Staff Software Engineer

Working within Product Engineering with multi-location teams, your mission will be to play an active role in designing & developing application and working as a Full stack developer. You should also be able to collaborate with other team members for understanding the objectives, meeting the expectation and delivering the requirements within agreed timeline with good quality and be up to date on new technologies and Key design principles.

Responsibilities

• Develop creative solutions and write technical design based on the requirements.
• Develop and maintain enterprise grade SaaS software, adapting Agile methodology. 
• Perform peer code reviews and provide feedback.
• Promote high quality, scalability, and timely completion of projects.
• Development in Core Java, J2EE, Struts, spring, Client-Side scripting, Hibernate, Database 
• Development of scalable core-java applications, Web Applications and Web Services

Requirements

• Experience:8+ Years
• Strong programming skills in Java or Python or Go or Rust 
• Experience using Streamlit for data visualization 
• Hands-on experience with agentic frameworks such as LangGraph, LangChain, or crewAI.  
• Experience with API frameworks and protocols: MCP, REST, WebSockets, gRPC.  
• Practical experience with relational or document databases: Postgres or MongoDB.  
• Solid understanding and development experience with microservices-based architectures.  
• Strong foundation in data structures and algorithms.  
• Experience building or integrating RAG (Retrieval-Augmented Generation) systems and vector search.  
• Experience working with multi region teams. 
• Analytical problem-solving skills, with attention to detail.

Good to

• Development experience using:  Java, Kafka, SQL, Linux, Apache Redis, and at least one of MongoDB, Postgres, Clickhouse. 
• Experience working with relational and NoSQL DB. 
• Strong knowledge of multiple database paradigms: SQL, NoSQL, time-series databases, GraphDB, etc.  
• Experience with AI/ML model deployment and operationalization (MLOps / LLMOps).
• Experience designing and implementing Service Level Management (SLM) and related SLO/SLA constructs for AI systems.
• Experience with LLM observability (tracing, evaluation, monitoring, guardrails).  
• Experience with LLM fine-tuning techniques (LoRA, QLoRA, instruction tuning, or full parameter tuning).