AI Backend Engineer (Python, Agentic AI)

IT Craft is looking for an experienced AI Backend Engineer to join the development of an AI-powered product focused on delivering personalized user experiences. The engineer will take end-to-end ownership of the AI backend, including architecture, implementation, production setup, monitoring, and continuous improvement.
Key Responsibilities:
Design and evolve production AI architecture covering agent orchestration, routing, tool calling, RAG, memory and structured outputs;
Select and integrate LLM, speech (STT/TTS) and vision models from different providers, balancing quality, latency, cost and EU data residency;
Define the data architecture for conversational, nutrition and wearable data to support personalization and a digital twin;
Translate product requirements into technical solutions and document key architecture decisions together with product owners;
Develop and extend the Python-based AI backend, including voice pipelines with real-time latency requirements;
Set up cloud infrastructure, containers, vector stores and model gateways using infrastructure-as-code in collaboration with the DevOps/CI-CD engineer;
Build integrations for wearable APIs, food databases and image-recognition services;
Implement user memory and personalization, including adaptation to communication style;
Set up LLM observability for tracing, token and cost tracking, latency, error rates and alerting;
Build automated evaluation and regression processes for prompts and agents, including offline evaluations, LLM-as-a-judge and human review;
Implement guardrails and safety mechanisms for health-related conversations, including escalation logic and hallucination controls;
Monitor model and prompt performance in production and continuously improve models, prompts and agent behavior;
Ensure GDPR-compliant handling of sensitive health data (special category data), including EU hosting, encryption, access control, data minimization and deletion;
Keep the architecture prepared for EU AI Act requirements and the wellness/medical-device boundary (MDR);
Build the data foundation for personalization, experimentation and future predictive models.
Required Skills:
6+ years of experience in software or ML engineering, with at least 2 years of hands-on experience building and running LLM-based systems in production;
Strong proficiency in Python, with solid SQL and data modeling skills;
Hands-on experience designing and implementing agentic systems using orchestration frameworks such as LangGraph or similar, including tool calling, structured outputs, RAG, and long-term memory;
Experience working with multiple LLM providers and model gateways, as well as prompt engineering and context engineering at scale;
Practical LLMOps experience covering evaluation frameworks, observability, and optimization of cost and latency;
Experience with Docker, Kubernetes or managed container services, infrastructure-as-code, and CI/CD;
Good understanding of security and data protection requirements when working with sensitive personal data;
Ability to independently own architecture decisions and collaborate effectively with product and engineering teams;
Strong written and spoken English (Upper-Intermediate+ / Advanced).
Nice to have:
Experience with real-time voice AI, including streaming STT/TTS, speech-to-speech models, and latency optimization;
Experience working with health, fitness, or wearable data, including time-series data and APIs such as HealthKit / Health Connect;
Experience with personalization, recommendation systems, A/B testing, and statistics;
Experience with vision models for food recognition;
Experience in regulated environments such as GDPR Art. 9, EU AI Act, MDR or ISO 27001.
IT Craft offers:
Competitive compensation according to the qualifications.
Flexible working hours, remote work;
Opportunity for career growth;
Reward for sport activities;
In-house English training;
A friendly team of open-minded people.
Please send your CV!
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