Engineering Manager– AI

1 week ago

Bengaluru, Karnataka, India HYrEzy Tech Solutions Full time ₹ 8,00,000 - ₹ 10,00,000 per year

Role: Engineering Manager – AI & Data | Bangalore
About Us:-
We are a fast-growing startup building an AI-first omnichannel franchisee platform, empowering global consumer brands to expand seamlessly into new markets. Our solution leverages cutting-edge data architecture, agentic AI-driven automation, and intelligent insights to transform decision-making across marketing, supply chain, inventory, pricing, cataloguing, and category management.

Role Overview:-
We seek an Engineering Manager to architect and scale our data and AI infrastructure, build decision augmentation engines, lead automation initiatives, and create robust monitoring systems. This is a unique opportunity to shape the technology backbone of a disruptive business model in global retail and ecommerce.

Key Responsibilities:-

  • Data Architecture & Engineering
  • Design and own end-to-end data architecture across multiple business functions.
  • Build scalable, real-time data pipelines across brands, channels, and geographies.
  • Maintain strong data governance, lineage, and quality.
  • AI & Automation
  • Architect AI-first engines combining predictive and generative AI for business workflows.
  • Deploy agentic AI systems to automate key processes in marketing, supply chain, pricing, catalogue ops, and category management.
  • Lead MLOps practices for model deployment, monitoring, and continuous improvement.
  • Systems Reliability & Monitoring
  • Develop infrastructure anomaly detection and self-healing systems.
  • Create AI-driven business KPI monitoring and alerting for stockouts, sales drops, and demand surges.
  • Leadership & Collaboration
  • Hire, mentor, and scale a high-performing engineering team.
  • Instil a culture of innovation, experimentation, and speed.
  • Align technology strategy closely with product, marketing, and supply chain business leaders.

Key Competencies & Skills:-

  • Technical:-
  • Proven expertise in data engineering and architecture (SQL/NoSQL, cloud data warehouses, data lakes, streaming infrastructure such as Kafka/Kinesis).
  • Extensive experience in building and deploying AI/ML systems: demand forecasting, dynamic pricing, anomaly detection, generative AI.
  • Knowledge of agentic AI frameworks (LangChain, LlamaIndex, AutoGen, orchestration tools).
  • Hands-on coding ability (Python, Go, or Java); openness to AI code tools (Cursor, Copilot, etc).
  • Experience with MLOps tools (Kubeflow, MLflow, SageMaker, Vertex AI).
  • Full stack engineering background preferred.
  • Leadership:-
  • 8-10 years of engineering experience, with 3-4 years as a Manager/ Lead or EM handling small/medium-sized teams.
  • Experience scaling teams in high-growth startups or enterprise AI/data platforms.
  • Strong communication, collaboration, and stakeholder management.
  • Experience in retail and/or ecommerce preferred.
  • Ability to translate business challenges into scalable technical solutions.

What We Offer:-

  • Opportunity to build the AI-first backbone for global brand expansion.
  • High autonomy, ownership, and direct business impact.
  • Competitive compensation (up to ₹1 Crore fixed + equity options for ideal candidates).
  • Fast-paced, entrepreneurial working culture with global ambitions.

Skills: data engineering and architecture,mlops tools,ai frameworks (langchain, llamaindex, autogen, orchestration tools),ai/ml,full stack,ai & data,engineering manager– ai & data

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