Exponential Engineering

2 days ago


Bengaluru, Karnataka, India Infosys Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Job Description:
  • Lead multiple Exponential Pods to deliver AI accelerated software with speed and quality
  • Own delivery outcomes refine agentic workflows and mentor teams in AI native engineering
Key Responsibilities:
  • Key Responsibilities
  • Define product features and workflows using structured prompts for AI agents
  • Prototype solutions using AI tools and validate outputs with stakeholders
  • Translate business needs into incremental tasks for agentic execution
  • Collaborate with architects and engineers to integrate AI generated features
  • Facilitate workshops to refine requirements and improve product fit
  • Manage delivery across Pods using Agentic Software workflows
  • Review and fine tune agent workflows for quality velocity and reliability
  • Define and monitor engineering metrics velocity quality agent performance
  • Estimate effort size workstreams and support proposal creation
  • Solve delivery bottlenecks and guide teams through ambiguity
  • Coach engineers and architects on agentic development practices
Technical Requirements:
  • Required Skills
  • Domain Expertise Deep knowledge in one or more verticals Retail CPG Logistics Financial Services Healthcare Insurance
  • Product Management Experience in feature definition prioritization and roadmap planning
  • AI Tooling Hands on use of AI platforms e
  • g
  • ChatGPT Claude Copilot for prototyping and discovery
  • Design Exposure Familiarity with product design principles and visual prototyping tools
  • Mindset Outcome driven experimental and comfortable working in fast evolving AI environments
  • Delivery Leadership Experience managing software delivery across distributed teams
  • Agentic AI Familiarity Exposure to AI Coding tools such as Copilot Claude Cursor Devin or any similar tools
  • Engineering Metrics Ability to define and track delivery KPIs in AI augmented environments
  • Problem Solving Strong analytical skills and decision making in complex delivery scenarios
  • Client Engagement Comfortable in client facing roles translating tech into business impact
Additional Responsibilities:
  • Nice to Have
  • Experience in blended Product Manager Designer roles
  • Exposure to agentic software development workflows
  • Experience with vector databases semantic search or multi agent orchestration
  • Familiarity with reinforcement learning or cognitive architectures
  • Workshop facilitation and stakeholder alignment skills
Preferred Skills:

Domain->Product Management->Product Management - All,Foundational->Product Engineering->Product Development,Technology->Artificial Intelligence->Artificial Intelligence - ALL



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