Software Engineering Lead
Tasks
- Architect AI first enterprise solutions
- Balance token usage model selection and inference costs
- Build semantic search solutions
- Create AI ready CI CD pipelines
- Define engineering patterns for Python React and cloud services
- Design REST integrations and event driven architectures
- Develop RAG retrieval augmented generation patterns
- Drive structured code reviews and governance
- Establish quality gates for security performance and LLM observability
- Implement Model Context Protocol
- Integrate AI into software lifecycle
- Lead end to end technical evolution
- Mentor junior engineers on Agentic AI tools
- Mitigate hallucinations and detect bias
- Optimize cloud cost for AI workloads
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | Autogen | Azure | Bias detection | Bicep | CI/CD | Django | Docker | Event Driven | Event-driven architecture | FastAPI | Flask | GitHub Copilot | Hallucination mitigation | Infrastructure as Code | Kubernetes | LLM Observability | Langchain | Language Models | Large Language Models | Llamaindex | Milvus | Model Context Protocol | NoSQL | OWASP Top | OWASP Top 10 | OWASP Top 10 for LLMs | Pinecone | Prompt engineering | Python | REST | React | Retrieval-Augmented Generation | SQL | Secrets management | Semantic Search | Terraform | TypeScript | Vector Databases | Weaviate | Web Services | “as-code”
Education
N/A
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