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Sr. Backend Engineer – GenAI

Wohlig Transformations Pvt Ltd Verified employer

Actively hiring · Posted 6d ago · JEV2610CB453510ED

Salary₹8,00,000 – ₹18,00,000 per year
Experience4–6 yrs
LocationMumbai, Maharashtra
Work modeOffice · Full time
Openings1

Job description

Job OverviewArchitect and build scalable, high-performance backend systems while working on mission-critical platforms that process real-time market data and portfolio analytics. The role also involves leveraging Generative AI capabilities to enhance data intelligence, automation, and user-facing features, while ensuring regulatory compliance and secure financial transactions.Key ResponsibilitiesDesign, develop, and maintain scalable backend services and APIs using NodeJS and PythonBuild event-driven architectures using RabbitMQ and Kafka for real-time data processingDevelop and manage data pipelines integrating PostgreSQL and BigQuery for analytics and warehousingIntegrate and deploy Generative AI models (LLMs, embeddings, AI APIs) into backend systems for automation, insights, and intelligent workflowsDesign AI-powered features such as recommendation systems, document processing, or conversational interfacesEnsure system reliability, security, and low-latency performance for mission-critical systemsLead technical design discussions, conduct code reviews, and mentor junior engineersOptimize database queries, implement caching strategies, and improve overall system performanceCollaborate with cross-functional teams to deliver end-to-end product featuresImplement monitoring, logging, and observability solutionsRequired Skills and Qualifications2+ years of professional backend development experienceStrong expertise in NodeJS and Python for production-grade applicationsProven experience building RESTful APIs and microservices architecturesExperience working with Generative AI frameworks/APIs (OpenAI, LangChain, vector databases, prompt engineering)Understanding of integrating LLMs into production systems (RAG, embeddings, fine-tuning basics)Strong proficiency in PostgreSQL, including query optimization and schema designHands-on experience with RabbitMQ and KafkaExperience with BigQuery or similar data warehousing solutionsSolid understanding of distributed systems, scalability patterns, and high-traffic applicationsStrong knowledge of authentication, authorization, and security best practicesExperience with Git, CI/CD pipelines, and modern development workflowsExcellent problem-solving and debugging skillsExposure to fintech or financial services, cloud platforms (GCP/AWS/Azure), Docker/Kubernetes, caching tools (Redis/Memcached), and regulatory requirements (KYC, compliance, data privacy) is a plusApply directly at: [hidden]

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