
AI Automation Developer
2 days ago
Role Overview
As an AI developer, you will be working at the intersection of artificial intelligence and automation. This role is ideal for individuals who are passionate about leveraging AI to drive business outcomes.
Key Responsibilities
- Design and implement AI systems with stateful reasoning, memory, and orchestration.
- Develop intelligent agents using machine learning and deep learning techniques.
- Integrate AI models with enterprise systems (ERP, CRM, Accounting APIs, Voice Platforms).
- Build scalable AI solutions that optimize performance and reliability.
- Collaborate with cross-functional teams to bring AI-driven innovations to life.
Required Skills
- CORE AI & ML
- Strong background in Machine Learning and Deep Learning (esp. time-series & sequential modeling).
- Experience with neural networks and natural language processing.
- Knowledge of probabilistic modeling (Bayesian methods, Monte Carlo, Markov Decision Processes).
- Familiarity with anomaly detection techniques to capture unexpected signals.
- PRESRIPTIVE AI & DECISIONING
- Ability to move from prediction → prescription (recommend optimal actions, not just forecasts).
- Knowledge of reinforcement learning, optimization algorithms, or decision theory.
- Familiarity with control systems for closed-loop feedback in enterprise workflows.
- DATASET LAYER & INFRA
- Hands-on with data pipelines (ETL/ELT, Apache Kafka, Airflow, dbt, or similar).
- Experience with vector databases (Pinecone, Weaviate, Milvus) for memory/state management.
- Strong SQL + NoSQL experience (Postgres, Mongo, etc.) for structured/unstructured data.
- ENTERPRISE INTEGRATION
- Ability to connect models into ERP, CRM, Finance, and Supply Chain systems.
- Strong API design & integration skills (REST, GraphQL).
Bonus Points
- Exposure to knowledge graphs or graph databases (Neo4j) for event relationships.
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