RapinnoTech - APAC & USA
Artificial Intelligence Engineer
RapinnoTech - APAC & USA, Dallas, Texas, United States, 75215
As Tech Lead, Agentic AI Solutions on our Agentic AI Team, you will be responsible for designing and delivering enterprise-grade agentic AI architectures, enabling autonomous and semi-autonomous AI agents to perform complex tasks across business domains. This role will be instrumental in establishing the frameworks, protocols, and engineering standards that power safe, reliable, and scalable AI agent systems. Modern agentic AI requires a blend of robust orchestration, multi-agent coordination, secure tool integration, and advanced governance frameworks. You will collaborate with our Architecture team, AI/ML Engineers, Software Engineers, and Product stakeholders to design, implement, and scale agentic AI solutions that interact safely with enterprise systems, external APIs, and human operators. This role is ideal for a seasoned technology leader who thrives in a fast-paced environment and is passionate about shaping the future of intelligent agent-based platforms within the enterprise.
Responsibilities
8+ years of software engineering experience with focus on AI/ML, distributed systems, or platform engineering
3+ years in senior technical leadership roles managing engineering teams
Deep experience with business process orchestration
Expert-level Python and experience with multiple programming paradigms
Experience integrating with the full AWS stack (Bedrock, SageMaker, Lambda, S3, Redshift, VPC) and enterprise data platforms
Proven ability to design agent-safe protocols (e.g., MCP, API sandboxes, tool registries)
Strong background in distributed systems, asynchronous processing, and low-latency orchestration
Direct experience implementing AI observability tooling for tracing and evaluation
Experience balancing innovation with stability in mission-critical AI infrastructure
Familiarity with metadata management, data lineage, and knowledge graph integration for agent context
Skilled in agile methodologies and iterative delivery of complex systems
Experience with governance and compliance frameworks for enterprise AI adoption
Ability to articulate complex technical concepts to diverse stakeholders, from engineers to executives
Qualifications 8+ years of software engineering experience with focus on AI/ML, distributed systems, or platform engineering.
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Responsibilities
8+ years of software engineering experience with focus on AI/ML, distributed systems, or platform engineering
3+ years in senior technical leadership roles managing engineering teams
Deep experience with business process orchestration
Expert-level Python and experience with multiple programming paradigms
Experience integrating with the full AWS stack (Bedrock, SageMaker, Lambda, S3, Redshift, VPC) and enterprise data platforms
Proven ability to design agent-safe protocols (e.g., MCP, API sandboxes, tool registries)
Strong background in distributed systems, asynchronous processing, and low-latency orchestration
Direct experience implementing AI observability tooling for tracing and evaluation
Experience balancing innovation with stability in mission-critical AI infrastructure
Familiarity with metadata management, data lineage, and knowledge graph integration for agent context
Skilled in agile methodologies and iterative delivery of complex systems
Experience with governance and compliance frameworks for enterprise AI adoption
Ability to articulate complex technical concepts to diverse stakeholders, from engineers to executives
Qualifications 8+ years of software engineering experience with focus on AI/ML, distributed systems, or platform engineering.
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