Gen AI Developer

Job Description:

These application program solutions may involve diverse development
platforms, software, hardware, technologies and tools. Participates in
the design, development and implementation of complex applications,
often using new technologies. May collaborate with
external programmers to coordinate delivery of software application.
Works under minimal supervision, with general guidance from more
seasoned consultants. 6 - 8 years experience in role.

Job Responsibilities:

• Design, develop, and support enterprise Generative AI applications spanning web, API, backend, data, and database layers.
• Develop AI-powered capabilities using Python and modern AI/ML libraries
  while integrating with Large Language Models (LLMs) and external AI
  services.
• Create effective prompts, AI workflows, and model integrations to
  deliver accurate, scalable, and business-focused GenAI solutions.
• Build and maintain modern web applications using Angular or React, along with backend services using Node.js and Express.
• Design and implement RESTful APIs following HTTP standards, security best practices, and scalable architecture patterns.
• Develop and optimize SQL and PL/SQL database components, queries, stored procedures, and data access layers.
• Design, implement, and support ETL processes, data integration
  pipelines, and data engineering solutions to enable analytics and
  AI-driven capabilities.
• Implement secure authentication and authorization solutions using OAuth2 and related security protocols.
• Utilize Redis and other performance optimization techniques to improve application scalability and responsiveness.
• Participate in CI/CD
  automation, containerized deployments, and cloud-native application
  delivery processes while applying best practices for logging,
  monitoring, observability, and security.

Job Requirements:

• Strong experience with Python development, including core Python
  programming, package management, and web frameworks such as Flask or
  FastAPI.
• Hands-on experience building and integrating Generative AI solutions,
  including prompt engineering, AI libraries, model APIs, and LLM-based
  applications.
• Good understanding of LLMs, Generative AI, machine learning concepts,
  transformers, neural networks, and AI application design principles.
• Experience developing modern web applications using Angular or React and backend services using Node.js and Express.
• Strong understanding of REST APIs, HTTP/HTTPS protocols, web services,
  SSL/TLS certificates, and secure application communication.
• Experience implementing OAuth2 authentication and authorization
  mechanisms, secret management, and application security best practices.
• Strong SQL and PL/SQL skills, including database design, query tuning,
  stored procedures, data modeling, and performance optimization.
• Experience with Redis caching, performance tuning, logging, monitoring, and application observability practices.
• Familiarity with AI/ML ecosystems and development tools such as PyTorch,
  TensorFlow, VS Code, PyCharm, Jupyter, Hugging Face, npm, PyPI, Maven,
  and NuGet.
• Experience with CI/CD platforms and DevOps tools such as Jenkins, GitHub
  Actions, GitLab CI, Azure DevOps, Ansible, or similar technologies.
• Knowledge of containerized and cloud-native application deployment using OpenShift, Kubernetes, Docker, or similar platforms.