Note: The job is a remote job and is open to candidates in USA. Merit Controls is seeking an AI Solutions Engineer to refine and develop AI tools for accuracy-critical engineering workflows from prototype through production. The role involves implementing AI improvements, validating outputs against engineering data, monitoring deployed tools, evaluating emerging platforms, and supporting internal AI enablement.
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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