LTS
Senior Agentic AI Software Engineer
United States - Remote · Senior
Sponsorship not specifiedDetected 1 day ago
PythonDistributed SystemsBackend DevelopmentGitVector DatabasesAWSAzureCloud PlatformsDockerKubernetesCI/CDDevOpsMachine LearningLLMsRAGAgentic AILLMOpsMLOpsLangGraphCybersecurityZero TrustLeadershipCommunicationCollaboration
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odds of building a lasting career here
16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- The product has executive sponsorship, committed users, and a customer investing in long-term modernization.
- Our engineering team is intentionally small.
- Every engineer has meaningful ownership, significant technical influence, and the opportunity to help define how AI transforms software engineering.
Responsibilities
- Build Intelligent Agentic Systems
- Design, develop, and deploy autonomous and multi-agent AI systems capable of reasoning, planning, tool use, workflow automation, and human-in-the-loop collaboration.
- Build intelligent orchestration pipelines coordinating LLMs, specialized agents, enterprise tools, and structured reasoning workflows.
- Develop reusable agent architectures and orchestration patterns that accelerate intelligent application development across the platform.
- Build Production Software
- Design and implement scalable backend services, APIs, and cloud-native applications supporting enterprise AI workloads.
- Develop distributed systems capable of serving low-latency AI experiences while maintaining security, reliability, and observability.
- Optimize performance, latency, throughput, model quality, and infrastructure cost across production AI systems.
- Deliver Reliable AI
- Implement testing, evaluation, monitoring, observability, guardrails, and LLMOps practices to ensure AI systems remain trustworthy and production-ready.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Engineering, or a related technical discipline (or equivalent professional experience).
- Strong proficiency in Python and modern backend software engineering.
- Experience integrating AI systems with enterprise APIs, databases, cloud platforms, and business applications.
- Experience with Docker, Kubernetes, Git, CI/CD pipelines, and modern DevOps practices.
- Strong understanding of software architecture, testing, observability, debugging, and production operations.
- Excellent communication skills with the ability to explain complex technical concepts to both engineering and business stakeholders.
- Ability to solve difficult engineering problems from first principles.
- Ability to think deeply about system architecture, reliability, and scalability.
- Ability to move comfortably between distributed systems, AI frameworks, and product engineering.
- Every response generated by the platform must be explainable, grounded in evidence, and trusted by engineers responsible for maintaining software that millions of people quietly depend on every day.
Nice to have
- Experience with OpenAI, Azure OpenAI, Anthropic Claude, Google Vertex AI, AWS Bedrock, or open-source LLMs.
- Experience with vector databases such as Pinecone, Weaviate, Qdrant, Milvus, or Azure AI Search.
- Experience implementing LLMOps or MLOps practices.
- Familiarity with graph databases, knowledge graphs, or dependency analysis.
- Experience working with software engineering tools, code intelligence platforms, or developer productivity products.
- Familiarity with Responsible AI, AI governance, privacy, security, and compliance best practices.
- What's In It for You?
- A culture that values innovation, growth, and collaboration
Compensation
- ranges are provided for informational purposes, and final compensation may vary based on experience, skills, location, and role requirements.
Benefits
- 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.
Visa & Work Authorization
- The product has executive sponsorship, committed users, and a customer investing in long-term modernization.
This listing is sourced directly from LTS's careers page and normalized into a canonical job model.