Senior AI/ML Software Engineer
Senior AI/ML Software Engineer
NvidiaThis job is no longer accepting applications
Job Description
We are looking for a highly motivated AI/ML Software Engineer to join the Enterprise Agentic AI Platform team within IT. You will work closely with Business Analysts, and Engineering teams to design, develop, and deploy enterprise AI solutions that improve productivity and automate business workflows across Engineering, Operations, and Manufacturing.
What You'll Be Doing
What You'll Be Doing
- Design, develop, and deploy Agentic AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration frameworks.
- Build scalable AI services and reusable components integrated with enterprise applications such as PLM, SAP, and other business systems.
- Collaborate with business and IT teams to translate business requirements into AI-driven solutions.
- Develop secure, scalable APIs and enterprise integrations to enable intelligent workflows and automation.
- Improve AI solution quality, performance, and reliability through prompt engineering, evaluation, and continuous optimization.
- Partner with cross-functional teams throughout the Software Development Lifecycle (SDLC), from solution design through deployment and production support.
- Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or a related field.
- 6+ years of software engineering experience with strong proficiency in Python and backend application development.
- Hands-on experience with Generative AI, LLMs, RAG, AI agents, REST APIs, and cloud-native application development.
- Experience integrating enterprise applications and building scalable, production-ready software solutions.
- Strong analytical, problem-solving, communication, and collaboration skills.
- Self-driven individual with the ability to work independently in a fast-paced environment.
- Experience with Agentic AI frameworks, Model Context Protocol (MCP), LangChain, LangGraph, or Semantic Kernel.
- Experience with Azure AI Services, Azure OpenAI, AI Search, vector databases, or enterprise AI platforms.
- Knowledge of Engineering, PLM, Manufacturing, or Supply Chain business processes.
- Experience building enterprise AI copilots, intelligent assistants, or workflow automation solutions.
More Info
Key Skills
About Company
Skills:
containerization , Java, Databases, Apis, Automated Testing, Microservices, Kubernetes, Python, orchestration technologies, Go, cloud platforms, generative AI tools, stream-processing technologies, observability tooling, data engineering pipelines
Skills:
Algorithms, Debugging, Data structures, Python, ML infrastructure, Model deployment, reinforcement learning, Data Processing, Optimization, Model evaluation
Skills:
containerization , Docker, Asynchronous programming, Python, Kubernetes, LLM agents, cloud platforms, vector databases, gRPC APIs, LLM evaluation frameworks, model serving, agentic workflows, AI pipelines, AI lifecycle, model registries, LLM-based production systems
Skills:
Java, Regression Testing, Typescript, Containers, Kubernetes, Python, runtime guardrails, orchestration frameworks, CrewAI, observability for non-deterministic outputs, serverless, Go, retrieval-augmented generation agents, Semantic Kernel, AutoGen, LangGraph, vector stores, observability stacks, tool use prompt design, Model Context Protocol tooling, LLM-powered applications, prompt and agent versioning, evaluation and LLMOps practice
Skills:
.Net Core, Kubernetes, Windows, Microsoft Technologies, Linux, virtualization, AWS, Azure, Gcp, Apis, messaging systems, cloud environments, non-relational databases, OpenAI, REST Web APIs, Azure OpenAI, AI ML fundamentals, Relational Databases, AI-enabled features, SDKs, AI-assisted coding tools, vector search embeddings, LLM usage patterns, AWS GCP AI services