Role Overview
At Deepsolv, we're building AI-native products that help brands make better creative decisions. Our platform combines GenAI, agentic workflows, and large-scale data processing to help marketing teams create, test, and optimize high-performing creatives. We're looking for a Backend Developer who is excited to work at the intersection of AI, scalable systems, and product development.
Responsibilities
- Build and maintain scalable backend services and APIs that power AI-driven products.
- Design systems that integrate seamlessly with LLMs, AI agents, and third-party APIs.
- Develop reliable infrastructure for data processing, automation, and AI workflows.
- Collaborate closely with product, frontend, and AI teams to deliver end-to-end features.
- Contribute to architecture decisions, system design, and performance optimization.
- Experiment with new AI capabilities, agent architectures, and backend technologies.
- Write clean, maintainable, and well-tested code following engineering best practices.
Requirements
- 1+ years of experience in backend development.
- B.Tech/B.E. in Computer Science or a related field (or equivalent practical experience).
- Strong proficiency in Python.
- Experience with backend frameworks such as FastAPI, Django, or Flask.
- Good understanding of REST APIs and backend architecture.
- Familiarity with SQL and NoSQL databases.
- Understanding of caching technologies such as Redis.
- Basic knowledge of distributed systems, asynchronous programming, and microservices.
- Familiarity with Git and software development best practices.
Skills
- Python
- FastAPI
- Django
- Redis
- SQL
Nice to Have
- Experience with cloud platforms such as AWS or GCP.
- Exposure to Docker, Kubernetes, or CI/CD pipelines.
- Familiarity with LLMs, AI agents, RAG systems, or AI orchestration frameworks.
- Contributions to open-source projects or personal engineering projects.
Benefits
- Opportunity to build AI-native products from the ground up.
- Work directly with experienced founders on high-impact engineering problems.
- Exposure to cutting-edge GenAI, LLMs, and agentic systems.
- High ownership, rapid learning, and significant technical growth.
- Competitive salary, ESOP opportunities, and performance-based growth.
- Flexible, remote-first work environment.