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Junior GenAI Developer

Category: Software Development/ Engineering

Main location: United States, Virginia, Reston

Position ID:J0926-0347

Employment Type: Full Time

Position Description:

We are seeking a Junior Generative AI Developer to join our team. This role is ideal for a professional with a background in software engineering and exposure to AI/ML, particularly in the financial or legal domain. You will be responsible for designing and refining prompts for large language models (LLMs), developing data pipelines, and deploying AI solutions that enhance financial reporting and client communication tools. This is a collaborative role that requires both technical expertise and the ability to align AI solutions with business goals.

This role is located at a client site in either Plano, TX or Reston, VA. A hybrid working model is acceptable.

Your future duties and responsibilities:

We are seeking a Junior Generative AI Developer to join our team. This role is ideal for a professional with a background in software engineering and exposure to AI/ML, particularly in the financial or legal domain. You will be responsible for designing and refining prompts for large language models (LLMs), developing data pipelines, and deploying AI solutions that enhance financial reporting and client communication tools. This is a collaborative role that requires both technical expertise and the ability to align AI solutions with business goals.

Required qualifications to be successful in this role:

. 1+ years of experience in software engineering, ideally with exposure to financial or legal systems.
. 1+ years of hands on experience in AI/ML roles, including prompt engineering for LLMs.
. Experience with Python and SQL for data analysis and manipulation.
. Experience with AWS services, especially SageMaker, S3, Redshift, and Lambda.
. Understanding of financial data, KPIs, and reporting standards.
. Familiarity with building and maintaining ETL workflows and data pipelines.
. Familiarity with LLMs such as Anthropic Claude or Sonnet.
. Ability to collaborate effectively with cross functional teams including data scientists and business stakeholders.
. Excellent written and verbal communication skills.
. Familiarity with vector databases like FAISS or Pinecone.
. Knowledge of retrieval augmented generation (RAG) techniques.
. Exposure to data visualization tools such as Power BI or Tableau.
. Understanding of MLOps practices and model lifecycle management.

Education:
Bachelor's Degree in Computer Science or a related field is required.

Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $97,300.00 $123,800.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include: . Competitive compensation . Comprehensive insurance options . Matching contributions through the 401(k) plan and the share purchase plan . Paid time off for vacation, holidays, and sick time . Paid parental leave .Learning opportunities and tuition assistance . Wellness and Well being programs

Skills:

• Amazon Web Services Cloud
• Data Visualisation
• Data Visualisation
• Python
• SQL
• Tableau
• ETL