to ensure performance and quality SLAs are met.</li><li class="leading-relaxed">Conduct thorough design and code reviews, uphold best practices, and drive technical excellence across the team.</li><li class="leading-relaxed">Mentor and guide junior engineers and interns, fostering a culture of continuous learning and innovation.</li><li class="leading-relaxed">Collaborate closely with product management, QA, data engineering, DevOps, and customer facing teams to deliver cohesive AI-powered product features.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Key Responsibilities</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Problem Definition & Requirements</li></ul>1.Translate business use cases into detailed AI/ML problem statements and success metrics.2.Gather and document functional and non-functional requirements, ensuring traceability throughout the development lifecycle.<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Architecture & Prototyping</li></ul>1.Design end-to-end architectures for GenAI and LLM solutions, including context orchestration, memory modules, and tool integrations.2.Build rapid prototypes to validate feasibility, iterate on model choices, and benchmark different frameworks and vendors.<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Development & Productionization</li></ul>1.Write 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).<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Post-Deployment Monitoring</li></ul>1.Define and implement monitoring dashboards and alerting for model drift, latency, and throughput.2.Conduct regular performance tuning and cost analysis to maintain operational efficiency.<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Mentorship & Collaboration</li></ul>1.Mentor SDE-1/SDE-2 engineers and interns, providing technical guidance and career development support.2.Lead design discussions, pair-programming sessions, and brown-bag talks on emerging AI/ML topics.3.Work cross-functionally with product, QA, data engineering, and DevOps to align on delivery timelines and quality goals.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Required Qualification</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.</li><li class="leading-relaxed">8+ years of professional software development experience, with at least 3 years focused on AI/ML systems.</li><li class="leading-relaxed">Proven track record of architecting and deploying production AI applications at scale.</li><li class="leading-relaxed">Strong programming skills in Python and one or more of Java, Go, or C++.</li><li class="leading-relaxed">Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerized deployments.</li><li class="leading-relaxed">Deep understanding of machine learning algorithms, LLM architectures, and prompt engineering.</li><li class="leading-relaxed">Expertise in CI/CD, automated testing frameworks, and MLOps best practices.</li><li class="leading-relaxed">Excellent written and verbal communication skills, with the ability to distill complex AI concepts for diverse audiences.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Preferred Experience</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Prior experience building Agentic AI or multi-step workflow systems (using tools like Langgrah, CrewAI or similar).</li><li class="leading-relaxed">Familiarity with open-source LLMs (e.g., Hugging Face hosted) and custom fine-tuning.</li><li class="leading-relaxed">Familiarity with ASR (Speech to Text) and TTS (Text to Speech), and other multi-modal systems.</li><li class="leading-relaxed">Experience with monitoring and observability tools (e.g. Datadog, Prometheus, Grafana).</li><li class="leading-relaxed">Publications or patents in AI/ML or related conference presentations.</li><li class="leading-relaxed">Knowledge of GenAI evaluation frameworks (e.g., Weights & Biases, CometML).</li><li class="leading-relaxed">Proven experience designing, implementing, and rigorously testing AI-driven voice agents - integrating with platforms such as Google Dialogflow, Amazon Lex, and Twilio Autopilot - and ensuring high performance and reliability.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What we offer?</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Opportunity to work at the forefront of GenAI, LLMs, and Agentic AI in a fast-growing SaaS environment.</li><li class="leading-relaxed">Collaborative, inclusive culture focused on innovation, continuous learning, and professional growth.</li><li class="leading-relaxed">Competitive compensation, comprehensive benefits, and equity options.</li><li class="leading-relaxed">Flexible work arrangements and support for professional development.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Our culture & accolades</h2>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.

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extreme network

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Extreme Networks is seeking a Senior Software Engineer for a greenfield opportunity in Big Data and Generative AI. This role involves designing, implementing, and maintaining scalable distributed systems, data pipelines, and ML services. The engineer will contribute to system architecture, build microservices for AI Agents, and collaborate on integrating Big Data and GenAI solutions into products. The position focuses on innovating next-gen networking experiences using AI, ML, Big Data, and Cloud Computing, driving innovation from concept to delivery.

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Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.Senior Software Engineer – (Big Data, GenAI):Experience: 5 to 12 YearsLocation: Bangalore, IndiaRemoteAre you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Job Responsibilities</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Design, implement, and maintain scalable distributed systems, data pipelines, and ML services</li><li class="leading-relaxed">Contribute to system architecture discussions and help shape design decisions for production systems</li><li class="leading-relaxed">Build and optimize microservices and real-time inferencing solutions powering AI Agents</li><li class="leading-relaxed">Collaborate with cross-functional teams to integrate Big Data and Generative AI solutions into products and platforms such as Lakehouse, Streaming Services, and ETL Pipelines</li><li class="leading-relaxed">Write high-quality, production-ready code and participate in design reviews, code reviews, and testing</li><li class="leading-relaxed">Mentor junior engineers and contribute to engineering best practices</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Requirements</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Degree in Computer Science, Mathematics, or a related field</li><li class="leading-relaxed">5+ years of experience across the full software development lifecycle including design, coding, testing, deployment, and operations</li><li class="leading-relaxed">3+ years of experience with distributed Big Data systems such as PySpark, Kafka, Lakehouse, Debezium, Druid, or Glue</li><li class="leading-relaxed">Hands-on experience delivering ML or Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production</li><li class="leading-relaxed">Experience deploying large-scale systems on cloud platforms such as AWS, Azure, or GCP</li><li class="leading-relaxed">Strong problem-solving skills with the ability to deliver in fast-paced, collaborative environments</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Preferred Qualifications</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">MS in Computer Science, Machine Learning, or a related field</li><li class="leading-relaxed">Experience with Graph ML such as GNNs or Graph RAG</li><li class="leading-relaxed">Experience in Generative AI such as RAG, Knowledge Bases, or AI Agents</li></ul>Extreme Networks, Inc. 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Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

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