Job Description
Role Overview :
We are seeking an AI Engineer to design, build, and deploy intelligent agent systems and production-grade AI solutions. This role focuses on creating agentic AI workflows, multi-agent orchestration, and retrieval-augmented generation systems for enterprise applications.
Key Responsibilities :
– Design and implement single-agent and multi-agent workflows using frameworks like Google ADK
– Build end-to-end RAG pipelines with proper document chunking, embeddings, and retrieval strategies
– Develop evaluation frameworks to measure agent accuracy, coherence, and task success
– Architect scalable multi-agent systems with clear communication patterns and orchestration
– Implement observability and monitoring for tracking performance, cost, and quality
– Build real-time voice AI agents with STT, TTS, and multimodal capabilities
– Deploy and containerize AI systems for production environments
Required Skills :
– Strong understanding of LLM fundamentals and agent architectures
– Hands-on experience with agent frameworks (Google ADK preferred)
– Proficiency in Python, FastAPI, and async programming
– Experience with vector databases, embeddings, and similarity search
– Knowledge of containerization and production deployment
– Familiarity with observability tools and evaluation frameworks
Preferred Qualifications :
– Experience building production multi-agent systems
– Knowledge of real-time voice AI systems
– Understanding of human-in-the-loop and long-running task patterns
– Background in enterprise AI applications
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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