The Opportunity
We are looking for a strong Senior Backend & Platform Engineer to join us at an early stage of this technology initiative.
The successful candidate will initially work closely with our existing technology development partner to understand the current architecture, codebase, databases, cloud environment, AI integrations and deployment processes.
Over time, the person will become one of the key internal technical owners of the platform and will have the opportunity to grow into a Lead Backend Engineer / Platform Lead role as the internal technology organisation expands.
Key Responsibilities
You will:
- Take progressive ownership of the backend and platform architecture.
- Work closely with our current development partner during product development, technical reviews, UAT and handover.
- Understand and take ownership of the existing codebase, APIs, databases, AI integrations and cloud infrastructure.
- Design and develop scalable backend services for an AI-enabled healthcare platform.
- Build and maintain APIs connecting application, AI, search/retrieval, knowledge and data services.
- Work with multi-stage AI workflows involving query processing, information retrieval, context assembly, response generation and validation.
- Build and maintain document-ingestion, processing, indexing, metadata and version-management pipelines.
- Develop secure authentication, role-based access control and enterprise access architecture.
- Design scalable database schemas suitable for future enterprise deployments.
- Improve application reliability, performance, logging, observability and error handling.
- Build automated unit, API and integration tests.
- Participate actively in architecture reviews and code reviews.
- Work closely with AI/ML, frontend, data, product and domain-expert teams.
- Maintain strong technical documentation and engineering standards.
- Support the gradual transition of technology ownership from the external development partner to the internal Centrix team.
- Mentor future engineers and contribute to building the internal engineering organisation.
What We Are Looking ForEssential
- 6–10 years of software engineering experience.
- Minimum 4+ years of strong hands-on backend development experience in Python.
- Experience with frameworks such as FastAPI, Django, Flask or similar.
- Strong experience designing and building REST APIs.
- Good understanding of backend architecture and distributed systems.
- Strong knowledge of relational databases, preferably PostgreSQL.
- Experience with Redis or similar caching/message infrastructure.
- Experience with AWS or another major cloud platform.
- Hands-on experience with Docker/containerised applications.
- Good understanding of CI/CD and modern software-development practices.
- Experience working on a production-grade SaaS, AI or data-intensive product.
- Strong debugging and problem-solving ability.
- Ability to understand an existing codebase and progressively take ownership rather than expecting to rebuild everything from scratch.
Strongly Preferred
Experience in one or more of the following would be valuable:
- LLM-based applications
- Retrieval-Augmented Generation (RAG)
- Semantic search
- Embeddings
- Vector databases such as Qdrant, Pinecone, Weaviate or pgvector
- Document-processing / knowledge-ingestion pipelines
- Elasticsearch / OpenSearch
- Kubernetes
- Event-driven architecture
- Observability and monitoring platforms
- Multi-tenant SaaS architecture
- Healthcare, life sciences, scientific-information or knowledge-management platforms
Healthcare experience is preferred but not mandatory. Strong backend and platform-engineering fundamentals are more important.
What This Role Is Not
This is not primarily:
- a prompt-engineering role
- a pure data-science or ML-research position
- an IT-support role
- a maintenance-only backend position
- a project-management role
We are looking for someone who wants to understand, build and progressively own a sophisticated AI-enabled product platform.
What You Will Work On
The platform includes technology areas such as:
AI-enabled information retrieval
Search, retrieval, contextual information processing and structured AI-generated outputs.
Knowledge infrastructure
Document ingestion, metadata, version management, citations and information provenance.
Backend platform
APIs, databases, authentication, enterprise access, user management and scalable application services.
AI platform integration
Integration between foundation models, retrieval systems, structured data and application workflows.
Quality and reliability
Validation, monitoring, traceability, testing and production observability.
The Kind of Person We Would Like to Meet
We would particularly like to meet someone who:
- has worked in a strong product-engineering environment
- remains hands-on with technology and code
- understands architecture rather than only individual development tasks
- enjoys taking ownership
- can challenge technical decisions constructively
- is comfortable learning and improving an existing architecture
- can work effectively with AI engineers, product teams and domain experts
- values reliability, documentation and engineering discipline
- wants to play a meaningful role in building an internal technology organisation from an early stage
Compensation
₹18–30 LPA, depending on experience, technical depth and role fit.
For exceptional candidates with strong platform ownership experience and relevant AI/RAG exposure, compensation may be considered beyond the standard range.
Job Type: Full-time
Pay: ₹1,800,000.00 - ₹3,000,000.00 per year
Benefits:
- Paid sick time
- Paid time off
Ability to commute/relocate:
- Andheri West, Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Required)
Application Question(s):
- Have you independently owned the backend architecture of a production product or major module, including APIs, databases and deployment? Please describe briefly.
- Have you worked with AWS and containerised applications using Docker or Kubernetes?
- Have you worked with LLMs, RAG, semantic search or vector databases in a production environment?
- Are you comfortable taking ownership of an existing codebase developed by another engineering team?
- What is your current and expected CTC?
Experience:
- software engineering: 6 years (Required)
- hands-on backend development in Python: 6 years (Required)
Work Location: In person
