Note: The job is a remote job and is open to candidates in USA. Merit Controls is a company focused on refining AI tools for engineering workflows. The AI Solutions Engineer will develop and maintain AI tools, ensuring their accuracy and effectiveness throughout their lifecycle while collaborating with various engineering specifications and data sets.

Responsibilities

• Develop new AI tools from engineering specifications, working from prototype through production
• Implement remediation directly: prompt tuning, training data curation, retrieval improvements, and model selection
• Maintain and extend deployed AI tools through their lifecycle as requirements change
• Execute tools against representative Merit data sets — tag maps, design packages, network schematics, RTAC configurations, Ignition UDTs, SCADA screens — and assess outputs for technical correctness
• Translate specifications and prototypes into validation and test plans aligned with Merit’s AI Tool Validation Standard; document results, failure modes, and remediations
• Monitor deployed tools for performance drift and emerging failure modes; flag conditions requiring re-validation
• Evaluate emerging AI tools and platforms; lead proof-of-concept assessments and inform Merit’s AI tooling roadmap
• Deliver training and frontline support for deployed tools, and contribute to internal AI enablement through case studies, newsletter content, and demo sessions

Skills

• 4-8 years of engineering experience in controls, automation, SCADA, power systems engineering, electrical engineering, or a comparable domain involving direct work with tag maps, PLC logic, HMI systems, electrical schematics, and/or IFC construction packages
• Proficiency reading and interpreting electrical schematics, single-line diagrams, specifications, and construction drawings
• Experience developing software with AI-assisted tooling, and working familiarity with prompt engineering, RAG, or model evaluation
• Expertise in at least one of: DNP3, Modbus, Ignition, SEL RTAC, PSS/E or PSCAD, or Python for engineering applications
• High tolerance for detailed verification work; comfort confirming individual records within large data sets
• Active interest in AI development, grounded in engineering applications
• Bachelor's Degree in Engineering, Computer Science, or related field
• Demonstrated ability to work well in collaborative team environment and start-up atmosphere
• Enthusiasm for taking on new and challenging tasks
• Strong interest in renewable energy, energy storage and their applications
• Excellent analytical, quantitative, and interpersonal skills
• Ability to multitask in a fast-paced, collaborative working environment
• Entrepreneurial mindset and self-starter
• Sense of humor and ability to build positive relationships
• Ability to stand and sit for 8 or more hours when in an office environment
• Ability to speak, read, and write English proficiently and deliver a variety of instructions furnished in written, verbal, diagram, or schedule form
• Ability to understand a variety of instructions furnished in written, verbal, diagram, or schedule form
• Ability to understand and communicate safety precautions when necessary
• Power systems engineering background (substation design, generation, or utility-scale renewables)
• Hands-on experience building with LLMs — fine-tuning, retrieval pipelines, agent frameworks, or production model deployment
• Python proficiency for tool development, including Hugging Face, LangChain, or similar libraries
• Prior test engineering experience in a technically demanding environment
• Experience in a validation-regulated environment (pharmaceutical, nuclear, aerospace, or medical devices)

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