Senior AI Software Engineer

Senior AI Software Engineer

Category:
Software Development/ Engineering | Main location:
United States, Texas, Dallas | Position : J |

Employment Type:

Full Time

Our Texas Business Unit is growing rapidly and is looking for Senior AI Software Engineers to join a close‑knit team with access to global resources. Accepted candidates will work on a variety of industries, technologies, and geographies while enjoying the personal touch of our local operating approach.

This position can be located at any CGI office in the U.S.; the preferred location is Dallas, Texas or Atlanta, Georgia. A hybrid working model is acceptable.

As a senior engineer, you will help the team lead and product owner understand requirements, groom stories, and assist with design and implementation strategy. This hands‑on technical role requires expert level skills to implement features, troubleshoot issues, and define best practices. You will also collaborate with other engineers on the team of various levels and diverse skill sets.

• 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 such as Kafka or Event Hubs to develop real‑time pipelines.
• Database Management:
  Strong proficiency in designing, integrating, and managing multiple databases (e.g., PostgreSQL, MongoDB).
• Big Data & Distributed Computing:
  Experience with Spark and Delta Lake for scalable data processing.
• Databricks:
  Hands‑on experience with Databricks for collaborative data engineering and machine learning workflows.
• LLM APIs:
  Experience with LLM APIs such as OpenAI, Llama, or other mainstream GenAI models.
• Cloud Computing & Azure Architecture:
  Good understanding of cloud computing concepts and solution architecture, focusing on Microsoft Azure.
• Containerization & Orchestration:
  Experience deploying and managing applications using Docker containers and Kubernetes orchestration.
• CI/CD Pipelines:
  Experience creating and managing CI/CD pipelines using Azure Dev Ops or Git Hub Actions.
• System Design:
  Proven experience designing and building medium‑sized applications with around 5,000 daily active users.
• Concurrency Tools:
  Experience handling high concurrency using multiprocessing, multithreading, or actor models.
• Soft Skills:
  
  Excellent problem‑solving abilities, attention to detail, and strong communication skills.

• Model LLM Interface:
  Experience using Lang Chain to interact with GenAI model APIs.
• Full Stack Development:
  Bonus experience in full stack development.
• Front‑end Technologies:
  Familiarity with JavaScript, React, or Next.js.
• Industry/Domain Knowledge:
  Telecommunications domain knowledge is preferable.

Estimated compensation range: $88,200 – $173,500 per annum.

• 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.
• Paid accrued vacation leave (10–20 days per year) based on level and experience.
• 10 paid holidays per year.
• Paid sick and safe leave (at least 80 consecutive hours).
• Paid parental leave (20–70 consecutive business days).
• Bereavement leave (1–7 days).
• Paid jury duty leave.
• Learning opportunities and tuition assistance.
• Wellness and wellbeing programs.

Qualified applicants will receive consideration for employment without regard to race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender identity, family status, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status. CGI provides reasonable accommodations to qualified individuals with disabilities.