Software Engineering Professional

Software Engineering Professional (AI Scheduling & Optimization Platform)

Location: Bengaluru

Experience: 4-6 Years

About the Role

We are looking for a highly skilled Software Engineering Professional to lead the transformation of a large-scale workforce scheduling platform into an AI-powered, cloud-native intelligent scheduling ecosystem.

This role combines advanced software engineering, AI/ML, operations research, optimization algorithms, and large-scale platform modernization. The successful candidate will help build next-generation scheduling and decision-intelligence capabilities to optimize the deployment of thousands of field engineers while improving operational efficiency and customer outcomes. [Taskforce...oper-61981 | Word]

Key Responsibilities

• Lead the modernization of a mission-critical scheduling platform into a scalable AI-driven solution.
• Design and implement intelligent scheduling and workforce optimization solutions.
• Develop AI-powered decision support and predictive analytics capabilities.
• Build and optimize high-performance backend systems using modern engineering practices.
• Apply machine learning, operations research, and mathematical optimization techniques to solve complex business challenges.
• Drive system scalability, reliability, performance, and operational excellence.
• Implement DevSecOps, CI/CD, observability, and SRE best practices.
• Collaborate with cross-functional teams to deliver measurable business and customer outcomes. [Taskforce...oper-61981 | Word]

Essential Skills

• Machine Learning and Predictive Analytics
• Generative AI / Large Language Models (LLMs)
• Reinforcement Learning
• Operations Research
• Workforce Optimization
• Constraint-Based Scheduling
• Route Optimization
• Recommendation Systems
• Mathematical Modelling & Simulation
• Java and Python
• Distributed Systems / High-Performance System Design
• Performance Optimization
• DevSecOps
• CI/CD
• Observability & SRE Practices [Taskforce...oper-61981 | Word]

Preferred Skills

• MLOps
• Feature Stores
• Vector Databases
• Data Lakes
• AI Model Lifecycle Management
• Knowledge Graphs
• Agentic AI Frameworks (LangChain, LangGraph, CrewAI, etc.) [Taskforce...oper-61981 | Word]

Ideal Candidate Profile

We are looking for professionals who:

• Think in systems rather than individual applications.
• Have experience solving complex optimization and scheduling problems at scale.
• Can blend deep engineering expertise with AI/ML capabilities.
• Bring strong business and operational awareness.
• Are passionate about applying AI to solve real-world challenges.
• Possess a product mindset with a focus on innovation and measurable outcomes. [Taskforce...oper-61981 | Word]

Preferred Backgrounds

Candidates from the following domains will be highly relevant:

• Workforce Management
• Scheduling Platforms
• Logistics & Supply Chain
• Telecom Field Operations
• Transportation & Mobility
• Route Optimization
• Operations Research
• AI/ML Platforms
• Decision Intelligence Systems