OverviewWe are seeking a
Junior/Mid-Level AI/ML Engineer specializing in Retrieval-Augmented Generation (RAG) to support the development of AI capabilities within an emerging MLOps platform. The engineer will help architect and implement reusable RAG pipelines that transform domain-specific documents and knowledge repositories into searchable, AI-enabled resources.
The role will involve developing document ingestion and processing workflows, integrating embedding models and vector databases, implementing retrieval and LLM-based generation capabilities, and evaluating the quality and reliability of AI-generated responses.
The engineer will work alongside software developers, AI/ML engineers, and systems architects to integrate these capabilities into a scalable, secure platform supporting multiple customer projects.
TravelMinimal CONUS and local travel required
ClearanceAn interim Secret Clearance is required for this position. Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information.
US Citizenship is required to obtain a clearance.Requirements- Hands on experience with software development languages like GO, Python, Javascript, and Vue.js
- Understanding of data storage and retrieval utilizing databases, S3 storage containers and/or VAST storage environments
- AI/ML Knowledge: Entry/Foundational knowledge of ML concepts, intelligent automation capabilities, and the ML model lifecycle (training, validation, deployment, monitoring)
- Understanding on the utilization of CPU and GPU for Machine Learning and Model Training
- Experience with integrating open source, commercial, and internally developed toolsets using Software Development Kits (SDKs) and Application Programming Interfaces (APIs)
ResponsibilitiesThe software developer will work within the current development environment and toolsets to expand and enhance automation capabilities within the Machine Learning Operations (MLOPS) ecosystem. In addition, the software developer will work to automate model training processes to allow efficient repeatability, utilize data and model requirements to design architecture to scale, and inject configuration management of the data sources and model output.
Preferred Skills and Experience- Familiarity or experience with components of a RAG pipeline for domain-based knowledge queries
- Familiarity with Docker and containerized applications
- Familiarity with MongoDB, PostgressSQL, and common SQL and Graph database interactions
EducationA Bachelor of Science (BS) degree from an accredited college or university in an engineering, scientific, or technical discipline is required.
CompensationCompensation at SimVentions is determined by a number of factors, including, but not limited to, the candidate's experience, education, training, security clearance, work location, skills, knowledge, and competencies, as well as alignment with our corporate compensation plan and contract specific requirements.
The projected annual compensation range for this position is $79,000 - $140,000 (USD). This estimate reflects the standard salary range for this position and is just one component of the total compensation package that SimVentions offers.
BenefitsAt SimVentions, we're committed to supporting the total well-being of our employees and their families. Our benefit offerings include comprehensive health and welfare plans to serve a variety of needs.
We offer:
- Medical, dental, vision, and prescription drug coverage
- Employee Stock Ownership Plan (ESOP)
- Competitive 401(k) programs
- Retirement and Financial Counselors
- Health Savings and Health Reimbursement Accounts
- Flexible Spending Accounts
- Life insurance, short- & long-term disability
- Continuing Education Assistance
- Paid Time Off, Paid Holidays, Paid Leave (e.g., Maternity, Paternity, Jury Duty, Bereavement, Military)
- Third Party Employee Assistance Program that offers emotional and lifestyle well-being services, to include free counseling
- Supplemental Benefit Program
FTAC
