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Senior AI Developer

  • Source: Naukri
  • Coforge
  • $12,666.02 to $23,221.03 /yr
  • Hybrid
  • Hyderabad
  • Full-Time
  • Senior

Job Description

AI Developer

Role Summary

We are seeking an AI Developer to build Digital Twin solutions that replicate and automate operations user workflowscapturing how work is performed today and translating it into AI-driven, rule-based, and agentic systems.

This role focuses on developing systems that observe, model, and execute human decision flows, enabling scalable automation, consistency, and operational efficiency.

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

Preferred Qualifications

  • Experience with agentic AI / copilots / LLM integration
  • Familiarity with process mining or workflow modeling tools
  • Exposure to Copilot Studio, Azure AI, or similar platforms
  • Understanding of human-in-the-loop automation patterns
  • Experience in operations-heavy environments (financial services preferred)

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

Skills

  • microsoft-azure
  • LangChain
  • Python
  • Pandas
  • process-mining
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