Advanced Intelligence Developer

1 week ago

Hyderabad, Telangana, India beBeeArtificialintelligenceengineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

As a cutting-edge AI professional, you will play a pivotal role in building the Autonomous Brain for Enterprises.

We transform complex data into real-time intelligence and autonomous actions, enabling businesses to grow revenue without expanding their workforce.

The core of our solution is our proprietary DIPPCAA Engine, which 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.

Key Responsibilities
  • Design and implement stateful reasoning systems with memory and orchestration.
  • Develop Digital Twin AI Employees using LLMs, SLMs, and custom logic.
  • Integrate AI agents with enterprise systems (ERP, CRM, APIs).
  • Build plug-and-play AI templates for cross-industry use cases.
  • Optimize for scalability: retries, fail-safes, state persistence, and performance tuning.
Required Skills and Qualifications

CORE AI & ML

  • Strong background in Machine Learning and Deep Learning (time-series & sequential modeling).
  • Experience with LLMs, SLMs, or hybrid architectures for reasoning + prediction.
  • Knowledge of probabilistic modeling (Bayesian methods, Monte Carlo, Markov Decision Processes).
  • Familiarity with time-series forecasting techniques (ARIMA, Prophet, RNN/LSTM/GRU, Transformer-based models).
  • Understanding of anomaly detection and multi-signal fusion.
  • Strong grasp of causal inference and correlation vs. causation.

PRESSCRIPTIVE AI & DECISIONING

  • Ability to move from prediction to prescription (recommend optimal actions).
  • Knowledge of reinforcement learning, optimization algorithms, or decision theory.
  • Familiarity with control systems for closed-loop feedback in enterprise workflows.

DATA LAYER & INFRA

  • Hands-on experience with data pipelines (ETL/ELT, Apache Kafka, Airflow, dbt).
  • Experience with vector databases for memory/state management.
  • Strong SQL + NoSQL experience for structured/unstructured data.
  • Data architecture skills: schema design, feature engineering, real-time + batch pipelines.

ENTERPRISE INTEGRATION

  • Ability to connect models into ERP, CRM, Finance, and Supply Chain systems.
  • Strong API design and integration skills.

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