AI Engineer

Job Description:

• Design, develop, and deploy enterprise AI applications, AI agents, copilots, and intelligent workflow solutions across manufacturing and corporate domains.
• Build and maintain AI orchestration pipelines utilizing LLMs, retrieval-augmented generation (RAG), vector search, prompt frameworks, and agent-based architectures.
• Develop scalable AI integration patterns between enterprise platforms such as Snowflake, Salesforce, ERP systems, SCADA/OT systems, document repositories, and collaboration platforms.
• Collaborate with data scientists and business stakeholders to operationalize machine learning and generative AI solutions into production environments.
• Design APIs, middleware, and integration services supporting AI-driven automation and cross platform communication.
• Develop and optimize semantic search, enterprise knowledge retrieval, and conversational AI capabilities.
• Support the implementation of AI governance, security, observability, model evaluation, and human-in-the-loop approval processes.
• Drive enterprise AI architecture strategy and standards, partnering across teams to define approaches for AI platforms, orchestration, deployment, and lifecycle management.

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, AI, or related technical discipline.
• 6+ years of experience in software engineering, AI engineering, machine learning engineering, or related technical roles.
• Strong proficiency in Python and experience developing APIs, backend services, and automation frameworks.
• Hands‑on experience with LLMs, prompt engineering, AI agents, RAG architectures, and vector databases/search technologies.
• Experience with modern AI frameworks and orchestration tools (Lang Chain, Lang Graph, Semantic Kernel, Auto Gen, CrewAI, or similar).
• Experience integrating enterprise systems using REST APIs, event‑driven architectures, or middleware platforms.
• Familiarity with cloud and data platforms such as Snowflake, Azure, AWS, Databricks, or similar ecosystems.
• Strong understanding of software engineering best practices including Git, CI/CD, testing, monitoring, and deployment pipelines.
• Excellent communication and cross-functional collaboration skills.
• Preferred Qualifications include a Master’s degree in Computer Science, Software Engineering, Data Science, AI, or related technical discipline.

• Competitive pay
• Great benefits package