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AI Engineer
Job Location:
Monthly Salary:
Posted:
2 November 2026 (2 days ago)
Posted:
Application Deadline:
30 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
| Job Purpose | We are looking for a Senior AI Engineer (Backend) to build and scale the core backend systems for an enterprise conversational AI platform. The role focuses on designing reliable APIs managing conversational state integrating AI services and ensuring security auditability and performance at scale. You will work closely with UI SDK and AI teams to deliver a backend that supports dynamic multimodal and highly personalized user interactions in a regulated NBFC environment. |
| Duties and Responsibilities | Backend Development & API Design Design and develop backend services to support conversational workflows and AI-driven user journeys. Build APIs for managing sessions conversational state user context and capability flags. Integrate backend systems with LLM services vector databases and internal enterprise APIs. Ensure backend services support multimodal inputs and outputs (text voice image file). Architecture & System Design Contribute to the design of modular scalable and extensible backend architectures. Implement configuration-driven approaches over hardcoded business logic wherever possible. Ensure clean separation between orchestration logic business rules and infrastructure concerns. Support channel-aware behavior for mobile SDK and web environments. Performance Security & Reliability Optimize backend services for low latency and high throughput. Implement secure data handling PII masking and access controls. Ensure proper error handling retries and graceful degradation. Design systems with high availability backup and disaster recovery considerations. Audit Analytics & Observability Implement audit logging for all user actions and system decisions. Integrate analytics events to support product insights and monitoring. Ensure traceability of user intents decisions and backend responses. Support monitoring alerting and production issue diagnosis. Collaboration & Delivery Work closely with frontend SDK and AI teams to align backend contracts and schemas. Participate in code reviews design discussions and technical planning. Contribute to CI/CD pipelines and production deployments. |
| Key Decisions / Dimensions | Backend & API Decisions Defining API contracts for conversational state UI schemas and capability flags. Choosing data models and storage strategies for session and journey state. Deciding synchronous vs asynchronous processing for AI and backend integrations. Determining retries timeout and fallback strategies for external dependencies. Architecture & Performance Decisions Selecting appropriate caching persistence and messaging mechanisms. Deciding how to scale backend services for peak load and concurrency. Making trade-offs between performance consistency and complexity. Ensuring all backend features support feature enable/disable and rollback. Security & Reliability Decisions Deciding what data is stored logged masked or excluded. Implementing access controls and validation for all inbound requests. Ensuring services meet availability backup and recovery requirements. |
| Major Challenges | Managing conversational state and context across long-running multi-step user interactions. Supporting low-latency responses while integrating multiple internal and external systems. Designing backend systems that work consistently across trusted (mobile SDK) and untrusted (web) channels. Ensuring security auditability and compliance in a highly regulated environment. Handling evolving AI behaviours without breaking backend contracts or user journeys. Maintaining system stability while the platform rapidly evolves. |
| Required Qualifications and Experience | Educational Qualifications Bachelors degree in computer science Engineering or related field. 0-3 years of hands-on backend development experience. Technical Skills Strong proficiency in Python LangChain LangGraph for backend and AI service development. Hands-on experience building agentic systems and AI orchestration workflows. Experience designing APIs using REST and/or GRPC including streaming APIs for real-time conversational flows. Expertise in prompt engineering structured system instructions and response control for LLMs. Experience managing session and context state for multi-step conversational workflows. Hands-on experience with PostgreSQL Redis and other persistent or in-memory stores for session embeddings and caching. Experience integrating AI/ML platforms vector databases and other external services. Ability to design scalable backend solutions to support high concurrency low-latency multimodal AI interactions. Familiarity with cloud platforms containerized deployments (Docker/Kubernetes) and serverless architectures. Performance Security & Quality Experience optimizing backend performance for AI pipelines including concurrency streaming and memory usage. Strong understanding of secure coding practices data privacy and compliance (PII masking audit logging). Experience implementing observability: logging metrics tracing and alerting for AI workflows. Familiarity with CI/CD pipelines automated testing and production deployment best practices. Experience implementing fallback strategies retries and graceful degradation for AI/LLM services. |
Required Experience:
IC
About Company
Bajaj Finserv is India’s most diversified non-banking finance company. Visit the website to learn about our products. Get instant approval on loans, shop on EMIs, make an investment, get insurance and pay your bills.
