Senior Software Engineer - Python

FlowX.AI is an agentic AI platform for large-scale, mission-critical applications. We started in regulated industries - banking and insurance - and have successfully landed major deals in government and defense. We're now expanding into new verticals including logistics, manufacturing, healthcare, and construction. Our platform enables large organizations to deploy, run, and monitor mission-critical AI agents at scale. We provide the governance layers and robustness that AI agents need to operate reliably across the most important business processes. Mission We're building high-performance agents using a modern tech stack, and we're looking for a world-class engineer to help us push the limits. What you would do on a daily basis Design, build, and own high-performance, low-latency Python microservices and Lambda-based actors that power our AI-driven architecture Lead initiatives to modernize and improve our backend systems, with a focus on gRPC communication, scalability, and observability Develop and implement serverless functions to handle CPU/GPU-intensive workloads, integrating seamlessly with our AI toolchains Own performance benchmarking, observability, and KPIs for your components, proactively addressing bottlenecks and optimizing throughput Collaborate closely with product, design, and frontend teams to ensure your work delivers meaningful value to users Contribute to the evolution of our AI integration platform by integrating technologies like LangChain, LangGraph, and other ML/AI frameworks Take full accountability for the delivery and quality of your work, including testing strategies like TDD, ATDD, and BDD Who you are Experience: 5+ years of professional software development experience, including 3+ years working with scalable microservices in both on-premise and cloud environments Programming: Deep expertise in Python is essential. Bonus points for experience with Java, FastAPI, or Django Architecture: Strong grasp of microservices, serverless design, and system-level trade-offs (e.g., CAP theorem) Testing: Proven record of applying automated testing practices, including TDD, ATDD, and BDD Data: Hands-on experience with relational, NoSQL, key-value, and graph data stores Infrastructure: Familiarity with Kafka, OAuth 2, mTLS, zero-trust architectures, and containerized deployments Version Control: Proficiency in Git; experience working with monorepos is a plus AI Integration: Exposure to frameworks like LangChain, LangGraph, TensorFlow, or PyTorch is highly desirable Mindset: Practical problem-solving skills with a bias for action and delivery. You avoid over-engineering and focus on impact What's in it for you A rare opportunity to shape the evolution of a fast-growing product at the forefront of AI and enterprise modernization A seat at the table: your insights will directly influence our architecture, roadmap, and culture Exposure to international projects and large enterprise clients from day one Early-stage equity package, with the opportunity to grow alongside the company Location Bucharest - hybrid or onsite