Generative AI Engineer

Company Description

Genexa.AI is a Gen AI-First consulting house with an aim to help businesses build and deploy powerful Gen AI applications. The company is focused on driving business value through large-scale enterprise adoption of generative AI technology. Led by a team of experienced professionals, Genexa.AI offers a range of offerings including AI strategy development, pre-built apps and accelerators, custom AI solutions, and low-code/no-code platform. The company is passionate about helping enterprises harness the power of AI to achieve their goals and make a positive impact on the world.

Role Description

This is a full-time remote role for a Generative AI Engineer at Genexa.AI. The Generative AI Engineer will be responsible for designing and implementing generative AI algorithms that can be deployed at scale to solve real-world business problems. The role will involve working closely with data scientists, engineers, and product managers to develop and deploy generative AI. solutions that are designed to improve business outcomes. The Generative AI Engineer will also be responsible for conducting research and staying up-to-date with the latest developments in generative AI technologies.

Qualifications
 Proven experience as an Enterprise Architect, Solution Architect, or a similar role, with a focus on AI/ML and Generative AI.
 Strong understanding of generative AI techniques, including deep generative models, autoregressive models, and reinforcement learning for generative tasks.
 Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
 Proven expertise with Proprietary & Open Source LLMs (Open AI ,Gemini, Llama, Mistral and other Foundation models).
 Hands-on with Vector databases, RAG Frameworks, Langchain, LLM Ops Techstack including Evals, Deep Learning F/Ws (TensorFlow, PyTorch, and JAX)
 Proven expertise in CI/CD pipeline design and management in the Generative AI space including experience with LLMOPS.
 Proven ability to develop and deploy generative AI solutions at scale
 Excellent programming skills in Python or equivalent languages such as R or Julia
 Strong problem-solving skills and experience working with multi-disciplinary teams to deliver complex AI solutions
 A degree in Computer Science, Statistics, Mathematics or a related field
 Experience working in the Enterprise AI space would be a plus
 Experience with no-code/low-code platforms would be a plus,