Staff AI Software Engineer

Reposted 17 Days Ago
Be an Early Applicant
Debrecen, Debreceni járás, Hajdú-Bihar, HUN
Hybrid
Mid level
Internet of Things • Energy
The Role
As a Staff AI Software Engineer, you will design AI-enabled software solutions, integrate various applications, and aid in developer enablement while collaborating with teams to deliver impactful results.
Summary Generated by Built In

In This Role, Your Responsibilities Will Be:

You will design and develop AI‑enabled software solutions that accelerate productivity across Emerson’s Test & Measurement business unit, NI, using a breadth of tools beginning with Microsoft Copilot and Power Platform. You will rapidly prototype and iterate on ideas, using AI to quickly learn new technologies and deliver working solutions with short feedback loops. You will integrate applications with enterprise systems—initially within the Microsoft ecosystem and expanding to platforms such as Snowflake, Salesforce, and Oracle. You will collaborate closely with product owners, analysts, and business partners to validate needs and deliver solutions that create measurable value. You will also build reusable patterns and guide others in effective use of AI tools, strengthening developer enablement across NI. Throughout your work, you will navigate ambiguity confidently, adapt to shifting priorities, and uphold high standards for software quality, security, and reliability.

Who You Are:

You are a hands‑on senior engineer who thrives in fast‑moving environments and enjoys building solutions that solve real business problems. You learn quickly, adapt confidently to new technologies, and are energized by ambiguity. You are not afraid to experiment, fail fast, and iterate toward better solutions. You communicate clearly, collaborate broadly, and are comfortable presenting new tools or prototypes to both technical and non‑technical audiences. You enjoy enabling others as much as building yourself.

Required Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience).
  • 4+ years of professional software engineering experience, including delivery of production‑quality applications.
  • Strong proficiency in at least one modern programming language, with experience in Python and modern web frameworks (e.g., React, Vue, or similar).
  • Demonstrated experience building applications that integrate LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.).
  • Experience developing full‑stack applications, integrating AI capabilities into intuitive user interfaces and stable back‑end services.
  • Experience with Azure or other cloud platforms, including containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.
  • Understanding of RAG architectures, vector databases, embeddings, and semantic search concepts.
  • Proven ability to rapidly prototype solutions, validate approaches, and iterate quickly.
  • Strong analytical and problem‑solving skills with high attention to detail.
  • Strong communication skills, including the ability to present and demonstrate technology to business partners.

Preferred Qualifications

  • Experience with Azure AI services (Azure OpenAI, Cognitive Services, AI Foundry).
  • Familiarity with agentic AI frameworks (LangChain, Semantic Kernel, AutoGen).
  • Experience working with enterprise data platforms (Databricks, Snowflake).
  • Experience with MLOps tools and model lifecycle practices.
  • Knowledge of industrial, manufacturing, or test & measurement domains.
  • Prior experience collaborating within globally distributed teams.

Technical Skills

  • Languages: Python, JavaScript/TypeScript, SQL
  • AI/ML: LLM APIs, RAG architectures, prompt engineering, embeddings, vector stores
  • Front‑End: React, HTML/CSS, responsive design, UI/UX fundamentals
  • Back‑End: FastAPI, Flask, REST APIs, microservices
  • Cloud/DevOps: Azure, Docker, Kubernetes, CI/CD pipelines, Git
  • Data: SQL databases; vector databases such as Pinecone, Weaviate, Azure AI Search; data pipelines

Our Culture & Commitment to You

At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know great ideas come from great teams. Our commitment to continuous development and an inclusive culture ensures you have the support you need to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. Diverse teams working together are key to driving growth and delivering exceptional business results.

This philosophy is fundamental to living our company values and to our responsibility to leave the world better than we found it. 

This role is onsite in Debrecen, Hungary.

Skills Required

  • Bachelor's degree in Computer Science, Software Engineering, or related field
  • 4+ years of professional software engineering experience
  • Strong proficiency in at least one modern programming language, with experience in Python
  • Experience building applications that integrate LLM APIs
  • Experience developing full-stack applications with AI capabilities
  • Experience with Azure or other cloud platforms and containerization
  • Understanding of RAG architectures, vector databases, embeddings, and semantic search
  • Strong analytical and problem-solving skills
  • Strong communication skills
  • Experience with Azure AI services
  • Familiarity with agentic AI frameworks
  • Experience working with enterprise data platforms
  • Experience with MLOps tools
  • Knowledge of industrial domains
  • Prior experience collaborating within globally distributed teams

Emerson Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Emerson and has not been reviewed or approved by Emerson.

  • Retirement Support Retirement programs have been strengthened with a 401(k) plus company-supported contributions such as profit sharing and a recent cash-balance transition for certain participants. These features are positioned as differentiators among large industrial peers.
  • Equity Value & Accessibility An employee stock purchase plan introduced in 2026 enables discounted share purchases via payroll deductions. This adds an accessible ownership element to the total rewards mix.
  • Leave & Time Off Breadth The package includes PTO, holidays, sick leave, and parental leave within a broad benefits suite. Coverage breadth aligns with large-employer norms across locations, though specifics vary.

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The Company
HQ: Saint Louis, MO
50,857 Employees
Year Founded: 1890

What We Do

At Emerson, we’re passionate about what we do. By fusing decades of technology and engineering expertise, Emerson continues to solve some of the world’s most complex challenges with innovative solutions for customers in industrial, commercial, and residential markets. We recruit the greatest talent and apply the best technologies to benefit our customers worldwide. Automation Solutions is a leader in helping process and discrete manufacturers automate and optimize production processes through our best-in-class technologies and industry expertise. Commercial & Residential Solutions develops technologies and services that improve human comfort, safeguard food, protect the environment, enable sustainable food waste disposal, and support efficient construction and maintenance of buildings and municipal infrastructure. Emerson has a wide range of industry knowledge, manufacturing expertise, and technological innovation around the world. Join our next generation of leaders today.

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