AI System Designer

16 hours ago

Kottayam, Kerala, India beBeeArtificial Full time ₹ 19,40,000 - ₹ 25,15,000
About the Role

Twinamics is building a pioneering brain for enterprises.

We transform fragmented data into real-time intelligence, enabling businesses to grow revenue without expanding headcount.

Our proprietary DIPPCAA Engine (Data → Insight → Prediction → Prescription → Command → Action → Adaptation) powers an end-to-end Data-to-Action Infrastructure that connects data, reasons over it, and executes business-critical decisions through AI Employees (AI-CXOs and their Agent Workforce).

If you're excited to work at the forefront of agentic AI, orchestration frameworks, and enterprise-scale automation—this role is ideal for you.

Main Responsibilities
  • Create agentic AI systems with stateful reasoning, memory, and orchestration.
  • Develop Digital Twin AI Employees using LLMs, SLMs, and custom orchestration logic.
  • Integrate AI agents with enterprise systems (ERP, CRM, WhatsApp, Accounting APIs, Voice Platforms).
  • Design plug-and-play AI templates for cross-industry use cases.
  • Optimize for scalability: retries, fail-safes, state persistence, and performance tuning.
  • Collaborate with product designers and developers to bring enterprise-ready AI infra to life.
Skillsets We RequireCore AI & ML
  • A strong background in Machine Learning and Deep Learning.
  • Experience with LLMs, SLMs, or hybrid architectures.
  • Knowledge of probabilistic modeling.
  • Experience in time-series forecasting.
  • Familiarity with anomaly detection techniques.
  • Understanding of multi-signal fusion.
  • A strong grasp of causal inference.
Prescriptive AI & Decisioning
  • The ability to move from prediction to prescription.
  • Knowledge of reinforcement learning and optimization algorithms.
  • Familiarity with control systems for closed-loop feedback.
Data Layer & Infra
  • Hands-on experience with data pipelines.
  • Experience with vector databases for memory/state management.
  • Strong SQL and NoSQL experience.
  • Data architecture skills.
Enterprise Integration
  • The ability to connect models into ERP, CRM, Finance, and Supply Chain systems.
  • Strong API design and integration skills.

Bonus Points:

  • Exposure to knowledge graphs or graph databases.
  • Familiarity with streaming data.

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