We are seeking a talented Generative AI Developer to design, develop, and deploy AI-powered applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI orchestration frameworks. The ideal candidate will have hands-on experience building AI workflows, developing reusable prompt-based solutions, integrating vector databases, and exposing AI capabilities through scalable APIs and microservices.
This role will work closely with AI architects, data engineers, product owners, and business stakeholders to build innovative GenAI applications that solve real-world business problems while ensuring reliability, scalability, and performance.
ResponsibilitiesAI Application Development
- Develop and deploy GenAI applications using leading LLM platforms and APIs.
- Create intelligent workflows and AI-powered business solutions leveraging modern orchestration frameworks.
- Translate business requirements into scalable AI features and reusable software components.
- Participate in the full development lifecycle from prototyping through production deployment.
Prompt Engineering & LLM Integration
- Design, test, and optimize prompts for consistent and high-quality LLM outputs.
- Develop reusable prompt templates and structured response frameworks.
- Implement techniques for output control, response validation, and prompt optimization.
- Support prompt testing and tuning to improve model performance and user experience.
RAG & Knowledge Retrieval Solutions
- Develop Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge applications.
- Integrate vector databases, embeddings, and semantic search capabilities.
- Build document ingestion, indexing, chunking, and retrieval workflows.
- Optimize retrieval quality, relevance, and response accuracy.
API & Microservices Development
- Design and build RESTful APIs and microservices to expose AI capabilities.
- Integrate GenAI solutions with enterprise applications, databases, and third-party platforms.
- Develop scalable backend services supporting AI-driven use cases.
- Ensure security, maintainability, and performance of deployed AI services.
Testing & Quality Assurance
- Develop testing strategies for prompts, workflows, and AI-generated outputs.
- Utilize synthetic datasets to validate AI use cases and edge cases.
- Monitor solution accuracy, reliability, and business performance metrics.
- Support evaluation and benchmarking activities for AI applications.
Collaboration & Innovation
- Work closely with AI Architects and Senior GenAI Engineers on enterprise AI initiatives.
- Participate in AI accelerators, reusable framework development, and innovation programs.
- Stay current with developments in LLMs, NLP, prompt engineering, and agentic AI technologies.
- Contribute to AI best practices, coding standards, and knowledge-sharing initiatives.
- Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
- 3–6 years of software development experience with at least 1–2 years focused on Generative AI solutions.
- Strong foundation in Large Language Models (LLMs), NLP, prompt engineering, and AI application development.
- Proficiency in Python and AI development frameworks.
- Experience using LangChain or similar frameworks for workflow orchestration.
- Experience developing prompt templates, structured outputs, and reusable AI components.
- Hands-on experience building APIs and microservices for AI-driven applications.
- Experience with embeddings, vector databases, and Retrieval-Augmented Generation (RAG) architectures.
- Familiarity with synthetic data generation and AI testing methodologies.
- Strong problem-solving and debugging skills.
Skills Required
- Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related field.
- 3-6 years of software development experience with at least 1-2 years focused on Generative AI solutions.
- Strong foundation in Large Language Models (LLMs), NLP, prompt engineering, and AI application development.
- Proficiency in Python and AI development frameworks.
- Experience using LangChain or similar frameworks for workflow orchestration.
- Experience developing prompt templates, structured outputs, and reusable AI components.
- Hands-on experience building APIs and microservices for AI-driven applications.
- Experience with embeddings, vector databases, and Retrieval-Augmented Generation (RAG) architectures.
- Familiarity with synthetic data generation and AI testing methodologies.
- Strong problem-solving and debugging skills.
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
