Job Description

Job Summary:We are seeking a Senior Software Engineer with a strong focus on backend development, data engineering, and AI/ML systems. This role is ideal for an engineer who enjoys working close to data—building robust APIs, designing scalable data models, integrating AI-powered outputs into production systems, and developing AI-driven applications. The ideal candidate is hands-on, analytical, and comfortable working in a data-heavy and AI-driven environment using platforms such as PostgreSQL, Python-based backend frameworks like FastAPI, and cloud deployment on Amazon AWS.Job Description:As a Senior Software Engineer, you will design, develop, and maintain backend services, data platforms, AI/ML pipelines, and supporting web applications. You will collaborate closely with data engineers, ML engineers, AI engineers, and stakeholders to deliver reliable, scalable, and maintainable systems that power analytics, AI, and ML-enabled use cases.Job Specification:• Develop and maintain AI/ML pipelines, integrating model outputs into backend services and applications• Design, develop, and maintain backend services and APIs to support AI/ML applications• Integrate AI/ML tools, including agentic frameworks such as Agno or LangChain, into backend services and applications• Build and enhance web applications that consume backend APIs and AI-driven data products, with minimal frontend requirements• Optimize database queries, data processing pipelines, and system performance for scalability• Build and manage data-intensive services and pipelines interacting with relational databases• Design efficient and scalable data models for transactional, analytical, and AI/ML workloads• Deploy, manage, and monitor AI/ML applications and data services on cloud platforms such as Amazon AWS or equivalent• Collaborate with cross-functional teams to translate business, data, and AI requirements into technical solutions• Write clean, maintainable, and production-ready code, with proper documentation• Participate in code reviews, technical discussions, and continuous improvement initiativesRequired Skills and Expertise:Education• Bachelor’s degree in Computer Science, Engineering, or a related fieldExperience• 4 years of experience in AI/ML engineering, data engineering, or machine learning model development• Practical experience with relational databases, SQL, and data modeling• Experience integrating AI/ML outputs into production applications• Experience with agentic frameworks and AI-enabled web applications such as Agno or LangChain is highly preferred• Hands-on experience building and maintaining production-grade AI/ML pipelines, backend systems, or data platformsTechnical Skills• Proficiency in backend development using frameworks suitable for AI/ML services (e.g., FastAPI, Flask, or equivalent)• Experience integrating AI/ML services, outputs, or large language models (LLMs) into applications• Experience developing web applications that consume backend APIs and AI services• Understanding of scalable system architecture, performance optimization, and distributed data processing• Experience with agentic frameworks such as Agno or LangChain for AI-driven applications• Strong knowledge of relational databases including SQL design, indexing, and query optimization• Practical experience with relational databases, SQL, and data modeling• Strong knowledge of relational databases including SQL design, indexing, and query optimization• Hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learnDevOps & Delivery• Familiarity with CI/CD pipelines, version control, and release processes• Experience deploying, managing, and operating applications on cloud platforms such as Amazon AWS or equivalent• Ability to troubleshoot production issues and improve system reliability and performanceClient & Stakeholder Communication• Excellent client-facing communication skills• Strong skills in translating business, data, and AI requirements into technical implementationNice to Have:• Experience working with US healthcare clients or healthcare data• Additional experience in data engineering, analytics platforms, or AI pipelines• Exposure to cloud-based AI workflows and AI application frameworksSoft Skills:• Strong communication and collaboration skills• Eagerness to learn and work across technologies• Comfortable working in a fast-paced, client-driven environment• Strong sense of ownership and accountability• Commitment to writing high-quality, reliable softwareWhat We Offer• Employee Health Insurance Plan – Because your well-being truly matters.• Office-Provided Healthy Lunch – Nutritious meals to keep you energised and focused at work.• Complimentary Beverages – Coffee and tea available throughout the day.• Five-Day Work Week – Maintain a healthy work-life balance with a structured Monday-to-Friday schedule.• Company Outings & Team Events – Regular activities that strengthen collaboration and team spirit.• Great Infrastructure & Recreational Areas – Work in a modern office with spaces designed to relax, recharge, and collaborate.• Celebrations & Recognition Milestones – We celebrate achievements, milestones, and the people who make them possible.• Career Growth Opportunities – Work alongside experienced professionals on impactful and exciting projects that help you grow your expertise.• Exciting Interest-Based Clubs – Connect, unwind, and grow with communities that match your interests.Application Procedure:Interested candidates may apply through LinkedIn.If you’re shortlisted, our team will get in touch with you and guide you through the next steps.