Full-Time

Senior Forward Deployed Engineer

Forward Deployed Engineer

LTS

LTS

201-500 employees

Builds, deploys, sustains mission-critical federal IT

Compensation Overview

$178k - $300k/yr

No H1B Sponsorship

Remote in USA

Remote

U.S. citizen or permanent resident required; remote within the United States.

US Citizenship Required

Category
Software Engineering (2)
,
Required Skills
LLM
Microsoft Azure
Python
JavaScript
Machine Learning
Java
RAG
TypeScript
Microservices
C#
AWS
Observability
REST APIs
DevOps
Google Cloud Platform

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Requirements
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical discipline (or equivalent experience)
  • 5+ years of experience in software engineering, AI engineering, machine learning, data engineering, or related technical roles
  • Experience designing and developing modern software applications using one or more programming languages such as Python, Java, C#, JavaScript, or TypeScript
  • Experience designing, building, and deploying AI/ML or Generative AI solutions in production environments
  • Experience leading technical workstreams and translating complex business requirements into scalable technical solutions
  • Experience developing REST APIs, microservices, distributed systems, or enterprise integrations
  • Experience working with cloud platforms such as AWS, Microsoft Azure, Google Cloud Platform, or hybrid cloud environments
  • Experience with CI/CD pipelines, version control, automated testing, and DevOps practices
  • Strong customer-facing communication, presentation, and consulting skills
  • Proven ability to lead technical teams in fast-paced, agile delivery environments
  • Ability to travel as required by project needs
Responsibilities
  • Partner directly with customer stakeholders to understand business objectives, operational challenges, and technical requirements
  • Translate complex customer needs into scalable AI-enabled software solutions
  • Lead technical discovery sessions, architecture workshops, and solution design discussions
  • Collaborate with customer leadership, product owners, architects, and engineering teams to drive successful project outcomes
  • Serve as a trusted technical advisor throughout solution implementation and deployment
  • Build and maintain strong customer relationships while managing expectations and ensuring successful delivery
  • Guide customers in adopting AI technologies and modern engineering best practices
  • Mentor engineering teams and promote technical excellence across engagements
  • Design, develop, test, and deploy AI-enabled applications, intelligent automation solutions, and modern software platforms
  • Build scalable backend services, APIs, integrations, and workflows using modern software engineering practices
  • Develop solutions utilizing large language models (LLMs), retrieval-augmented generation (RAG), agentic AI, machine learning, and other emerging AI technologies where appropriate
  • Design secure, scalable, and maintainable architectures that balance performance, reliability, governance, and cost
  • Deliver clean, production-quality, well-tested, and well-documented code
  • Implement CI/CD pipelines, automated testing, monitoring, logging, and observability
  • Develop reusable frameworks, software components, documentation, and engineering accelerators that improve delivery across projects
  • Lead technical workstreams and provide engineering leadership across multiple projects
  • Support solution planning, estimation, architecture reviews, and technical decision-making
  • Mentor junior and mid-level engineers through design reviews, code reviews, and technical coaching
  • Contribute to proposals, technical presentations, demonstrations, proof-of-concepts (POCs), and customer solution workshops
  • Help establish engineering standards, best practices, and reusable intellectual property across the organization
  • Stay current on emerging AI technologies, cloud platforms, software engineering trends, and industry best practices
Desired Qualifications
  • Experience developing Generative AI applications using LLMs, Retrieval-Augmented Generation (RAG), agentic AI, intelligent automation, or multi-agent systems
  • Experience with vector databases, embeddings, prompt engineering, model evaluation, AI governance, or AI safety practices
  • Experience implementing MLOps or LLMOps practices including model deployment, monitoring, evaluation, and lifecycle management
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes
  • Experience with modern data engineering technologies including Spark, Airflow, Kafka, streaming platforms, or enterprise data architectures
  • Experience integrating enterprise systems through APIs, event-driven architectures, or messaging platforms
  • Familiarity with security, privacy, governance, and compliance best practices
  • Experience supporting federal, healthcare, defense, or other regulated industry customers
  • Experience contributing to business development activities, technical proposals, solution demonstrations, or proof-of-concepts
  • Experience mentoring engineers and building reusable engineering frameworks, accelerators, or technical assets

LTS provides both consulting and hands-on implementation for mission-critical needs in government and health, including disaster response, healthcare kiosks, occupational health, and federal IT work. Its approach combines program management, systems integration, and operations support to design, build, deploy, and sustain infrastructure and programs in the field. The company differentiates itself with end-to-end delivery across the full project lifecycle for government and health contexts, backed by experience across federal, state, local, and tribal levels and an emphasis on regulatory and security requirements. Its goal is to turn plans into durable, operational programs that keep communities safe and healthy.

Company Size

201-500

Company Stage

N/A

Total Funding

N/A

Headquarters

Herndon, Virginia

Founded

2005

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Simplify Jobs

Simplify's Take

What believers are saying

  • Combined entity becomes North America's largest mobile on-site refueling player.
  • Market reach expanded significantly for national and local rail customers.
  • Operational scale strengthened post-acquisition with 150% revenue growth.

What critics are saying

  • Velocity dominates mobile refueling, threatening LTS pricing power within 12 months.
  • Over-leverage and integration failures risk new ownership stability soon.
  • LTS may lose operational autonomy and face aggressive cost-cutting in 3 months.

What makes LTS unique

  • LTS offers route-based mobile refueling complementing Velocity's locomotive services.
  • Founded in 1998, LTS operates across 50 states with Texas facilities.
  • LTS executed 15 strategic acquisitions under Lindsay Goldberg since 2020.

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Benefits

Remote Work Options

Flexible Work Hours