Sr. Engineer, Software - GenAI (Hybrid)
Tasks
- Assess and recommend tooling infrastructure and observability
- Build agentic AI systems with LLMs
- Build test and optimize AI pipelines
- Coordinate end to end delivery across frontend backend and ML
- Coordinate with product engineering and research teams
- Develop RAG pipelines
- Evaluate models frameworks and integrations
- Experiment on agent reasoning planning and memory
- Guide teams with AI native engineering patterns
- Integrate MCP tools and orchestrators
- Monitor delivery metrics and GenAI tool usage
- Plan and scope agentic AI systems
- Refine engineering workflows standards and agile practices
- Support roadmap and sprint planning inputs
Perks/Benefits
Skills/Tech-stack
AWS | Agent Orchestration | Azure | Camel | Chatbot Frameworks | Cloud platform | Distributed Systems | Embeddings | Faiss | Google Cloud | Google Cloud Platform | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MCP | MLOps | Model Deployment | Observability | Orchestration frameworks | Pinecone | Python | RAG | Rasa | Retrieval-Augmented Generation | Software Architecture | Tool integration | Vector Databases | Weaviate
Education
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