AI Engineer – Agentic Systems
Tasks
- Architect deterministic behaviors and guardrails
- Build and evolve RAG pipelines
- Build backend and edge services in Python
- Communicate with technical/non-technical stakeholders
- Contribute to evaluation frameworks and telemetry
- Debug AI reasoning, Android OS, network, and application logic
- Develop reusable patterns and frameworks
- Ensure security, maintainability, and scalability
- Handle degraded-connectivity scenarios
- Implement hallucination detection and grounding strategies
- Implement prompt strategies and structured workflows
- Implement speech-to-text pipelines
- Integrate LLM runtimes and optimize inference
- Integrate text-to-speech engines
- Integrate vector databases and APIs
- Iterate based on operational feedback
- Monitor device telemetry and system health
- Operate in evolving environments
- Optimize cost, performance, resource utilization
- Partner with cross-functional teams
- Resolve reasoning, latency, and accuracy issues
- Translate operational requirements into technical plans
Perks/Benefits
- Collaborative environment
- Exposure to edge AI
- Hands-on implementation
- Ownership opportunities
- Real-world deployment
Skills/Tech-stack
AI runtime | Android | CI/CD | Cloud-based | Cloud-based AI | Debugging | Embeddings | End to End | End-to-end system integration | LLM | Logging | Network Troubleshooting | Observability | Performance Tuning | Prompt engineering | Python | RAG | REST APIs | Retrieval optimization | Scalability | Semantic Search | Software Deployment | Speech systems | System Integration | Vector Databases
Education
N/A
Roles
Regions
Countries
States
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