Founding Senior Software Engineer

Accountabilities

• Architect, design, and develop core software systems, making key technical decisions across the technology stack while balancing immediate product needs with long-term scalability.

• Own feature development end-to-end, from technical design and implementation to deployment, monitoring, and continuous improvement.

• Integrate AI and machine learning capabilities into production workflows, including large language models (LLMs), retrieval-augmented generation (RAG) pipelines, embeddings, prompt execution, agentic systems, and fine-tuned models.

• Build scalable, reliable, and maintainable systems capable of supporting significant business growth while making pragmatic infrastructure and architecture decisions.

• Develop high-performance APIs, backend services, and internal interfaces that power the product, ensuring reliability, security, and a seamless customer experience.

• Design and improve data processing systems, distributed architectures, and real-time pipelines to efficiently ingest, process, and analyze large volumes of information across text, audio, and video.

• Collaborate closely with the engineering team and other stakeholders to translate product requirements into effective technical solutions.

• Deliver features rapidly, gather user feedback, and iterate continuously to improve product functionality and performance.

• Contribute to engineering best practices, technical standards, and infrastructure decisions that support the team's continued growth.

Requirements:

• At least 3 years of experience building, deploying, and scaling production-grade software systems, with strong foundations in backend engineering, services, data modeling, and distributed systems.

• Deep expertise in at least one technical area, combined with a willingness to expand your knowledge across the broader engineering stack.

• Proficiency in one or more relevant backend technologies, such as Python, TypeScript, and PostgreSQL, with an understanding of high-concurrency systems.

• Experience with cloud infrastructure, preferably AWS or GCP, as well as containerization technologies such as Docker and Kubernetes and modern CI/CD pipelines.

• A strong understanding of software architecture, system reliability, performance optimization, and designing solutions that can scale with business needs.

• Expertise in one or more of the following areas:

  • Data Engineering: Experience with Spark, Kafka, Flink, BigQuery, large-scale ETL processes, or streaming data pipelines.

  • Distributed Systems: Knowledge of high-volume systems, fault tolerance, scalability, and eventual consistency.

  • AI and Machine Learning: Hands-on experience deploying LLMs, RAG pipelines, embeddings, fine-tuned models, or optimized inference systems in production.

  • Backend Engineering: Experience developing robust APIs, backend services, and high-performance applications.

  • A strong product-oriented mindset, with enthusiasm for building quickly, shipping features frequently, and incorporating user feedback into continuous improvement.

  • Excellent communication skills and the ability to collaborate effectively with engineers and cross-functional stakeholders.

  • A proactive, autonomous approach to problem-solving, with the confidence to take ownership of technical decisions and contribute to the direction of a growing engineering organization.

  Benefits:

  • Meaningful ownership: Play a foundational role in shaping the product, engineering architecture, and technical direction of a growing startup.

  • High-impact work: Deliver new features and capabilities directly to a growing customer base, with a clear connection between your work and business outcomes.

  • Technical autonomy: Influence decisions across the technology stack and choose practical solutions that balance innovation, performance, and scalability.

  • AI-driven innovation: Work hands-on with modern AI technologies, including LLMs, RAG, embeddings, and agentic systems, to solve real-world problems.

  • Strong engineering environment: Collaborate with an experienced, ambitious engineering team with backgrounds at leading technology companies.

  • Fast development cycles: Build, ship, and iterate rapidly, with opportunities to see your work reach customers without unnecessary bureaucracy.

  • Startup growth opportunity: Help establish the technical foundations of an expanding business and grow alongside the product and engineering organization.

  • Remote work: The role is advertised for Romania, offering the opportunity to contribute in a remote-first working environment.