Gurugram, HR, India
Information Technology
Full-Time
EXL Service
Overview
Job Description: Essential Functions
- Develop and experiment with Generative AI solutions using large language models (LLMs) .
- Implement prompt engineering, retrieval-augmented generation (RAG), and LLM-based applications .
- Assist in building and testing AI/ML models and GenAI prototypes to solve business problems.
- Work with large datasets to support model experimentation, evaluation, and improvement .
- Write efficient and scalable Python code for AI and ML workflows .
- Work within Linux-based development environments for AI experimentation and model development.
- Utilize cloud platforms such as Azure or GCP for model experimentation and deployment.
- Explore and implement agentic AI frameworks and orchestration tools for building AI-driven workflows.
- Support development teams in integrating AI capabilities into applications and systems.
- Ensure responsible handling of sensitive data including PII/PHI , following organizational data governance policies.
- Document model experiments, results, and development processes.
- Stay updated with emerging developments in Generative AI, LLMs, and AI engineering tools .
Primary Internal Interactions
- Review with the Overall Product Manager & AVP for improvements in the product development lifecycle
- Assessment meeting with VP & above for additional product development features.
Primary External Interactions
- C ommunicate with onshore stakeholder & Executive Team Members.
- Work with the onshore support team to communicate progress, delays, risks and planned deliverables
Responsibilities: Required Skills –
- Familiarity with LLM frameworks, prompt engineering, and GenAI application development.
- Experience working in Linux-based development environments.
- Basic experience with cloud platforms such as Azure or Google Cloud Platform (GCP).
- Understanding of machine learning concepts and model development workflows.
- Awareness of data privacy and secure handling of sensitive data such as PII/PHI.
- Experience with RAG architecture, embeddings, and vector databases.
- Familiarity with agentic AI frameworks and orchestration tools.
- Exposure to LLM fine-tuning or model customization techniques.
- Experience with containers and development tools such as Docker.
- Exposure to MLOps or ML experimentation tools.
- Strong problem-solving mindset and curiosity about emerging AI technologies.
- Ability to rapidly prototype and experiment with new AI tools and frameworks.
- Solid software engineering fundamentals and clean coding practices.
- Willingness to learn and work across AI, cloud, and data engineering environments.
- Good collaboration skills to work with data scientists, engineers, and product teams.
- Passion for building innovative AI-driven solutions using Generative AI technologies.
Will be required to extend as per project release needs
Qualifications: Education Requirements
- Bachelor’s degree in Engineering, Computer Science, AI/ML, Data Science, or a related field.
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