We are seeking a skilled and innovative Generative AI Engineer with 3–6 years of experience in AI/ML development to design, build, and deploy GenAI-powered applications. The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and modern AI frameworks. You will work closely with data scientists, software engineers, and business stakeholders to deliver scalable AI solutions that drive business value.
ResponsibilitiesKey Responsibilities- Design, develop, and deploy Generative AI applications using state-of-the-art LLMs.
- Build and optimize RAG pipelines leveraging vector databases and enterprise knowledge sources.
- Develop prompt engineering strategies and evaluate model performance.
- Fine-tune, customize, and optimize foundation models for domain-specific use cases.
- Integrate AI solutions with cloud platforms and enterprise systems through APIs and microservices.
- Implement AI observability, monitoring, and evaluation frameworks.
- Develop scalable and production-ready AI applications following MLOps best practices.
- Conduct experimentation and benchmarking of LLMs, embeddings, and retrieval techniques.
- Collaborate with cross-functional teams to gather requirements and translate business problems into AI solutions.
- Stay updated on advancements in Generative AI, LLMs, agents, and multimodal AI technologies.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 3–6 years of experience in Software Engineering, Machine Learning, NLP, or AI development.
- Strong proficiency in Python and software engineering best practices.
- Experience with Generative AI frameworks such as:
- LangChain
- LlamaIndex
- LangGraph
- Semantic Kernel (preferred)
- Hands-on experience with LLMs including:
- GPT models
- Claude
- Llama
- Gemini
- Mistral
- Experience building RAG systems using vector databases such as:
- Pinecone
- FAISS
- Chroma
- OpenSearch
- Weaviate
- Familiarity with embedding models and semantic search techniques.
Skills Required
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field
- 3-6 years of experience in Software Engineering, Machine Learning, NLP, or AI development
- Strong proficiency in Python and software engineering best practices
- Experience with Generative AI frameworks: LangChain, LlamaIndex, LangGraph, Semantic Kernel
- Hands-on experience with LLMs (GPT models, Claude, Llama, Gemini, Mistral)
- Experience building RAG systems and using vector databases (Pinecone, FAISS, Chroma, OpenSearch, Weaviate)
- Familiarity with embedding models and semantic search techniques
- Experience with prompt engineering, fine-tuning, and customizing foundation models
- Experience integrating AI solutions with cloud platforms and enterprise systems via APIs and microservices
- Knowledge of MLOps best practices, production deployment, and AI observability/monitoring
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.
