Dicetek LLC
Linkedin · Posted 4mo ago
AI Engineer (LLM & Data Applications)
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Indexed description
AI Engineer Role OverviewDesign and deliver enterprise AI/ML and Generative AI solutions to enhance digital services, ensuring scalability, security, and compliance (PDPL, FedNet).
Key Responsibilities
- Develop LLM-based solutions (RAG, copilots, AI agents) using LangChain/LangGraph/ADK
- Build and deploy ML/NLP models integrated into enterprise systems
- Design AI agents & workflows (n8n, DataIKU, Copilot Studio) with automation capabilities
- Develop APIs/microservices and integrate with platforms (webMethods, React apps)
- Implement vector databases, embeddings, and data pipelines
- Deploy solutions on on-premise and cloud (Azure) using Docker & Kubernetes
- Apply MLOps & secure SDLC practices with monitoring and continuous improvement
- Ensure compliance, data privacy, and governance standards
- Collaborate with EA, data, security, and business teams
- Python, TensorFlow/PyTorch/scikit-learn
- LLM frameworks (LangChain, LangGraph), prompt engineering, RAG
- Databases: PostgreSQL, MSSQL, Redis, S3
- APIs, microservices, integration platforms
- Cloud AI services + containerization (Docker/K8s)
- Data preprocessing & model optimization
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