Senior AI Python Developer
We are seeking a highly skilled and innovative Senior AI Python Developer with expertise in multi-agent architectures, autonomous systems, and large-scale AI implementations. In this role, you will be responsible for designing, developing, and optimizing intelligent agents that can collaborate, reason, and act independently or as part of an orchestrated system within our enterprise software platform.
Collaborations
- Work alongside AI scientists, full-stack engineers, and product teams.
- Build solutions in areas such as process automation, compliance, and digital transformation.
Key Responsibilities
🧠 Architecture & Development
- Design and implement scalable multi-agent system architectures using Python and modern AI frameworks.
- Develop intelligent agents capable of autonomous reasoning, memory, planning, and collaboration.
- Integrate agents with LLMs, APIs, databases, and workflow engines.
- Create reusable Python libraries and services supporting agent orchestration and decision logic.
🔄 AI Modeling & Systems Engineering
- Implement and optimize components such as task managers, planners, vector memory stores, and agent communication protocols.
- Leverage LLMs (OpenAI, Anthropic, HuggingFace) with symbolic reasoning or rule-based modules.
- Build simulations to test agent coordination, negotiation, and autonomy.
🛠️ Collaboration & Delivery
- Collaborate with product managers and UX teams for translating workflows.
- Work with DevOps for deploying and monitoring in production (Docker, Kubernetes).
- Participate in code reviews, architecture discussions, and sprint planning.
Required Skills & Experience
- 5+ years of experience in Python development with focus on AI or intelligent systems.
- Deep understanding of multi-agent systems: autonomy, communication, coordination.
- Experience with AI frameworks such as LangChain, Haystack, AutoGen, LlamaIndex, RAG systems.
- Strong knowledge of data structures, algorithms, and concurrency.
- Experience with LLMs, vector databases, retrieval-augmented generation, or knowledge graphs.
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Preferred Qualifications
- Experience with agentic frameworks like LangGraph, ADK, OpenAgents, AutoGPT, CrewAI, ReAct, AutoGEn, SmolAgents, Semantic Kernel.
- Background in reinforcement learning, planning, or cognitive architectures.
- Exposure to enterprise SaaS platforms in regulated industries.
Why Join Us?
- Work on cutting-edge AI + Automation technology with real-world enterprise impact.
- Collaborate with passionate innovators.
- Competitive compensation, flexible environment, and growth opportunities.
About Us
Interfacing is a global leader in quality, compliance, and digital transformation solutions. Leading in AI and innovation, Interfacing offers tools and services for sustainable growth and operational excellence, especially in navigating digital transformation in regulated industries.
Job Highlights
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