PAR Tech - Engineering Manager - AI/ML
PARTECH SOFTWARE INDIA PRIVATE LIMITED
Role : Engineering ManagerLocation : Gurugram / JaipurNotice Period : Immediate to 60 daysJob Description : We are looking for an experienced and hands-on Engineering Manager to lead a high-performing, cross-functional development team at Punchh (a PAR company). You will play a critical role in building new cloud-based products and improving core systems aligned with our platform strategy.Reports To : Senior Director / Engineering Leadership TeamWhat We're Looking For : - Bachelor's degree in Computer Science or a related technical field- 12+ years of total experience in Software Development- 2+ years of proven engineering management experience- Experience managing a team of 10+ engineersTech Stack : - Languages : Python, Java, C#, Golang, or Ruby on Rails- Cloud/DevOps : Deep hands-on experience with cloud technologies, DevOps, and NoSQL- Fundamentals : Proficient in design patterns, data structures, and Test Driven Development (TDD)- Systems : Experience building scalable microservices, web services, and distributed systemsAI/ML Focus : - Exposure to AI / ML-driven product features such as recommendations, personalization, forecasting, search, or automation- Familiarity with LLM-based systems, including prompt engineering concepts, embeddings, vector databases, and retrieval-augmented generation (RAG)- Experience integrating AI services using frameworks or platforms such as OpenAI APIs, AWS Bedrock, Azure OpenAI, Vertex AI, or similarWhat You Will Be Doing : - Provide technical leadership on major projects and critical product development- Build and lead an engineering team of 10 - 15 engineers- Mentor engineers and help drive their career development and growth- Contribute to the codebase early on, as the team scales- Establish best practices for code quality and system design- Provide technical leadership in building and scaling AI-assisted product capabilities within a SaaS platform- Partner with Product and Data teams to translate business problems into AI-driven solutionsInterview Process : - Interview #1 : Phone Screen with Talent Acquisition Team- Interview #2 : Video interview with the Technical Teams (via MS Teams / F2F)- Interview #3 : Video interview with the Technical Teams (via MS Teams / F2F)- Interview #4 : Video interview with the Hiring Manager (via MS Teams / F2F) (ref:hirist.tech)
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