Gen AI Engineer

Gen AI Engineer

Participate in data extraction, transformation, and preparation.

Resolve common data issues and ensure quality for model development.

Participate in developing models using statistical or machine learning techniques and collaborate with technology teams to operationalize them into analytics tools or scripts.

Participate in model testing and validation, selecting the best-performing algorithms based on statistical and business metrics.

Participate in the development of advanced analytics and machine learning or deep learning models including LLMs using predefined processes and tools like SAS and R/Python.

Participate in defining analytics problems; execute visualization, analysis, and predictive modeling with senior support.

Identify data sources and extract from RDBMS and develop UI/UX for client usage.

Participate in model performance, while making minor adjustments, and escalate risks or compliance concerns and generate reports on deviations or schedule slippages.

Proactively participate in detailed documentation of model development, testing, and deployment activities for reproducibility.

Work closely with business and technology teams to translate requirements into actionable models, while communicating results effectively.

Apply predefined quality measurement frameworks, if any, to individual project tasks.

Participate in deploying analytics tools in test and production environment, while ensuring they meet operational requirements.

Strong analytical and problem-solving mindset with hands-on model development skills.

Ability to translate business needs into actionable analytics solutions.

Focus on data quality, validation and performance optimization.

Effective collaboration with business and technology stakeholders.

Commitment to continuous learning, knowledge sharing, fostering team development.

Experience in Generative AI and Large Language Models (LLMs)

Hands-on experience with agentic frameworks (multi-agent systems, tool-using agents, planners)

Solid understanding of:

RAG architectures

Prompt engineering & prompt chaining

Conversational AI design patterns

Strong programming experience in Python preferred

Experience with LangChain / similar orchestration frameworks

Exposure to LLM fine-tuning, embeddings, vector databases

Experience building enterprise copilots or AI assistants

Familiarity with cloud-based GenAI platforms

Bachelor’s degree or foreign equivalent required from an accredited institution.