AI Prompt Engineer
TEKsystems
Remote
$161,200 Salary, Full-Time
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Job Description
- Job Description
EDUCATION AND EXPERIENCE REQUIREMENT
- Masters' degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
- Minimum 8 years of relevant experience in data science, analytics, machine learning, artificial intelligence or a similar role.
- Strong experience and track record of prompt engineering, context engineering, Retrieval Augmented Generation, LLM ingest.
- Additional experience may be substituted for educational requirements where appropriate.
- Candidates must be able to obtain and maintain a Public Trust clearance based on USPTO regulations
- Candidates must have lived in the United States continuously for the last 2 years
- Responsibilities and Duties
- Develop end-to-end plans for cloud native
AI/ML/NLP
innovations that are compliant with cybersecurity policies.- Develop and engineer pilots, prototypes, and proof of concept solutions to validate emerging technology, modernization, and innovation opportunities.
- Optimize LLM responses through iterative prompt engineering / context engineering / RAG refinement.
- Implement predictive models, machine learning algorithms, and statistical analyses to solve complex business problems.
- Develop low risk implementation plans and present business briefings, recommendations, and demonstrations to executives and technical stakeholders in a clear manner based on data architecture best practices
- Implement transparency, traceability, and appropriate security handling in line with best practices and applicable compliance standards including Authorization To Operate (ATO) certifications.
- Collaborate with cross-functional teams including data engineering, product, and business stakeholders to translate requirements into data-driven solutions.
- Support total experience initiatives including customer experience, user experience and human centered design through focus groups, metrics, wireframes, mockups, and information architecture development.
- Develop reusable code libraries and best practices for modernization and innovation development and deployment.
- Stay current with advancements in AI and LLM's, research ML/NLP opportunities.
- Support Agile product teams in integrating and operationalizing emerging technologies and data strategies.
- Analyze data and usage to find patterns and solutions to business challenges.
- Track record of delivering impactful emerging technology value including
AI/ML/NLP
innovations and data-driven solutions in cloud native environments.- Strong communication and teamwork abilities.
Programming Languages:
Python, R, SQL, JavaAI, ML, NLP
Frameworks, models, and tools- Terraform and Gitlab Pipelines
- Machine Learning & Statistical Tools PyTorch
- Experience with Databricks
- Data Manipulation & Analysis
- Visualization Tools Tableau, Power BI
Big Data & Cloud Platforms:
Hadoop, Hive, AWS (S3, SageMaker, Redshift), Azure, and GCPVersion Control & Collaboration:
Git, Docker- Suitable combination of education, training, or experience maybe substituted for education.
- Top Skills/TEchnologies
- AWS, Python, PyTorch, LLM, Prompt Engineering, Terraform, GitLab, Cloud, Databricks, Java
- Job Type & Location
- This is a Contract to Hire position based out of Reston, VA.
- Pay and Benefits
- The pay range for this position is $75.00 - $80.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
- Medical, dental & vision
- Critical Illness, Accident, and Hospital
- 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
- Life Insurance (Voluntary Life & AD&D for the employee and dependents)
- Short and long-term disability
- Health Spending Account (HSA)
- Transportation benefits
- Employee Assistance Program
- Time Off/Leave (PTO, Vacation or Sick Leave)
- Workplace Type
- This is a fully remote position.
- Application Deadline
- This position is anticipated to close on May 25, 2026.
San Francisco Fair Chance Ordinance:
- Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
Massachusetts Lie Detector:
- It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
- Use of Artificial Intelligence (AI):
- We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates.
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