Lead Consultant - Bespoke Engineering & AI Innovation
Tasks
- Apply Model Context Protocol integration
- Architect AI first enterprise systems
- Build AI ready CI CD pipelines
- Build LLM integration prompt engineering and orchestration
- Define engineering patterns for Python React and cloud services
- Design retrieval augmented generation patterns
- Detect bias in AI systems
- Establish code review and quality gates
- Guide end to end technical delivery
- Implement AI augmented SDLC
- Implement LLM observability and hallucination mitigation
- Implement semantic search for enterprise data
- Integrate agentic workflows into custom solutions
- Mentor junior engineers on agentic tools
- Optimize cloud cost using AI FinOps
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Autogen | Azure | Bicep | CI/CD | DevSecOps | Django | Docker | Event Driven | Event-driven architecture | FastAPI | Flask | GitHub Copilot | Infrastructure as Code | JavaScript | Kubernetes | LLM integration | Langchain | Llamaindex | Milvus | Model Context Protocol | NoSQL | OWASP Top | OWASP Top 10 | Pinecone | Prompt engineering | Python | REST APIs | React | Retrieval-Augmented Generation | SQL | Secrets management | Semantic Search | Terraform | Top 10 | TypeScript | Vector Databases | Weaviate | “as-code”
Education
N/A
Roles
Engineer | Lead | Lead Software Engineer | Software Engineer | Technical Lead
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