About this opportunity
The Solutions Group Llc lists this Senior AI/ML Engineer (Prime) opportunity in corridor north, Maryland. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Make an Impact Where It Matters Most
At Intelliforce, we are building AI-powered capabilities that move beyond experimentation and into real operational use. In this role, you will design, build, evaluate, and deploy AI and machine learning solutions that help teams work with complex data, automate analysis, and solve difficult mission problems.
You will work across generative AI, agentic systems, machine learning, data science, and production software engineering. From building LLM-powered applications and intelligent agents to developing predictive models and production data pipelines, you will help take ideas from prototype through deployment while keeping performance, reliability, security, and scalability in focus.
What Makes This Opportunity Stand Out
This role gives you the chance to work across the full AI lifecycle rather than owning one narrow piece of it. You will build agents, experiment with new models, develop traditional machine learning solutions, work with large and complex datasets, design evaluation strategies, and help determine which approaches are ready for production.
The work is especially well suited for someone who understands that successful AI engineering is more than connecting an application to an LLM. You will think about retrieval, orchestration, tool use, evaluation, latency, cost, data quality, model behavior, production monitoring, and the software engineering required to make AI dependable.
At Intelliforce, your work is visible and your technical judgment matters. Because we support prime programs, our engineers stay close to meaningful mission problems and the people using what they build. Because we are a small business, leadership is accessible, communication is direct, and strong engineering gets noticed. Add in long-term stability, strong benefits, and a people-first culture, and this is an opportunity to help shape how modern AI is applied to real mission challenges.
Here’s What Your Day-to-Day Could Include
Design, build, and deploy AI agents and agentic workflows using large language models
Develop LLM-powered applications using tool and function calling, RAG, memory, orchestration, and multi-step workflows
Evaluate AI systems for accuracy, reliability, latency, cost, and overall quality
Build machine learning models for prediction, classification, recommendation, forecasting, anomaly detection, and optimization
Perform exploratory data analysis, statistical analysis, feature engineering, and experimentation
Develop pipelines that prepare structured and unstructured data for AI and ML applications
Design automated and human-in-the-loop evaluation strategies for LLM and machine learning systems
Create benchmarks, test datasets, and evaluation frameworks to measure model and application performance
Prototype new AI and ML capabilities and assess their readiness for production use
Deploy, monitor, maintain, and improve AI and ML services in production environments
Work with engineering, product, and mission stakeholders to translate difficult problems into practical technical solutions
Integrate AI and ML components into larger software systems and operational environments
Debug performance, data, integration, and model-quality issues
Recommend new technologies and engineering approaches for complex AI software efforts
Minimum Qualifications
Clearance: Top Secret Clearance with Full Scope Polygraph, must be active. We do not have the ability to sponsor clearances
Citizenship: Must be a U.S. Citizen. We cannot sponsor visas
20 years of Software Engineering experience on programs and contracts of similar scope, type, and complexity
Bachelor’s degree in Computer Science or a related discipline from an accredited college or university
Four additional years of Software Engineering experience on projects with similar software processes may be substituted for the bachelor’s degree
Five years of demonstrated cloud experience supporting distributed scalable data technologies and related processing environments
Strong professional experience developing production software and AI or machine learning solutions
Required Skills
Strong proficiency in Python
Experience with common machine learning and data science libraries
Hands-on experience developing applications with LLMs and generative AI models
Experience building AI agents, including orchestration, tool or function calling, prompt design, and workflow design
Experience working with commercial LLM APIs and/or open-source language models
Strong understanding of retrieval-augmented generation, embeddings, vector search, and semantic retrieval
Strong foundation in supervised and unsupervised machine learning
Experience with model selection, feature engineering, validation, and evaluation
Strong data science skills including statistical analysis, experimentation, data exploration, and visualization
Experience working with SQL and large or complex datasets
Experience with machine learning frameworks such as scikit-learn, PyTorch, TensorFlow, or similar tools
Experience deploying AI or ML solutions into production environments
Understanding of APIs, Git, automated testing, CI/CD, and cloud-based software development
Experience with distributed scalable NoSQL or Big Data stores
Experience with MapReduce programming models and related technologies
Experience with Hadoop Distributed File System, HDFS
Experience with serialization formats such as JSON or BSON
Strong software engineering, debugging, and problem-solving skills
Desired Skills
Experience with agent frameworks such as LangGraph, LangChain, LlamaIndex, Semantic Kernel, or similar technologies
Experience with vector databases and search technologies
Experience with MLOps, model monitoring, and production machine learning infrastructure
Experience with AWS, Azure, or Google Cloud AI and ML services
Experience fine-tuning or adapting models for specific use cases
Experience working with open-source LLMs
Familiarity with AI safety, guardrails, observability, and responsible AI practices
Experience rapidly prototyping AI applications and transitioning successful prototypes into scalable production systems
Experience designing evaluation harnesses for generative AI systems
Experience with human-in-the-loop AI workflows
Experience optimizing model inference for latency, throughput, and cost
Experience leading or providing technical direction for complex software development efforts
Compensation Range: $196,000.00 - $252,000.00
This salary range reflects our current market estimate for the role. Final compensation will depend on your experience, technical background, overall qualifications, and alignment with the position. We evaluate each candidate thoughtfully, so offers are shaped around the value you bring to the team
Why Intelliforce? Because you matter—your work, your growth, and your well-being.
At Intelliforce, we don’t just push the boundaries of technology—we partner with some of the most mission-driven teams in defense and beyond to solve challenges that truly matter. As a Systems Engineer here, you won’t just contribute to projects—you’ll help shape outcomes that make a real-world impact.
We also know that great work starts with a great environment. That’s why we invest in you:
Ample PTO to rest and recharge—plus all federal holidays and your birthday off, just because.
Multiple medical plan options , including ones with zero deductible or premium for employees.
Generous 401(k) with immediate vesting—because your future matters now.
Exciting bonus opportunities , from profit sharing to quarterly awards and President’s Club recognition.
A culture of collaboration, connection, and fun , with regular team activities that go beyond the work.
Equal Opportunity Matters
Intelliforce-IT Solutions Group, LLC is proud to be an Equal Opportunity/Affirmative Action Employer. U.S. Citizenship is required for most positions.
Need accommodations during the application process? We’re happy to help. Reach out to us at with your specific request.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.