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Engineer Sr Lead, Software
FIS Management Services LLC
United States
Experience leading complex software initiatives involving multiple systems, teams and stakeholder groups.
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Project Engineer
Flatiron Construction Corp
San Diego, CA
- $115,000 USD / year
Ready to drive financial accuracy and project success? As a Project Engineer, you will track and analyze cost data, ensuring our projects stay on budget. Your expertise in resource…
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Systems Engineer
Bespoke Technologies
Bethesda, MD
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Added 1 min ago
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Radar Engineer
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- $61,000 to $141,000 USD / year
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MLOps Senior Engineer - Remote
Kforce
Remote, United States
- $38 to $47 USD / hour
Kforce has a client seeking a Remote MLOps Senior Engineer to join their team. The MLOps Senior Engineer will support the development and operation of scalable machine learning solutions in…
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ELSUR Collection Systems Database Engineer Mid
Kforce
Mc Lean, VA
- $50 to $70 USD / hour
Kforce's client in McLean, VA is seeking an experienced ELSUR Collection Systems Database Engineer to support the development, management, and administration of ELSUR collection system…
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Senior Hardware Design Engineer
Kforce
Tempe, AZ
- $180,000 to $220,000 USD / year
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Test Engineer
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El Segundo, CA
- $160,000 to $200,000 USD / year
ITEA Certified Test & Evaluation Professional and, or INCOSE Certified Systems Engineer Professional credentials.
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Site Representative Systems Engineer
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Tucson, AZ
SSI is seeking a Site Representative Systems Engineer for a role in Tucson, AZ.
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Configuration Management Systems Engineer
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SSI is seeking a Configuration Management Systems Engineer for a role in El Segundo, CA.
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Arlington, VA · Southland Park, KY
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E-Infosol LLC

AI Engineer

Chantilly, VA, United States

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Job details

Experience: Minimum 10 years of specialized AI/ML engineering experience.
Posting language: English

Original job description

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

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More about this job

Skills

ML
Microservices
Python
PyTorch
TensorFlow
Scikit-learn
CI/CD
Documentation
Regulatory compliance
Computer science
Computer technology
AWS
Microsoft Azure
Google Cloud
Mlflow
Natural language processing
Data engineering
Scheduling
Unstructured data
Kubernetes
TypeScript
React
PostgreSQL
Docker
Programming languages
Cloud computing
Security regulations

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