Software Engineer - AI
Tasks
- Build CI/CD pipelines
- Build RESTful APIs and microservices
- Build and maintain agentic workflows
- Create data pipelines and embeddings for semantic search
- Deploy AI applications on cloud platforms
- Design and develop AI powered agents for enterprise automation
- Develop Retrieval-augmented generation solutions
- Develop and deploy scalable Python software
- Evaluate and benchmark AI models
- Implement event-driven architectures
- Implement prompt engineering and context engineering
- Integrate large language models into enterprise applications
- Monitor AI services and optimize scalability reliability observability
Perks/Benefits
Skills/Tech-stack
.NET | Agent Orchestration | Agent systems | Agile | Authentication & Authorization | C# | CI/CD | ChromaDB | Context engineering | Data Pipelines | Docker | Embeddings | Event Driven | Event-driven architecture | JSON | Java | Kubernetes | Langchain | Language Models | Large Language Models | Machine Learning | Memory Management | Microservices | Multi-Agent | Multi-Agent Systems | NLP | NLTK | NoSQL | NumPy | PGVector | Pandas | Pinecone | PostgreSQL | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Search | Spacy | Vector Databases | Weaviate
Education
N/A
Roles
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