Gen AI Developer

<h2 id="tasks">Tasks</h2> <p><strong>Job Description:</strong> </p> <p>These application program solutions may involve diverse development<br>platforms, software, hardware, technologies and tools. Participates in<br>the design, development and implementation of complex applications,<br>often using new technologies. May collaborate with<br>external programmers to coordinate delivery of software application.<br>Works under minimal supervision, with general guidance from more<br>seasoned consultants. 6 - 8 years experience in role.</p> <h2 id="requirements">Requirements</h2> <p><strong>Job Responsibilities:</strong></p> <ul> <li>Design, develop, and support enterprise Generative AI applications spanning web, API, backend, data, and database layers.</li> <li>Develop AI-powered capabilities using Python and modern AI/ML libraries<br>while integrating with Large Language Models (LLMs) and external AI<br>services.</li> <li>Create effective prompts, AI workflows, and model integrations to<br>deliver accurate, scalable, and business-focused GenAI solutions.</li> <li>Build and maintain modern web applications using Angular or React, along with backend services using Node.js and Express.</li> <li>Design and implement RESTful APIs following HTTP standards, security best practices, and scalable architecture patterns.</li> <li>Develop and optimize SQL and PL/SQL database components, queries, stored procedures, and data access layers.</li> <li>Design, implement, and support ETL processes, data integration<br>pipelines, and data engineering solutions to enable analytics and<br>AI-driven capabilities.</li> <li>Implement secure authentication and authorization solutions using OAuth2 and related security protocols.</li> <li>Utilize Redis and other performance optimization techniques to improve application scalability and responsiveness.</li> <li>Participate in CI/CD<br>automation, containerized deployments, and cloud-native application<br>delivery processes while applying best practices for logging,<br>monitoring, observability, and security.</li> </ul> <p><strong>Job Requirements:</strong></p> <ul> <li>Strong experience with Python development, including core Python<br>programming, package management, and web frameworks such as Flask or<br>FastAPI.</li> <li>Hands-on experience building and integrating Generative AI solutions,<br>including prompt engineering, AI libraries, model APIs, and LLM-based<br>applications.</li> <li>Good understanding of LLMs, Generative AI, machine learning concepts,<br>transformers, neural networks, and AI application design principles.</li> <li>Experience developing modern web applications using Angular or React and backend services using Node.js and Express.</li> <li>Strong understanding of REST APIs, HTTP/HTTPS protocols, web services,<br>SSL/TLS certificates, and secure application communication.</li> <li>Experience implementing OAuth2 authentication and authorization<br>mechanisms, secret management, and application security best practices.</li> <li>Strong SQL and PL/SQL skills, including database design, query tuning,<br>stored procedures, data modeling, and performance optimization.</li> <li>Experience with Redis caching, performance tuning, logging, monitoring, and application observability practices.</li> <li>Familiarity with AI/ML ecosystems and development tools such as PyTorch,<br>TensorFlow, VS Code, PyCharm, Jupyter, Hugging Face, npm, PyPI, Maven,<br>and NuGet.</li> <li>Experience with CI/CD platforms and DevOps tools such as Jenkins, GitHub<br>Actions, GitLab CI, Azure DevOps, Ansible, or similar technologies.</li> <li>Knowledge of containerized and cloud-native application deployment using OpenShift, Kubernetes, Docker, or similar platforms.</li> </ul>