LTS
Senior Forward Deployed Engineer (FDE)
United States - Remote · Senior
Sponsorship not specified$178k-$300kDetected 13 days ago
JavaScriptPythonJavaC#Distributed SystemsBackend DevelopmentCode ReviewVector DatabasesAWSGCPAzureCloud PlatformsDockerCI/CDDevOpsRESTKafkaMachine LearningSparkAirflowData EngineeringData ScienceLLMsRAG
About the role
- Pay Range $178,000 - $300,000 USD LTS shares salary ranges to promote transparency.
Responsibilities
- Partner directly with customer stakeholders to understand business objectives, operational challenges, and technical requirements.
- 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.
- Build and maintain strong customer relationships while managing expectations and ensuring successful delivery.
- 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.
- 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.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical discipline (or equivalent experience).
- Experience leading technical workstreams and translating complex business requirements into scalable technical solutions.
- Experience with CI/CD pipelines, version control, automated testing, and DevOps practices.
- Ability to travel as required by project needs.
- U.S. Citizen or Permanent Resident Required with the ability to obtain a Public Trust
Nice to have
- 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 contributing to business development activities, technical proposals, solution demonstrations, or proof-of-concepts.
- What's in it for you?
Compensation
- $178,000 - $300,000 USD
- LTS shares salary ranges to promote transparency. Compensation ranges are provided for informational purposes, and final compensation may vary based on experience, skills, location, and role requirements.
Benefits
- Develop solutions utilizing large language models (LLMs), retrieval-augmented generation (RAG), agentic AI, machine learning, and other emerging AI technologies where appropriate.
- LTS is committed to offering eligible employees comprehensive benefits that will provide them with options intended to meet their needs and the needs of their family.
Company info
- Guide customers in adopting AI technologies and modern engineering best practices.
Visa & Work Authorization
- Citizen or Permanent Resident Required with the ability to obtain a Public Trust
This listing is sourced directly from LTS's careers page and normalized into a canonical job model.