AI Developer

Coforge; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Coforge in Hyderabad is seeking a software/AI professional to drive workflow digital twin development. You will analyze operations workflows, model them as executable logic, and build AI agents to mimic human decisions within automated pipelines.

You will integrate with enterprise systems, use Python, APIs, and data processing tools to validate fidelity, optimize performance, and support production deployments.

Qualifications

• 3-5 years experience in software development, automation, or AI/ML.

Responsibilities

• Analyze and deconstruct operations user workflows to map tasks, decisions, and exceptions.
• Build digital representations of workflows as decision trees or state machines.
• Translate business processes into executable automation logic.
• Capture edge cases and branching logic for robust automation.
• Develop AI agents/copilots that mimic user behavior and decision-making.
• Integrate with enterprise systems via APIs and data pipelines.
• Validate Digital Twin accuracy against real user behavior and outcomes.
• Monitor and optimize workflow execution metrics to reduce manual intervention.

Skills

Python

APIs & automation workflows

Process automation

REST APIs

Data processing

Logical thinking

Mimic human decision-making

Debugging complex workflows

Collaboration with stakeholders

Tools

Copilot Studio / Azure AI Foundry

LangChain / Semantic Kernel

Job description

Key Responsibilities

Workflow Digital Twin Development

• ? Analyze and deconstruct operations user workflows (tasks, decisions, exceptions, dependencies)
• ? Build digital representations of workflows (decision trees, state machines, agent flows)
• ? Translate business processes into automated, executable logic
• ? Capture and model edge cases, branching logic, and exception handling

Agentic AI & Automation

• ? Develop AI agents/copilots that mimic operations user behavior and decision-making
• ? Implement orchestration using tools such as:
  • Copilot Studio / Azure AI Foundry
  • LangChain / Semantic Kernel (or similar frameworks)
• ? Enable human-like task execution (data retrieval, validation, enrichment, updates)

AI/ML & Decisioning

• ? Build models for:
  • Classification and routing
  • Anomaly detection
  • Recommendation/decision support
• ? Integrate LLMs for reasoning, summarization, and workflow execution assistance

Data & Systems Integration

• ? Integrate with enterprise systems (APIs, databases, file systems, M365, CRM)
• ? Build pipelines for ingesting structured and unstructured operational data
• ? Ensure data consistency and traceability across workflow steps

Testing & Validation

• ? Validate Digital Twin accuracy against actual user behavior and outcomes
• ? Perform side-by-side comparisons (human vs digital twin output)
• ? Continuously refine logic to improve fidelity and performance

Monitoring & Optimization

• ? Track workflow execution metrics (accuracy, cycle time, exceptions)
• ? Improve automation coverage and reduce manual intervention
• ? Support production deployments and troubleshoot issues

Required Qualifications

• ? 3?5 years? experience in software development, automation, or AI/ML
• ? Strong Python skills and experience building APIs and automation workflows
• ? Experience with:
  • Process automation (Power Automate, BPM tools, or custom pipelines)
  • REST APIs and system integration
  • Data processing (Pandas, SQL)
• ? Ability to translate business workflows into technical logic

Key Skills

• ? Strong logical and structured thinking (if/then, branching, dependencies)
• ? Ability to mimic human decision-making in code
• ? Debugging complex workflows and edge cases
• ? Collaboration with non-technical stakeholders

Success Metrics

• ? % of ops workflows successfully replicated and automated
• ? Reduction in manual effort and cycle time
• ? Accuracy of digital twin vs human execution
• ? Reduction in exceptions and rework

Example Work

• ? Build an AI agent that replicates trade reconciliation workflows
• ? Automate document review and data extraction + validation steps
• ? Mimic email-driven ops processes (triage ? action ? update systems)
• ? Create decision engines for exception handling and routing