Job Overview
We are seeking a skilled AI Engineer to join our team. This role will involve designing, developing, and deploying serverless/containerised AI applications using Python and cloud-native services.
The successful candidate will have a strong grasp of software engineering principles and DevOps practices, with hands-on experience with AWS/Azure and proficiency in FastAPI for building RESTful APIs.
Key Responsibilities:
* Design, develop, and deploy serverless/containerised AI applications using Python and cloud-native services.
* Build AI Agents that work seamlessly with existing production systems.
* Collaborate with multiple teams across the organisation to integrate the different systems.
* Analyse system performance, identify bottlenecks, and implement improvements to enhance scalability and reliability.
* Monitor and troubleshoot issues including timeouts and connectivity problems.
Requirements:
* Strong grasp of software engineering principles and DevOps practices.
* Hands-on experience with AWS/Azure.
* Proficiency in FastAPI for building RESTful APIs.
* Strong understanding of cloud-native architecture and microservices.
* Basic understanding of LLM/MLOps and monitoring AI systems.
* Demonstrated understanding of complex system integrations.
* Experience working in enterprise-level IT environments.
* Experience on AWS ecosystem (Lambdas, Gateway, Fargate, etc.).
* Experience working with Snowflake, SAP, ServiceNow, Salesforce.
* Experience working with LLM frameworks (e.g., LangChain, LlamaIndex).
* Experience analysing latency, improving scalability, checking timeouts, etc. (network infrastructure).
* Knowledge of prompt engineering and optimisation techniques.
* Understanding of A2A and MPC protocol.
* Familiarity with agent evaluation frameworks and testing methodologies.
* Experience with vector databases and retrieval systems.
* Awareness of RPA tools like UI Path, Power Automate.
What We Offer:
* A hybrid and flexible working model to promote a better work-life balance.
* Health insurance, access to our on-site medical center, and the chance to join sports groups.
* Access to online learning platforms and discounts with our partners.
* A shuttle bus to commute to the facilities and the possibility of financial support to your studies.
At Siemens, we strive to create an inclusive environment where everyone feels valued and empowered to succeed. If you're passionate about innovation and want to be part of a dynamic team, apply now to become our AI Engineer."],