Software engineer, generative AI
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Requirements
• 3+ years of hands-on experience as a software engineer, with a strong emphasis on Python development in production environments. We are open to discussing seniority levels from Senior to Staff. • Proven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases (e.g., Pinecone, Weaviate, pgvector), and modern open source agentic Frameworks. • Deep understanding and practical experience with microservices architecture, RESTful APIs, and cloud platforms such as AWS, GCP, or Azure, including containerization with Docker and Kubernetes • Solid grasp of modern web technologies including FastAPI, Asyncio, and database systems like PostgreSQL • A "Connect" mindset, thriving in collaborative settings where you actively engage with cross-functional teams and mentor junior engineers to achieve shared goals • A "Challenge" spirit, demonstrating exceptional problem-solving skills to tackle complex technical hurdles and proactively suggest innovative improvements to our systems and processes • An "Own" attitude, taking full accountability for delivering high-quality, resilient, and scalable code from conception through to production, continuously driving performance and maintainability
Responsibilities
• Design and develop robust, scalable, and secure generative AI services and applications using Python and modern frameworks to drive enterprise-wide transformation • Build and optimize high-performance, low-latency APIs and microservices for integrating advanced AI models and agentic workflows into our platform • Collaborate closely with product managers, data scientists, and cross-functional engineering teams to translate complex business needs into innovative AI solutions, from concept to production • Implement and maintain responsive user interfaces (primarily focused on backend enablement though some frontend interaction is expected) using technologies like React and TypeScript to deliver intuitive user experiences • Partner with DevOps teams building continuous deployment, logging and monitoring; ensuring top-tier performance and reliability • Own key architectural components, ensuring best practices in code quality, security, and maintainability through rigorous testing and peer reviews
Benefits
• Generous PTO, plus company holidays • Comprehensive medical and dental insurance • Paid parental leave for all parents (12 weeks) • Fertility and family planning support • Early-detection cancer testing through Galleri • Competitive pension scheme and company contribution • Annual work-life stipends for: • Wellness stipend for gym, massage/chiropractor, personal training, etc. • Learning and development stipend • Company-wide off-sites and team off-sites • Competitive compensation and company stock options