- Build multi-agent orchestration frameworks with memory and caching layers
- Design and instrument knowledge graph architectures for agent reasoning
- Develop conversational analytics using Gemini Enterprise, Google ADK, and MCP
- Configure BigQuery Data Agents and address data quality/deep research issues
- Implement end-to-end security and observability for production agents
- Build ETL/ELT pipelines and analytics-ready datasets on GCP
- Strong understanding of LLMs, agentic AI, multi-agent orchestration, and tool-calling concepts
- Experience building with at least one LLM platform (Gemini, OpenAI, Anthropic, etc.) and exposure to modern agent frameworks
- Familiarity with RAG architectures, agent memory systems, and prompt engineering through projects or self-directed learning
- Strong foundation in software engineering that transfers well to agent systems development
- Advanced SQL and BigQuery expertise
- Experience building ETL/ELT pipelines and designing semantic models
- Knowledge of modern cloud data warehouse architectures
- Strong Python development skills
- Experience with APIs, distributed systems, Docker
- Working knowledge of GCP services (Compute, Storage, Data, ML/AI)
- Understanding of cloud security best practices
- Experience implementing observability and monitoring
- Vector databases, Vertex AI, or knowledge graph experience
- Background in internal developer platforms or analytics infrastructure
Skills Required
- Strong understanding of LLMs, agentic AI, multi-agent orchestration, and tool-calling concepts
- Experience with at least one LLM platform, such as Gemini, OpenAI, or Anthropic, and exposure to modern agent frameworks
- Familiarity with RAG architectures, agent memory systems, and prompt engineering through projects or self-directed learning
- Strong software engineering foundation applicable to agent systems development
- Advanced SQL and BigQuery expertise
- Experience building ETL/ELT pipelines and designing semantic models
- Knowledge of modern cloud data warehouse architectures
- Strong Python development skills
- Experience with APIs, distributed systems, and Docker
- Working knowledge of GCP Compute, Storage, Data, and ML/AI services
- Understanding of cloud security best practices
- Experience implementing observability and monitoring
- Experience with vector databases, Vertex AI, or knowledge graphs
- Background in internal developer platforms or analytics infrastructure
What We Do
@TechBlocks we power the software defined industries (SDI) of today and tomorrow. We are a software engineering and consulting firm. We build modern digital value chains and businesses reimagined to create frictionless experiences for innovative monetization methods and drive unforeseen efficiencies. We are known to build world class custom platforms and products that are cloud native for some of the worlds largest brands. We are the go to technology partners for born in digital businesses that grew with us from "Concept to Commercialization" and have revenues between $100M - $10B. We help modern businesses transition just from a technology outsourcing mentality to help create globally distributed digital COEs and mature them. Our converged COEs that we create in partnership with our clients help power software factories that are extremely dynamic. We have created modern digital COEs and factories that are created with a single minded goal to future proof our clients businesses. Everything we do is centred around two philosophies and practices - Design Thinking and Lean Engineering. Whether it is building digital commerce platforms, marketplace for worlds largest retailers or smart utilities applications and products or digital health products/platforms that power wearables, patches or devices across healthcare landscape; we do it all with speed and sophistication that is unmatched in the industry
