Highlights
Work on cutting-edge AI applications; partner with ML engineers; scalable backend services.
Description
Job Summary
pJoin Element Solutions Inc as a Data and AI Platform & Infrastructure software engineer. You will play a pivotal role in building bespoke applications that support our production AI systems, partnering closely with ML engineers to take models from prototype to scalable workflows.
Responsibilities
- Build and operate backend services, APIs, and web applications enabling AI in production.
- Partner with ML engineers to transition models from prototypes into production workflows.
- Owning features end-to-end from rapid prototyping to production deployment across frontend, backend, and cloud infrastructure.
- Automate delivery via CI/CD pipelines, continuously improving performance, reliability, and observability in cloud environments.
Required Skills
- Python for scalable backend services
- Experience with cloud platforms (Azure preferred)
- NoSQL databases, particularly Azure Cosmos DB
- CI/CD pipelines and automated testing
- Containerization with Docker and IaC (Terraform)
Required Skills Explained
- Strong proficiency in Python for building and maintaining scalable backend services, APIs, automation, and data processing workloads.
- Advanced SQL expertise in relational modeling, complex queries, performance optimization, and transactional integrity.
- Experience with modern frontend frameworks such as React, Vue, or Angular, and integrating them with backend APIs.
- Proven experience designing, deploying, and operating applications on cloud platforms like Azure, AWS, or GCP.
- Strong understanding of secure cloud architecture patterns including networking, secrets management, identity and access management, and least-privilege access controls.
- Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, containerization using Docker, and cloud-native monitoring and observability solutions.
- Experience with NoSQL databases like Azure Cosmos DB for high-scale, low-latency distributed applications.
- Expertise in designing data access patterns for scalable distributed applications and building embedding-based semantic search systems.
- Familiarity with LLM application frameworks such as LangChain or Semantic Kernel, and experience with LLM operational concerns like latency, token cost optimization, observability, and model lifecycle management.
Who is this for
pThis position is ideal for individuals passionate about building robust backend systems and automating delivery processes. You should have strong experience in cloud platforms, NoSQL databases, and CI/CD pipelines.
Why This Job is a Good Opportunity
ulliOpportunity to work on cutting-edge AI technologies within a leading specialty chemicals company.liCollaborate with cross-functional teams including data scientists and engineers to drive innovation in the industry.liWork on diverse projects that have direct impact on product development across multiple sectors like automotive, electronics, and more.liJoin a supportive culture focused on Challenge, Commit, Collaborate, Choose, and Care, fostering personal and professional growth.liPotential for career advancement within Element Solutions Inc’s rapidly growing Data and AI division.liCompetitive salary with additional benefits including performance-related bonuses and comprehensive insurance packages.
Interview Preparation Tips
- Review the job description thoroughly to understand key requirements and responsibilities.
- Pick out specific technical skills mentioned, such as Python and cloud platforms, and prepare examples of how you have used them in previous roles.
- Practice explaining complex concepts like embedding-based semantic search or RAG pipelines in simple terms.
- Discuss your experience with CI/CD pipelines and how you ensure reliability and observability in cloud environments.
- Showcase examples of past projects where you demonstrated hands-on experience with NoSQL databases or LLM application frameworks.
- Prepare questions about the team dynamics, culture, and specific challenges within the AI Enablement Team at Element Solutions Inc.
Career Growth in This Role
pIn this role, you can expect significant opportunities for career growth. With a focus on building bespoke applications and backend services that support Data and AI systems in production, you will have the chance to work with cutting-edge technology across multiple industries. As your skills advance, there are pathways to lead more complex projects or take on managerial roles within the team. Additionally, Element Solutions Inc’s strong emphasis on innovation means ongoing learning and development opportunities are readily available. This position not only offers professional growth but also allows you to contribute meaningfully to the company’s mission of enhancing product performance through advanced technology.
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Skills
Frequently Asked Questions
What cloud platform experience is preferred?Experience with Azure is preferred; however, AWS or GCP are acceptable.
Is this position suitable for someone new to data engineering?While experience is required, there's an opportunity for hands-on learning and growth in a dynamic environment.
What benefits come with the job?Competitive salary, performance-based bonus scheme, comprehensive insurance benefits, and free meals on working days.
