PID: 26-22-10-019
SummaryE-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.
Benefits- Medical - company subsidized premiums for employees, including family and 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
Website: E-INFOSOL.com
