Engineering Manager

Role Overview :

As an Engineering Manager based in Hyderabad, you will spearhead the design, development, and deployment of high-impact machine learning systems that define our product's competitive edge. You will operate at the intersection of technical strategy and team leadership, guiding a high-performing group of engineers to build scalable solutions using Python, LLMs, and cloud-native architectures.

By collaborating closely with product managers, data scientists, and executive stakeholders, you will translate complex business requirements into robust technical roadmaps. Your work will directly influence user experience and operational efficiency, ensuring our platform remains at the forefront of AI innovation while maintaining rigorous engineering standards.

Key Responsibilities :

• Lead and mentor a cross-functional engineering team to foster a culture of technical excellence, continuous learning, and high-velocity delivery.

• Architect and oversee the development of scalable ML pipelines and LLM-integrated applications to solve critical business problems and enhance product capabilities.

• Collaborate with product and business stakeholders to define technical strategy, ensuring that engineering efforts align with long-term company objectives and market demands.

• Optimize cloud infrastructure and deployment workflows to ensure high availability, cost-efficiency, and performance for our global user base.

• Implement best practices in code quality, system design, and automated testing to maintain a stable and reliable production environment.

• Drive the adoption of emerging technologies and methodologies to keep the organization ahead of the curve in the rapidly evolving AI landscape.

Required Skillset :

• Demonstrated expertise in designing and deploying production-grade machine learning models and LLM-based applications using Python.

• Proven ability to manage and scale cloud infrastructure, with a deep understanding of cloud-native services and distributed systems.

• Strong interpersonal skills with the ability to communicate complex technical concepts to non-technical stakeholders and influence cross-functional decision-making.

• Exceptional leadership capabilities, including experience in coaching engineers, managing performance, and fostering a collaborative, inclusive team environment.

• A solid academic foundation in Computer Science, Engineering, or a related quantitative field, which provides the analytical rigor necessary for solving complex technical challenges.

• High adaptability to a hybrid work environment in Hyderabad, maintaining productivity and team cohesion across distributed workflows.

• 7 to 10 years of professional experience in software engineering, with a significant portion dedicated to leading technical teams and delivering AI-driven solutions.