EXL is seeking a Backend Software Engineer with at least 5 years of experience to contribute to building backend services and data-centric products. The role focuses on developing GenAI and agentic AI applications, collaborating with cross-functional teams, and maintaining high code quality in a cloud-native environment.
Responsibilities:
- Design, build, and maintain backend services and APIs using Python (FastAPI)
- Develop and scale GenAI and agentic AI applications using frameworks such as LangChain / LangGraph, ADK, Agent Engine, CrewAI, MCP/A2A, and others
- Work across cloud environments—primarily GCP (Cloud Run/GKE, Composer, Pub/Sub, BigQuery, AlloyDB/Cloud SQL)—or equivalent cloud platforms
- Build data-driven features, pipelines, and integrations that power intelligent applications
- Collaborate with cross-functional teams to translate product requirements into robust backend and data solutions
- Explore and understand existing systems with minimal guidance, proposing improvements and driving initiatives independently
- Contribute to architectural decisions, code quality, and engineering best practices
Requirements:
- 5+ years of hands-on backend engineering experience, with a strong foundation in building scalable backend and data products
- Proficiency in Python, especially FastAPI, and strong SQL skills
- Experience developing GenAI/agentic AI applications using modern frameworks and toolkits
- Solid understanding of cloud-native development on GCP or similar cloud platforms
- Ability to navigate large codebases, learn quickly, and operate with minimal supervision
- Strong problem-solving skills and a bias toward action
- Experience with Java/Spring Boot
- Knowledge of data modeling, distributed systems, and event-driven architectures
- Familiarity with container orchestration, CI/CD, and infrastructure-as-code