Required Technical Skills
Generative AI & LLMs
- Strong understanding of:
- Large Language Models (LLMs)
- Prompt Engineering techniques
- Retrieval-Augmented Generation (RAG)
- AI Agents / Agentic AI workflows
- Fine-tuning concepts and model evaluation
Programming Skills
- Hands-on experience with:
- Python
- REST APIs
- JSON handling and API integrations
AI Frameworks & Tools
- Experience with:
- LangChain / LangGraph/LangSmith
- LlamaIndex
- Semantic Kernel
- Knowledge of Low Code Solution
Role Overview
We are seeking a highly skilled and innovative GenAI Engineer / Prompt Engineer with 3–6 years of experience in building AI-powered applications leveraging Large Language Models (LLMs), Generative AI frameworks, and prompt engineering techniques.
The ideal candidate should have hands-on experience in designing AI agents, optimizing prompts, integrating LLM APIs, and developing scalable AI solutions for enterprise use cases. The role involves collaborating with product, engineering, and business teams to create impactful AI-driven applications and workflows.
Key Responsibilities
- Design, develop, and deploy Generative AI solutions using Large Language Models (LLMs).
- Create, test, and optimize prompts for accuracy, consistency, and performance.
- Build AI agents and multi-agent workflows for enterprise applications.
- Integrate LLM APIs such as OpenAI, Anthropic Claude, Gemini, or open-source models.
- Develop Retrieval-Augmented Generation (RAG) and Agentic AI solutions.
- Work on vector databases, embeddings, semantic search, and knowledge retrieval systems.
- Collaborate with data engineers and application teams for end-to-end AI solution integration.
- Evaluate model performance and improve outputs through prompt tuning and experimentation.
- Implement guardrails, security, and responsible AI practices.
- Build reusable AI workflows, templates, and accelerators.
- Stay updated with emerging trends in GenAI, LLMs, and AI frameworks.
Generative AI & LLMs
- Strong understanding of:
- Large Language Models (LLMs)
- Prompt Engineering techniques
- Retrieval-Augmented Generation (RAG)
- AI Agents / Agentic AI workflows
- Fine-tuning concepts and model evaluation
Programming Skills
- Hands-on experience with:
- Python
- REST APIs
- JSON handling and API integrations
AI Frameworks & Tools
- Experience with:
- LangChain / LangGraph/LangSmith
- LlamaIndex
- Semantic Kernel
- Knowledge of Low Code Solutions
Cloud & AI Platforms
- Exposure to:
- Azure OpenAI
- AWS Bedrock
- Google Vertex AI
- Databricks AI capabilities
Databases & Search
- Experience with:
- Vector databases (Pinecone, ChromaDB, FAISS, Weaviate)
- SQL / NoSQL databases
DevOps & Engineering Practices
- Knowledge of:
- Git and version control
- CI/CD pipelines
- Docker and containerization
- API deployment and monitoring
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
- Experience building enterprise AI copilots or conversational AI applications.
- Exposure to multi-modal AI solutions (text, image, audio).
- Understanding of AI governance, compliance, and responsible AI practices.
Experience working with healthcare, supply chain, financial domains is a plus.
Preferred Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Experience working in enterprise-scale applications.
- Exposure to AI-enabled or data-driven applications.
Skills Required
- 3-6 years of experience building AI-powered applications with LLMs, Generative AI frameworks, and prompt engineering
- Strong understanding of Large Language Models, prompt engineering, Retrieval-Augmented Generation, AI agents, agentic workflows, fine-tuning, and model evaluation
- Hands-on Python experience
- Experience with REST APIs, JSON handling, and API integrations
- Experience with LangChain, LangGraph, LangSmith, LlamaIndex, and Semantic Kernel
- Knowledge of low-code solutions
- Exposure to Azure OpenAI, AWS Bedrock, Google Vertex AI, and Databricks AI capabilities
- Experience with vector databases including Pinecone, ChromaDB, FAISS, or Weaviate
- Experience with SQL or NoSQL databases
- Knowledge of Git, version control, CI/CD pipelines, Docker, containerization, API deployment, and monitoring
- Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, or a related field
- Experience building enterprise AI copilots or conversational AI applications
- Exposure to multimodal AI solutions involving text, image, or audio
- Understanding of AI governance, compliance, and responsible AI practices
- Experience with healthcare, supply chain, or financial domains
- Experience with enterprise-scale applications and AI-enabled or data-driven applications
EXL Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.
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Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
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Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
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Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.
EXL Insights
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.
