Senior AI Software Engineer

About the role

We're growing rapidly and are looking for Senior AI Software Engineers to join our Texas Business Unit. We're a close-knit team with access to global resources, offering opportunities to explore a wide range of industries, technologies, and geographies. This position can be located at any CGI office in the U.S., with preferred locations in Dallas, Texas, or Atlanta, Georgia. A hybrid working model is acceptable.

Responsibilities

• Help the team lead and product owner understand requirements, groom stories, and assist with design and implementation strategy.
• Implement features, troubleshoot issues, and assist with defining and utilizing best practices.
• Collaborate with other engineers on your team of various levels and diverse skill sets.

Requirements

• Software Engineer – Resource Requirements
• Primary / Mandatory Skills:
• Python & Web Frameworks: Demonstrated expertise in Python and at least one major web framework.
• API Development: Hands-on experience developing RESTful APIs using FastAPI and GraphQL API using Strawberry.
• Streaming Data Platforms: Experience working with streaming platforms like Kafka or Event Hubs.
• Database Management: Strong proficiency in designing, integrating, and managing multiple databases (e.g., PostgreSQL, MongoDB).
• Big Data & Distributed Computing: Experience working with big data processing frameworks like Spark and Delta Lake.
• Databricks: Hands-on experience with Databricks for collaborative data engineering and machine learning workflows.
• LLM APIs: Experience working with LLM APIs such as OpenAI, Llama, or other mainstream GenAI models.
• Cloud Computing & Azure Architecture: Good understanding of cloud computing concepts, scalability, and solution architecture, with a focus on Microsoft Azure.
• Containerization (Docker) & Orchestration (Kubernetes): Experience deploying and managing applications using Docker containers and Kubernetes orchestration.
• CICD Pipelines: Experience creating and managing CI/CD pipelines to streamline integration and deployment tasks using Azure DevOps or GitHub Actions.
• System Design: Proven experience with designing and building middle-size applications with around 5k daily active users.
• Concurrency Tools: Experience handling high concurrency using multi-process, multithreading, or actor model.
• Soft Skills: Excellent problem-solving abilities, attention to detail, and strong communication skills.

Qualifications

• Required Qualifications:
• Software Engineer – Resource Requirements
• Primary / Mandatory Skills:
• Python & Web Frameworks: Demonstrated expertise in Python and at least one major web framework.
• API Development: Hands-on experience developing RESTful APIs using FastAPI and GraphQL API using Strawberry.
• Streaming Data Platforms: Experience working with streaming platforms like Kafka or Event Hubs.
• Database Management: Strong proficiency in designing, integrating, and managing multiple databases (e.g., PostgreSQL, MongoDB).
• Big Data & Distributed Computing: Experience working with big data processing frameworks like Spark and Delta Lake.
• Databricks: Hands-on experience with Databricks for collaborative data engineering and machine learning workflows.
• LLM APIs: Experience working with LLM APIs such as OpenAI, Llama, or other mainstream GenAI models.
• Cloud Computing & Azure Architecture: Good understanding of cloud computing concepts, scalability, and solution architecture, with a focus on Microsoft Azure.
• Containerization (Docker) & Orchestration (Kubernetes): Experience deploying and managing applications using Docker containers and Kubernetes orchestration.
• CICD Pipelines: Experience creating and managing CI/CD pipelines to streamline integration and deployment tasks using Azure DevOps or GitHub Actions.
• System Design: Proven experience with designing and building middle-size applications with around 5k daily active users.
• Concurrency Tools: Experience handling high concurrency using multi-process, multithreading, or actor model.

Skills

• Model LLM Interface: Experience of using LangChain package to interact with GenAI model API.
• Full Stack Development: Full stack development experience is a bonus.
• Familiarity with front-end technologies such as JavaScript, React, or Next.js.
• Specific Industry/Domain Knowledge: Specific industry/domain knowledge relevant to telecommunications will be preferable.

Benefits

• Competitive compensation including profit participation program.
• Comprehensive medical, dental, and vision benefits.
• Basic life and accidental death & dismemberment insurance.
• Matching contributions through 401(k) plan, and CGI share purchase plan.
• Flexibility and paid accrued vacation leave, ranging from 10 to 20 days per year, based on job level, years of relevant prior experience, and years of service.
• 10 paid holidays per year.
• At least 80 consecutive hours of paid sick/safe leave (except where applicable state/local law requires more).
• Paid parental leave, ranging from 20 to 70 consecutive business days based on circumstances of leave and applicable laws.
• Paid bereavement leave, ranging from 1 to 7 days per year based on relationship.
• Paid jury duty leave, up to time summoned.
• Learning opportunities and tuition assistance.
• Wellness and well-being programs.