Gen AI Engineer
esolutionsRichardson (TX)
About the role
Gen AI Engineer
Job Location: Richardson, TX, Plano, TX, Dallas, TX, Irving, TX, Tampa, FL & Raleigh, NC
Remote/Onsite: Onsite
Job Type: Full time//Permanent
Job description:
- 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.
- Your contribution to the team:
- 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.
- Required Skill and Experience:
- 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
- Preferred Skill and Experience:
- 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
Additional Required Qualifications: Bachelor's degree or foreign equivalent required from an accredited institution.
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