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Gugu RoboticsAI Engineer – AI System Calibration, Optimization
AI Engineer specializing in AI system calibration and optimization for clients. Working directly with engineering teams to improve AI models and workflows in Azure environment.
About the role
- Design and implement LLM-based autonomous agents with planning, reasoning, tool-use, and long-term task decomposition.
- Engineer context- and memory-rich agents that integrate structured data, external APIs, and conversational context to optimize outcomes.
- Build production-scale multi-agent orchestration frameworks (e.g., LangGraph, Pydantic AI, Google ADK, CrewAI) for campaign creation, optimization, and tracking in distributed microservices architectures.
- Implement agent-to-agent (A2A) communication protocols using Model Context Protocol (MCP) to enable tool discovery and dynamic peer-to-peer task delegation.
- Develop microservice-based, cloud-native infrastructure for autonomous agent deployment using Docker/Kubernetes and cloud platforms (AWS/GCP) with observability tooling.
- Ensure enterprise-grade performance, monitoring, fault tolerance, and scalability for agent systems supporting large-scale fundraising workflows.
- Design prompt strategies, agent memory architectures, and vector/graph database implementations to maintain context across multi-turn conversations and long-running campaign lifecycles.
- Architect and optimize vector and graph database integrations (e.g., Pinecone, Weaviate, ChromaDB) for agent memory and semantic recall.
- Build custom agentic frameworks for campaign storytelling, optimization, and donor engagement, integrating with platform APIs, knowledge graphs, and external systems.
- Build and scale LLM evaluation pipelines including human-in-the-loop and automated frameworks; embed safety, fairness, transparency, and real-time guardrails and auditing mechanisms.
Requirements
- 6+ years in software engineering, with 3+ years hands-on building production-grade AI/ML systems.
- Deep expertise in LLM agent frameworks (LangGraph, Google ADK, CrewAI, AutoGen, Pydantic AI, LangChain).
- Proven ability to architect agentic systems from scratch, including planning, reasoning flows, and multi-agent orchestration.
- Strong Python and TypeScript skills.
- Experience in microservices and distributed infrastructure.
- Familiarity with vector databases (Pinecone, ChromaDB), knowledge graphs (Neo4j, Graphiti), and RAG pipelines.
- Deep autonomous agent architecture knowledge including advanced reasoning, planning, task decomposition, multi-step automation, and tool-use patterns.
- Enterprise integration expertise with RESTful APIs, agent-to-agent (A2A) interoperability, webhook systems, and Model Context Protocol (MCP) tools.
- Production experience with cloud-native infrastructure (Docker, Kubernetes) and cloud platforms (AWS/GCP).
- Demonstrated experience with reinforcement learning, agent optimization, and agent evaluation techniques.
- Strong understanding of agent safety, bias mitigation, transparency, and ethical design practices.
Benefits
- Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
- Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
- Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
- Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
- Holistic Support: Financial assistance for hybrid work, family planning, generous parental leave, flexible time-off policies, and mental health and wellness resources.
- Growth Opportunities: Participate in learning, development, and recognition programs.
- Commitment to DEI: Ongoing diversity, equity, and inclusion initiatives and employee resource groups.
- Community Engagement: Volunteering and Gives Back programs.
- Reasonable accommodation for application or interview (contact [email protected]).
Job title
Job type
Experience level
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Degree requirement
No Education Requirement
Tech skills
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