
AI Systems Engineer
4 days ago
This role is part of our efforts to push the boundaries of agentic AI, automating businesses with real-time intelligence and autonomous actions.
The job involves designing and implementing stateful reasoning, memory, and orchestration systems for a cutting-edge engine.
Key Responsibilities- Develop Digital Twin AI Employees using large language models (LLMs), sequence learning models (SLMs), and custom orchestration logic.
- Integrate AI agents with enterprise systems such as ERP, CRM, Accounting APIs, Voice Platforms.
- Build plug-and-play AI templates for cross-industry use cases.
- Collaborate with product designers and developers to bring enterprise-ready AI infrastructure to life.
- Strong background in Machine Learning and Deep Learning, especially in 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).
- Experience in time-series forecasting (ARIMA, Prophet, RNN/LSTM/GRU, Transformer-based models).
- Ability to move from prediction → prescription (recommend optimal actions, not just forecasts).
- Knowledge of reinforcement learning, optimization algorithms, or decision theory.
Data Layer & Infrastructure
- Hands-on experience with data pipelines (ETL/ELT, Apache Kafka, Airflow, dbt, or similar).
- Experience with vector databases (Pinecone, Weaviate, Milvus, pgvector) for memory/state management.
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