Responsibilities
1. Build production-ready AI applications using Python and FastAPI.
2. Design LLM pipelines including data ingestion, inference, and response generation.
3. Leverage GCP tools like Vertex AI, Cloud Run/Functions, BigQuery, and Cloud Storage.
4. Apply advanced prompt engineering techniques to enhance LLM outputs.
5. Implement vector stores and embeddings for semantic search and RAG.
6. Use orchestration frameworks (e.g., LangChain, LangGraph, CrewAI) for complex workflows.
7. Integrate AI systems with enterprise platforms and maintain robust data flows.
8. Follow best practices in coding, testing, and deployment within CI/CD pipelines.
9. Continuously explore and recommend emerging tools and AI technologies.
1. 2+ years of experience developing AI solutions, especially with LLMs.
2. Proficient in Python and FastAPI for API development.
3. Hands-on experience with GCP services (Vertex AI, Cloud Run/Functions, etc.).
4. Strong prompt engineering skills (e.g., CoT, few-shot, instruction tuning).
5. Experience with vector databases and RAG systems.
6. Familiarity with LLM orchestration frameworks.
7. Solid understanding of software engineering fundamentals.
8. Proficient with Git and CI/CD practices
Preferred Qualifications
1. Bachelors or Masters in Computer Science
2. Experience with MLOps for model deployment and monitoring.
3. Knowledge of distributed systems and data processing.
4. Contributions to open-source projects or strong AI project portfolio.
5. Strong communication skills and ability to explain technical concepts clearly.
Skills Required
- 2+ years developing AI solutions, especially with LLMs
- Proficient in Python
- Proficient in FastAPI for API development
- Hands-on experience with GCP services (Vertex AI, Cloud Run/Functions, BigQuery, Cloud Storage)
- Strong prompt engineering skills (e.g., chain-of-thought, few-shot, instruction tuning)
- Experience with vector databases, embeddings, semantic search, and RAG systems
- Familiarity with LLM orchestration frameworks (e.g., LangChain, LangGraph, CrewAI)
- Solid software engineering fundamentals
- Proficient with Git and CI/CD practices
- Bachelors or Masters in Computer Science
- Experience with MLOps for model deployment and monitoring
- Knowledge of distributed systems and data processing
- Contributions to open-source projects or strong AI project portfolio
- Strong communication skills and ability to explain technical concepts clearly
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.
.jpeg){kind=icon}
