Senior Developer (AI Focus)

greenhouse

Bengaluru, India 10 Years Exp Posted 30d ago

Day in the Life:

Core Engineering:

Design, develop, and maintain high-performance, scalable Java-based enterprise applications
Build and enhance backend services, APIs, and microservices architecture
Write clean, efficient, and maintainable code following best practices and coding standards
Troubleshoot, debug, and optimize application performance and reliability
Ensure application security, scalability, and high availability
Support continuous integration and deployment processes
Participate in architecture discussions and contribute to technical design decisions

AI Integration & Leadership:

Lead a small AI team to design and deliver AI-powered features within our core platform
Integrate AI/ML capabilities — such as automated reporting, anomaly detection, smart alerts, and incident workflows — into existing Java-based services
Evaluate and adopt emerging AI tools and frameworks (e.g. LLMs, RAG, Agentic AI) where they add practical value to the product
Ensure AI solutions are production-grade: secure, explainable, performant, and aligned with business goals
Act as a bridge between AI experimentation and core product engineering — keeping AI grounded in real product impact

Collaboration & Mentorship:

Collaborate closely with Product Management, Engineering, QA, and DevOps teams, including remote teams
Conduct code reviews and mentor junior developers
Contribute to a culture of technical excellence, speed, and ownership

Who You Are:

Required Qualifications:

Core Java & Backend

10+ years of experience in software development for enterprise applications
Strong proficiency in Java, Spring Boot, and Microservices architecture
Hands-on experience with Apache Kafka for building scalable, real-time data pipelines and event-driven microservices
Experience building RESTful APIs and distributed systems
Good understanding of databases (SQL/NoSQL) and data modelling concepts
Experience with cloud platforms (AWS/Azure/GCP)
Familiarity with containerization technologies such as Docker and Kubernetes
Strong understanding of software design patterns and system architecture
Experience working in Agile development environments

AI/ML (Hands-on Experience Preferred)

Practical experience integrating AI/ML models or services into production Java applications
Familiarity with Python and AI/ML frameworks (TensorFlow, PyTorch, or equivalent) is a strong plus
Understanding of LLM integrations, RAG pipelines, or agent-based AI systems
Knowledge of MLOps practices and model lifecycle management is advantageous
Exposure to AI system design and scalable AI architectures

Leadership