Generative AI Engineer

Internally the role is known as Senior Generative AI Engineer / AI Tech Lead

About JiBe:

At JiBe, we are transforming how businesses interact with complex ERP systems through Agentic AI — empowering users to manage operations, data, and decisions through intelligent voice and text agents. Our platform already enables companies to automate purchase orders, risk assessments, reporting, and client interactions — dramatically reducing manual effort and improving operational agility.

We are now expanding our AI innovation team to build the next generation of LLM-powered agentic systems, integrating reasoning, planning, and orchestration capabilities across our global infrastructure

Job Responsibilities

• We’re seeking a Senior Generative AI Engineer / AI Tech Lead to architect, build, and scale JiBe’s multi-agent AI infrastructure — combining cutting-edge LLM technology, AI orchestration frameworks, and real-world business intelligence.
• You will lead the design of agentic frameworks, LLM orchestration pipelines, and AI-driven automation modules, collaborating closely with product and engineering teams to bring our intelligent assistant ecosystem to life.
• This is a hands-on technical leadership role — perfect for someone who thrives in solving complex AI challenges, building from first principles, and mentoring others while driving architectural excellence.
• Design and lead development of JiBe’s Gen-AI architecture — integrating multiple LLM-based agents for reasoning, planning, and business workflow automation.
• Develop and customize orchestration frameworks (e.g., LangChain, AutoGen, CrewAI, Swarm, or custom frameworks) to support multi-agent collaboration and tool usage.
• Build and optimize retrieval-augmented generation (RAG) pipelines to enable intelligent access to structured and unstructured ERP data.
• Engineer autonomous AI “racks” or orchestration layers, integrating reasoning, retrieval, and action agents into robust end-to-end business processes.
• Prototype, evaluate, and deploy LLMs (both open-weight and API-based) for various JiBe use cases: reporting, task automation, insight generation, and customer interaction.
• Lead and mentor AI engineers, ensuring technical excellence, scalability, and maintainability of AI systems.
• Collaborate with data, product, and infrastructure teams to translate user intent into functional agent workflows.
• Continuously evaluate emerging Gen-AI technologies and research, guiding JiBe’s AI strategy and roadmap.

Qualifications

• 7+ years in software or data engineering, with at least 3+ years focused on AI/LLM systems.
• Proven hands-on experience building, fine-tuning, or orchestrating LLM-based systems (e.g., GPT, Claude, Mistral, Llama).
• Strong experience with AI agent frameworks and multi-agent orchestration (LangChain, AutoGen, CrewAI, Swarm, Semantic Kernel, etc.).
• Expertise in Python, API integration, async programming, and cloud-native deployment (Docker, Kubernetes, AWS/GCP/Azure).
• Deep understanding of RAG architectures, vector databases (e.g., Qdrant, Weaviate, Pinecone), and knowledge retrieval systems.
• Experience building AI workflows and pipelines that connect multiple services and tools through reasoning and planning layers.
• Solid grasp of prompt design, tool-augmented reasoning, and model evaluation.
• Strong system design and leadership skills — capable of guiding architecture, reviewing code, and mentoring team members.

Preferred Qualifications

• Knowledge of MCP (Model Context Protocol) or other interoperability standards.
• Experience with LLM training, fine-tuning, or distillation.
• Experience building AI orchestration “racks” or multi-agent ecosystems in production environments.
• Contributions to open-source AI frameworks or libraries.
• Experience integrating AI automation into ERP, CRM, or enterprise workflow systems