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AI Engineer Voice + Agentic Systems
hace 3 semanas
AI Engineer - Voice & Agentic Systems (GraphRAG)
Contract | 3–6 Months (Extension Based on Performance)
Start: January 2026
We are building a voice-enabled, agentic AI investment platform designed for complex, high-stakes decision environments.
The core architecture is Advanced GraphRAG, enabling AI agents to reason over structured relationships, provenance, and context—not just retrieve text.
This role is for an engineer who already understands traditional RAG and reasoning agents as a baseline, and is excited to apply those concepts to graph-based retrieval and voice-driven workflows.
You will work hands-on building production-grade agent systems, supported by open-source materials and reference architectures to accelerate development.
What You'll Do
- Build
reasoning AI agents
using GraphRAG (knowledge graphs + retrieval) - Develop
voice-enabled agent workflows
(speech → reasoning → structured output) - Design
advanced RAG pipelines
(graph + vector retrieval) - Implement
tool calling, memory, and agent orchestration - Work hands-on with production-grade agent systems
Required Experience
- Strong understanding of
traditional RAG
(embeddings, vector DBs, retrieval strategies) - Experience with
agentic AI systems
(planning, tool use, memory, control loops) - Hands-on
LLM-centric development - Ability to design, debug, and iterate non-deterministic systems
Nice to Have
- Knowledge graphs or GraphRAG experience
- Entity extraction and relationship modeling
- Voice, speech-to-text, or conversational AI experience
Tech Stack (Flexible)
- Python or TypeScript
- Open-source RAG & agent frameworks
- Graph & vector databases
- Cloud platforms (AWS, GCP, or Azure)
What We Value
- Strong problem-solving and system design skills
- Ability to learn fast and work with ambiguity
- Ownership and delivery mindset
High performance may lead to
contract extension or expanded scope