Software Engineer

Accumn - a Yubi company is India s most advanced AI-first credit decisioning platform integrating machine learning (ML) and generative artificial intelligence (GenAI) to empower credit managers with precise data-driven tools for fair and transparent lending decisions. Formed through the strategic consolidation of Corpository and FinFort Accumn offers a comprehensive suite of solutions to support the entire credit lifecycle from lead generation and risk management to post-disbursement monitoring. With over 1 lakh active banking and credit users Accumn has achieved a 66% reduction in credit processing time and boasts an 85% success rate in predicting defaults. The platform has over 5 lakh entities under credit monitoring . The company has been recognized for Best Use of AI & ML Models for Credit Default Prediction by Banking Frontiers and Best Use of AI in Risk Evaluation by Dun & Bradstreet. Visit and to learn more.

Software Engineer team is responsible for developing a revolutionary finance marketplace product including the design user experience and business logic to ensure that the product is easy-to-use appealing and effective. Your broad knowledge with the required skill set will make you a vital part of our new and growing team. If this is you and you are looking for a great bunch of people to partner with on your next journey then lets talk.

Responsibilities :

• Responsible for full software life-cycle and development of front-end & back-end systems.
• Writing high-quality code participating in code reviews designing / architecting systems of varying complexity and scope.
• Identify libraries and technologies worth experimentation.
• Help in Build innovative solutions from scratch and liaise with architects and engineers to build solutions.

Requirements :

Required Qualifications : 4-5 years of experience in MLOps, DevOps, or a related software engineering role. Strong proficiency in and Python (FastAPI) for backend development. Strong proficiency in Redis, NATS, Dragonfly, context and cached management. Strong proficiency in MongoDB, SQLite or any database. Solid experience with Docker and containerization. Hands-on experience with Kubernetes (EKS or K3S) for deployment and operations. Practical experience with AWS cloud services (EC2, EKS, ECR, S3, CloudWatch). Experience with CI / CD pipelines. Preferred Qualifications (Added Advantages) : Exposure to frontend development (e.g., React). Familiarity with Voice AI Architecture (ASR / TTS / LLM) or telephony systems. Experience with LLM serving frameworks Exposure to campaign management or outbound dialer systems.

Key Skills

Spring,.NET,C / C++,Go,React,OOP,C#,Data Structures,JavaScript,Software Development,Java,Distributed Systems

Employment Type : Full Time

Experience : years

Vacancy : 1