Senior Back-End Engineer

February 19

Apply Now

Receive Emails with Similar Jobs

Downing Capital Group

WebsiteLinkedInAll Job Openings

Downing Capital Group is a venture capital firm that focuses on conceiving, backing, and scaling innovative business ideas for the future. They work closely with visionary entrepreneurs from the idea stage through to execution, providing funding, operational support, talent acquisition, and mentorship to ensure success. Downing Capital Group is dedicated to reducing risks associated with new ventures by extensively vetting business concepts and providing multi-year funding runways. They also offer a strong network and community support to their portfolio companies, ensuring leaders have the resources and guidance they need to thrive.

2 - 10 employees

💸 Finance

📋 Description

• Architect and develop scalable back-end Python-based services and APIs for ML/GenAI applications. • Optimize and deploy ML models in production environments with a focus on efficiency and performance. • Design and implement containerized solutions using Docker and Kubernetes for scalable deployments. • Develop and maintain cloud-native infrastructure on AWS/GCP/Azure. • Implement monitoring, logging, and security best practices for reliable production systems. • Work closely with front-end engineers, ML researchers, and product teams. • Optimize database performance and work with NoSQL and SQL databases for handling large-scale data processing. • Participate in code reviews, mentoring, and knowledge sharing with the team.

🎯 Requirements

• 7+ years of professional experience in Python development (FastAPI, Flask, Django, etc.). • Deep experience working with Langchain. • Strong hands-on expertise in Machine Learning (ML) and Generative AI (LLMs, embeddings, vector databases, fine-tuning and distillation of models, etc.). • AI agent development & AI agent frameworks. • Hands-on experience in running modern GenAI applications in production. • Hands-on experience with Docker and Kubernetes for scalable microservices. • Proficiency in cloud platforms (AWS, GCP, or Azure) and cloud-native development. • Experience with CI/CD pipelines and automation tools for streamlined deployment processes. • Deep knowledge of distributed systems and Python data processing frameworks. • Strong understanding of API design and RESTful/GraphQL services. • Proficiency in working with databases, including PostgreSQL, Redis, and vector databases (e.g., Pinecone, Weaviate). • Strong problem-solving skills and the ability to work in a fast-paced, autonomy-biased startup environment.

🏖️ Benefits

• Competitive compensation, equity options, and remote-first culture. • Opportunities for professional growth and technical leadership.