AI Developer - US jobs in United States
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Siemens · 16 hours ago

AI Developer - US

Siemens is a leading global software company at the forefront of computer-aided design, 3D modeling, and simulation. They are looking for an AI Developer to build and enhance AI-powered capabilities across their software portfolio, focusing on implementing, integrating, and optimizing AI solutions using large language models and agent frameworks.

Artificial Intelligence (AI)ConsultingCyber SecurityInternet of Things
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H1B Sponsor Likelynote

Responsibilities

Design, develop, and deploy AI-powered applications leveraging Large Language Models (LLMs) and Agentic AI systems for natural language understanding, question answering, contextual content generation, and autonomous task execution
Develop and maintain clean, well-structured, and well-documented APIs and services, primarily in Python, enabling reliable integration of AI and agentic capabilities with enterprise platforms
Implement agent-based workflows, including planning, tool usage, memory, and multi-step reasoning, integrating agents with internal tools, services, and data sources
Design, build, and operate data ingestion, transformation, and storage pipelines that handle structured, semi-structured, and unstructured data, support efficient modeling, querying, and retrieval for AI-driven use cases
Collaborate closely with data science and AI teams to productionize models, prompts, agent strategies, and evaluation techniques into scalable, reliable software solutions
Integrate software components and systems, ensuring smooth deployment, monitoring, and operation in production environments
Identify and resolve performance, scalability, and reliability bottlenecks, optimizing AI applications and agent workflows for speed, cost, and resource efficiency
Document APIs, agent behaviors, data flows, and development processes to ensure maintainability and effective knowledge sharing
Stay current with advancements in Generative AI, Agentic AI, and software engineering, contributing ideas and improvements to continuously enhance development practices and product capabilities

Qualification

Generative AIAgentic AIPythonLarge Language ModelsVector databasesGraph databasesNoSQL databasesMachine learning frameworksCloud platformsAnalytical skillsContainerization technologiesCI/CD pipelinesAgile methodologiesProblem-solving skillsCommunication skillsCollaboration skills

Required

Bachelor's or master's degree in computer science, Data Science, Artificial Intelligence, or a related field in software development including SDLC such as GPT-4, LLaMA, Anthropic Claude, or equivalent models
Practical experience with Agentic AI frameworks and patterns, including tools such as Semantic Kernel, AutoGen, Microsoft Agentic Framework, LangChain, LangGraph, OpenAI APIs, or similar technologies
Strong proficiency in Python, with proven experience building, testing, and maintaining production-grade APIs and services using frameworks such as FastAPI, Django, or Flask
Hands-on experience with vector databases (e.g., Chroma, Azure AI Search), graph databases (e.g., Neo4J) and NoSQL databases (e.g., MongoDB, Cosmos DB), including data modeling, query optimization, and application integration
Working knowledge of machine learning frameworks such as PyTorch or TensorFlow, along with familiarity with MLOps practices (model lifecycle management, evaluation, monitoring)
Experience with cloud platforms (AWS, Azure, or GCP) and deploying, scaling, and operating AI/LLM-based applications in production environments
Strong analytical and problem-solving skills, with attention to performance, reliability, and edge cases in real-world systems
Effective communication skills and the ability to collaborate closely with cross-functional teams, including data scientists, product managers, and platform engineers

Preferred

Experience with containerization technologies (Docker, Kubernetes)
Knowledge of CI/CD pipelines and automated testing frameworks
Knowledge of data governance, privacy, and security practices in AI applications
Familiarity with agile development methodologies

Benefits

Flexibility - Choosing between working at home and the office at other times is the norm here.
Great benefits and rewards, as you'd expect from a world leader in industrial software.

Company

Siemens empowers customers to transform the industries that form the backbone of economies: industry, transportation, buildings and grids.

H1B Sponsorship

Siemens has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (20)
2024 (26)
2023 (24)
2022 (26)
2021 (37)
2020 (36)

Funding

Current Stage
Public Company
Total Funding
$7.01B
Key Investors
US Department of Energy
2025-02-20Post Ipo Equity· $1.5B
2024-09-17Grant· $1.5M
2024-09-04Post Ipo Debt· $332.4M

Leadership Team

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Cedrik Neike
CEO Digital Industries
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Nicola Bates
President and CEO of Siemens Capital
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Company data provided by crunchbase