Senior Full Stack Engineer in India at Jobgether
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Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Full Stack Engineer in India.
This role sits at the core of building next-generation AI-powered systems that connect fragmented knowledge and enable seamless human–AI collaboration. You will design and operate the backend and platform infrastructure that powers intelligent workflows, ensuring systems are scalable, reliable, and secure. Working in a fast-paced, early-stage environment, you will help shape foundational architecture while directly influencing product direction. The role involves close collaboration with product, design, and research teams to translate complex AI concepts into robust production systems. You will focus on building APIs, distributed services, and data systems that unify contextual information across tools and workflows. This is a high-impact engineering position where ownership, autonomy, and technical depth are essential to success.
In this role, you will take ownership of designing, building, and maintaining the core backend systems and intelligence infrastructure that power scalable AI-driven products.
- Design and develop reliable, versioned APIs that support core product functionality and external integrations.
- Architect and optimize data systems, including relational, vector, and graph-based models for managing interconnected contextual data.
- Build and scale distributed backend services using Python and asynchronous processing frameworks.
- Integrate AI workflows, combining retrieval and generation pipelines to enable context-aware intelligence across the platform.
- Ensure system reliability, security, and compliance through robust access control, monitoring, and fault-tolerant design.
- Operate production systems, including deployment, observability, incident response, and continuous performance optimization.
- Collaborate closely with cross-functional teams to deliver seamless, user-focused product experiences.
The ideal candidate brings strong backend or full-stack engineering experience with a focus on distributed systems, data modeling, and production-grade software delivery.
- 5+ years of experience building and operating backend or full-stack systems in production environments.
- Strong proficiency in Python and experience with modern backend frameworks.
- Deep understanding of SQL and relational database design, with strong data modeling expertise.
- Experience designing distributed, asynchronous, and cloud-native systems at scale.
- Familiarity with vector or graph-based data systems used in search, retrieval, or knowledge-based applications.
- Strong knowledge of cloud infrastructure, including containerization, orchestration, monitoring, and scaling practices.
- Proven ability to own systems end-to-end, from architecture through production operations.
- Strong debugging, observability, and incident management skills with a security-first mindset.
- Excellent communication skills and ability to collaborate effectively with product and research teams.
- Competitive compensation aligned with experience and technical expertise.
- Opportunity to work on cutting-edge AI infrastructure and next-generation workflow systems.
- High autonomy and ownership in a fast-moving, early-stage environment.
- Direct collaboration with experienced product, design, and research teams.
- Flexible work arrangements supporting remote collaboration.
- Strong technical growth exposure in AI systems, distributed architecture, and platform engineering.
- Opportunity to shape foundational systems powering human–AI collaboration.