Generative AI Engineer
First seen by Alion on Sep 4, 2026. EXL scores B on the Alion truth index.
Role Overview :
As a Generative AI Engineer at EXL, you will spearhead the design, development, and deployment of cutting-edge LLM-based solutions that solve complex business challenges for our global clientele. You will operate at the forefront of innovation, bridging the gap between experimental AI research and production-grade enterprise applications. Working closely with cross-functional teams of data scientists, domain experts, and business stakeholders, you will translate ambiguous requirements into robust, scalable AI architectures that significantly enhance operational efficiency and customer experience.
Key Responsibilities :
- Architect and implement end-to-end Generative AI pipelines, including RAG systems and fine-tuning frameworks, to deliver high-impact business solutions for enterprise clients.
- Evaluate and integrate state-of-the-art Large Language Models and open-source frameworks to ensure optimal performance, cost-efficiency, and scalability for production environments.
- Collaborate with product managers and business stakeholders to identify high-value use cases, ensuring that AI-driven outputs align with specific industry requirements and regulatory standards.
- Establish rigorous evaluation frameworks and monitoring protocols to maintain model accuracy, mitigate hallucinations, and ensure the ethical deployment of AI systems.
- Mentor junior engineers and foster a culture of technical excellence by conducting code reviews, sharing best practices, and staying abreast of the rapidly evolving Generative AI landscape.
Required Skillset :
- Demonstrated expertise in building and deploying LLM-based applications using frameworks such as LangChain, LlamaIndex, or Haystack, with a strong grasp of vector databases like Pinecone, Milvus, or Weaviate.
- Advanced proficiency in Python and deep learning libraries including PyTorch or TensorFlow, combined with a solid understanding of transformer architectures and attention mechanisms.
- Proven ability to translate complex technical concepts into actionable business insights, facilitating effective communication with non-technical stakeholders and senior leadership.
- Strong analytical mindset with an advanced degree in Computer Science, Data Science, or a related quantitative field, reflecting a deep foundation in machine learning theory.
- Adaptability to work in a hybrid environment in Bangalore, demonstrating the ability to collaborate effectively across distributed teams while maintaining high standards of delivery and innovation.
Skills
Machine Learning, Python, Generative AI, LLM, Cloud Computing, Agentic AI, PyTorch, Tensorflow