Senior Full Stack Engineer (Visakhapatnam)

About This Role

As a Senior Full Stack Engineer with a backend focus, you will design and build the core services, APIs, and data flows that power the orchestration platform. You’ll work closely with product, AI/ML, and customer-facing teams to turn ambiguous, high-impact problems into reliable systems that scale across customers and use cases. You thrive in an environment where you can own complex backend domains end-to-end, move quickly with clear tradeoffs, and still care deeply about the developer and customer experience at the edges of your work.

This Role Will Be a Good Fit For You If:


- You’re skilled at understanding what customers really need and turning that into experiences that both delight and scale.


- You can work autonomously: you can break down large, ambiguous problems into concrete next steps while keeping a long-term vision in mind.


- You communicate clearly in writing and in person, tailoring your message to the audience and focusing on what matters most.


- You share ownership easily and enjoy collaborating with a diverse, cross-functional team.


- You’re strong at debugging, comfortable with unfamiliar tools and systems, and able to operate effectively under pressure.


- You move with purpose: you’re decisive, focus on high-impact work, and maintain healthy, sustainable work habits.

Requirements What You'll Do


- Build and maintain robust backend services and RESTful APIs using Django and Python.


- Develop and enhance AI workflow orchestration services for life sciences applications.


- Implement microservices for AI model integration and real-time data processing pipelines.


- Develop and maintain the LangGraph-based workflow execution engine, enabling capabilities like partial execution, single-node debugging, and dynamic control flow.


- Design and optimize database schemas to handle complex scientific data and workloads.


- Optimize API performance to support real-time collaboration and data visualization.


- Implement GraphQL services for productive data fetching and manipulation.


- Build authentication and authorization systems for secure access to scientific data.


- Develop responsive frontend interfaces using React, TypeScript, and Next.js when needed.


- Create and maintain data processing pipelines for scientific workflows.


- Collaborate with AI/ML engineers and product teams to ship features that delight customers.


- Participate in code reviews, technical design, and planning to ensure reliability and maintainability.


- Design and implement caching strategies for high-performance data access.

-

Technical Requirements Core Skills (Must Have)


- 5+ years of professional experience with backend development.


- Solid experience with Django and Python in production environments.


- Strong experience with Kubernetes and container orchestration in production.


- Experience developing AI/ML workflows and orchestration systems.


- Proficiency in building RESTful APIs and GraphQL services.


- Comfort working with git submodules and multi-repo setups.


- Strong understanding of SQL databases and scientific or complex data modeling.


- Experience scaling microservice architectures for data- or compute-intensive applications.


- Understanding of containerization concepts (e.g., Docker) for development and deployment.


- Experience with real-time data processing and streaming systems.


- Strong communication skills and ability to work in a fast-paced environment.


- Experience with frontend technologies (React, TypeScript) and willingness to work across the stack as needed. Apply on Kit Job: kitjob.in/job/4nafmx