AI Engineer

Posted Yesterday
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Chantilly, VA, USA
In-Office
Expert/Leader
Cloud • Information Technology • Software • Cybersecurity
The Role
Build and deploy production AI, ML, and GenAI systems, including model pipelines, LLM applications, vector and graph database orchestration, ETL workflows, APIs, microservices, and distributed infrastructure. The role requires advanced Python, cloud and MLOps expertise, secure and governed AI development, multimodal orchestration, data lineage, and experience operating in air-gapped or hybrid environments. The engineer will also mentor technical teams and standardize engineering practices.
Summary Generated by Built In

PID: 26-22-10-012

Summary

E-INFOSOL LLC is seeking a motivated and results-driven AI Engineer to join our growing team in Chantilly, VA.

Key Responsibilities

  • Build scalable, production-ready AI/ML/GenAI models, pipelines, and microservices.
  • Develop training, evaluation, and inference pipelines in Python using PyTorch, TensorFlow, or scikit learn.
  • Deploy and manage models with MLOps, CI/CD, containerization, and monitoring frameworks.
  • Implement vector databases, embeddings, LLM applications, agentic AI, and tool calling workflows.
  • Optimize models for accuracy, latency, cost, and scalability across distributed environments.
  • Ensure AI governance, documentation, ethical compliance, and secure posture alignment.
  • Provide technical mentorship and drive cross-team engineering standardization.

Required Qualifications

  • Active Top-Secret clearance with capability to obtain SCI/CI Poly if needed to meet contract requirements.
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline (or equivalent experience).
  • Minimum 10 years of specialized AI/ML engineering experience.
  • Advanced Python skills and strong understanding of algorithms, data structures, and distributed systems.
  • Hands-on experience deploying production GenAI/LLM systems, embeddings, and vector databases.
  • Proficiency with PyTorch, TensorFlow, scikit learn, and cloud platforms (AWS, Azure, or GCP).
  • Practical experience with MLOps tools such as MLflow, Azure ML, or Vertex AI.
  • Background in NLP, computer vision, or reinforcement learning.
  • Experience working in agile engineering environments.

Required Skills

  • In-house custom developed application
  • Advanced AI, GenAI & Multi-Model Engineering
  • Multi-model and multi-modality orchestration (reasoning, perception, memory, tool execution)
  • Temporal, spatial, geographic, quantitative, and computer vision AI implementation
  • Named Entity Recognition (NER), contextual entity extraction, and resolution
  • Multi-step retrieval and structured output generation
  • Complex data parsing and streamlined ingestion
  • Deep source citation and traceable analytic outputs
  • Data Architecture & ETL
  • Vector, graph, and multi database orchestration
  • Automated ETL pipeline creation, scheduling, and optimization
  • Attribute Based Access Control (ABAC) at the data layer
  • Provenance and end to end data lineage tracking
  • Schema aligned ingestion and normalization of diverse structured and unstructured data
  • Enterprise Infrastructure & CrossDomain Solutions
  • Air gapped, hybrid, and on premise operational environments
  • Container orchestration and distributed systems management (Kubernetes)
  • Locally hosted GPU servers and hyperconverged nodes
  • Multitenant CrossDomain Solutions (CDS)
  • Application Development & Integration
  • UI, backend, and middleware engineering (TypeScript, React, Python, FastAPI,
  • LanceDB, lance graph, PostgreSQL, Temporal.io, Docker, Kubernetes)
  • Integration of reasoning components, retrieval systems, databases, and AI / GenAI services
  • Use of modern programming languages and frameworks

Desired Skills

  • Experience in federal, defense, or highly regulated environments.
  • Knowledge of ethical AI, governance frameworks, and secure development practices.
  • Skills in large-scale optimization, GPU acceleration, or distributed training.
  • Experience building APIs, microservices, and automated ML workflows.

About E-INFOSOL

E-INFOSOL is a Service Disabled and Veteran Owned Small Business (SDVOSB) located in the Washington, D.C. metropolitan area. We specialize in building modern and tailored solutions to support our customers’ mission. As a mission-first organization, we deliver Subject Matter Expertise (SME) in cloud computing, virtualization, cyber security, software development and data services. We support the Intelligence Community, Department of Defense, Federal Law Enforcement, Civilian Agencies and the Private Sector.

Through strategic partnerships with top industry players such as Amazon Web Services (AWS), Broadom, Microsoft and Cisco, E-INFOSOL provide an array of IT products and solutions. Combined with our industry expertise, we deliver in-depth knowledge on Government requirements and fully understand NIST and DoD security requirements. Our expertise in the latest technologies combined with our understanding of infrastructure needs and security requirements provides the best combination for achieving innovative and secure environments for Government Agencies and Private Sector.

Career Growth

“Putting People First, Achieving our Mission Together”. E-INFOSOL is a people-first organization focusing on a positive employee culture that inspires creativity and innovation in support of our customers. With opportunities such as reimbursement and bonuses based on completion of certifications, we invest in our employees’ career growth.

Benefits

  • Medical – 100% company paid premiums for employees with dependent options.
  • Dental and Vision
  • Retirement Savings (401k) up to 4% match
  • Health Savings Account (HSA), FSA and DCFSA
  • Company-paid Short/Long-term disability (w/ additional supplemental options)
  • Company-paid Life and AD&D (w/ additional supplemental options)
  • Generous Paid Time Off and ALL 11 Federal Holidays
  • Legal and Identity Protection Services
  • Bonuses for certifications and reimbursement
  • Employee Perks:
  • UberOne, Company Outings (Sporting events, Happy Hours, etc.), Discounts on services including Pet Insurance

Company Awards

  • SBA 8(a) Certified
  • SDVOSB
  • GSA Contract Holder
  • Inc. 5000

Equal Employment Opportunity Policy

E-INFOSOL LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. 

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Website: E-INFOSOL.com

Skills Required

  • Active Top Secret security clearance
  • Ability to obtain SCI/CI Poly if needed for contract requirements
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline, or equivalent experience
  • At least 10 years of specialized AI/ML engineering experience
  • Advanced Python skills
  • Strong understanding of algorithms, data structures, and distributed systems
  • Production experience deploying GenAI and LLM systems, embeddings, and vector databases
  • Proficiency with PyTorch, TensorFlow, and scikit-learn
  • Experience with AWS, Azure, or GCP
  • Experience with MLOps tools such as MLflow, Azure ML, or Vertex AI
  • Background in NLP, computer vision, or reinforcement learning
  • Experience working in agile engineering environments
  • Experience with multimodel and multimodality orchestration, including reasoning, perception, memory, and tool execution
  • Experience with named entity recognition, contextual entity extraction, and entity resolution
  • Experience with retrieval systems, structured output generation, complex data parsing, and source citation
  • Experience with data architecture, ETL pipelines, data normalization, access controls, provenance, and data lineage
  • Experience with vector, graph, and multi-database orchestration
  • Experience with air-gapped, hybrid, and on-premises environments
  • Experience with Kubernetes, container orchestration, and distributed systems
  • Experience with TypeScript, React, Python, FastAPI, LanceDB, Lance Graph, PostgreSQL, Temporal.io, and Docker
  • Experience in federal, defense, or highly regulated environments
  • Knowledge of ethical AI, governance frameworks, and secure development practices
  • Experience with large-scale optimization, GPU acceleration, or distributed training
  • Experience building APIs, microservices, and automated ML workflows
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The Company
HQ: Calverton, MD
45 Employees
Year Founded: 2010

What We Do

E-INFOSOL is a mission-focused IT services company that builds tailored technology solutions for government and commercial customers. It provides subject-matter expertise in cloud computing, virtualization, cybersecurity, software development, and data services, supporting the Intelligence Community, Department of Defense, federal law enforcement, civilian agencies, and private-sector clients. The company also supplies IT products through partnerships with AWS, VMware, Microsoft, and Nutanix, and brings knowledge of government, NIST, and DoD security requirements.

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