Generative AI Engineer
Required Skills: Developing and Delivering GenAI Applications, Modern AI/Ml Frameworks, Clous platforms, SDLC
Job Description
Role : Generative AI Engineer
Location: Cary, NC (Onsite)
Duration : 6 Months+
Job Description:
5+ years in development using multiple technology stack capabilities (Front/Back End, API, Database Mgmt., Hosting technologies etc. to drive digital transformation in financial services or technology domain
Proven expertise in developing and delivering GenAI applications, including agentic systems
Strong understanding of modern AI/ML frameworks, cloud platforms (e.g., AWS, Azure, GCP), and data engineering practices.
Experience with LLMs, transformers, and understanding of agentic systems, current limitations and opportunities.
Experience in implementing Enterprise AI solutions leveraging AI\ML models.
Expertise in machine learning, deep learning, natural language processing, and other AI-related technologies.
Proficiency in programming languages such as Python and proficiency with AI frameworks (e.g., TensorFlow, PyTorch)Strong grounding on data engineering and design to support AI workloads.
Hands on experience on Azure AI offerings will be an added advantage.
Strong analytical and problem-solving skills with a focus on delivering practical, scalable solutions.
Hands-on experience in developing and implementing applications using modern technology stack and patterns including cloud native patterns, public cloud (e.g. Microsoft Azure), AI/Big Data, API and web apps
Proficiency in software development lifecycle including CI/CD, test driven development, domain driven design and Agile ways of working (including shift-left)’
Required Skills: Developing and Delivering GenAI Applications, Modern AI/Ml Frameworks, Clous platforms, SDLC
Job Description
Role : Generative AI Engineer
Location: Cary, NC (Onsite)
Duration : 6 Months+
Job Description:
5+ years in development using multiple technology stack capabilities (Front/Back End, API, Database Mgmt., Hosting technologies etc. to drive digital transformation in financial services or technology domain
Proven expertise in developing and delivering GenAI applications, including agentic systems
Strong understanding of modern AI/ML frameworks, cloud platforms (e.g., AWS, Azure, GCP), and data engineering practices.
Experience with LLMs, transformers, and understanding of agentic systems, current limitations and opportunities.
Experience in implementing Enterprise AI solutions leveraging AI\ML models.
Expertise in machine learning, deep learning, natural language processing, and other AI-related technologies.
Proficiency in programming languages such as Python and proficiency with AI frameworks (e.g., TensorFlow, PyTorch)Strong grounding on data engineering and design to support AI workloads.
Hands on experience on Azure AI offerings will be an added advantage.
Strong analytical and problem-solving skills with a focus on delivering practical, scalable solutions.
Hands-on experience in developing and implementing applications using modern technology stack and patterns including cloud native patterns, public cloud (e.g. Microsoft Azure), AI/Big Data, API and web apps
Proficiency in software development lifecycle including CI/CD, test driven development, domain driven design and Agile ways of working (including shift-left)’
