Key skills
PythonAIArtificial IntelligenceMLNLPGenerative AILLMRAGAnalyticsAWSAzureGCPAgileCI/CD
About this role
EXL is a leading data analytics and digital operations company that partners with clients to transform business models through data and AI. The Generative AI Engineer role focuses on building, deploying, and optimizing generative AI solutions, collaborating with various teams to implement scalable applications and ensure performance in production environments.
Responsibilities:
- Design, develop, and deploy production-grade Generative AI solutions for business use cases
- Build and maintain LLM-based applications using prompts, chains, agents, and RAG pipelines
- Implement AI components under defined solution and architectural guidelines
- Integrate LLMs with enterprise data sources, vector databases, and APIs
- Optimize model accuracy, latency, scalability, and cost in production environments
- Collaborate closely with AI Architects, data scientists, and platform engineering teams
- Apply strong software engineering practices including code reviews, testing, and documentation
- Support LLMOps activities such as model evaluation, monitoring, versioning, and CI/CD integration
- Participate in Agile delivery ceremonies including sprint planning, demos, and retrospectives
Requirements:
- Bachelor's degree in Computer Science, Artificial Intelligence, Engineering, or a related field
- 3-6 years of experience in software engineering, AI/ML, or data science roles
- 3+ years of hands-on experience building Generative AI or NLP-based solutions
- Demonstrated experience deploying AI / LLM-based applications into production
- Strong proficiency in Python and modern software development practices
- Practical experience working with LLM frameworks, vector databases, and RAG-based architectures
- Experience working on cloud platforms such as AWS, Azure, GCP, or Nvidia ecosystems
- Familiarity with Agile development methodologies and collaborative delivery models
- Strong problem-solving skills with the ability to translate business requirements into technical solutions
- Master's degree in AI, Data Science, or a related discipline is a plus