Required Skills
- 4 years of experience in AI/ML, NLP, software engineering, or related domains.
- Mandatory: Strong hands-on experience in Python and TypeScript.
- Proficiency in Python for automation, scripting, data processing, and API integrations.
- Proficiency in TypeScript for backend logic, APIs, and application development.
- Practical experience working with LLMs, prompt engineering, and model evaluation.
- Understanding of NLP concepts, embeddings, and vector search pipelines.
Strong analytical, debugging, and problem‑solving skills
ResponsibilitiesRequired Skills
- 4 years of experience in AI/ML, NLP, software engineering, or related domains.
- Mandatory: Strong hands-on experience in Python and TypeScript.
- Proficiency in Python for automation, scripting, data processing, and API integrations.
- Proficiency in TypeScript for backend logic, APIs, and application development.
- Practical experience working with LLMs, prompt engineering, and model evaluation.
- Understanding of NLP concepts, embeddings, and vector search pipelines.
Strong analytical, debugging, and problem‑solving skills
QualificationsGood to Have
- Experience with React for integrating AI capabilities into front-end applications.
- Familiarity with LangChain, LlamaIndex, or other LLM orchestration frameworks.
- Experience with cloud platforms (Azure, AWS, GCP).
- Knowledge of microservices, REST APIs, and deployment workflows.
Skills Required
- 4 years of experience in AI/ML, NLP, software engineering, or related domains
- Strong hands-on experience with Python
- Strong hands-on experience with TypeScript
- Experience using Python for automation, scripting, data processing, and API integrations
- Experience using TypeScript for backend logic, APIs, and application development
- Practical experience with LLMs, prompt engineering, and model evaluation
- Understanding of NLP concepts, embeddings, and vector search pipelines
- Strong analytical, debugging, and problem-solving skills
- Experience with React for integrating AI capabilities into front-end applications
- Familiarity with LangChain, LlamaIndex, or other LLM orchestration frameworks
- Experience with Azure, AWS, or GCP
- Knowledge of microservices, REST APIs, and deployment workflows
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.
