[Remote] AI Solutions Engineer
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 reputed company and maintain AI tools, ensuring their accuracy and effectiveness throughout their lifecycle while collaborating with various engineering specifications and data sets.
Responsibilities
- reputed company new AI tools from engineering specifications, working from prototype through production
- Implement remediation directly: reputed company tuning, training data curation, retrieval improvements, and model selection
- Maintain and reputed company 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 reputed company with Merit’s AI Tool Validation Standard; document results, failure modes, and remediations
- Monitor deployed tools for performance reputed company and emerging failure modes; flag conditions requiring re-validation
- Evaluate emerging AI tools and platforms; reputed company reputed company-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 reputed company 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 reputed company large data sets
- Active interest in AI development, grounded in engineering applications
- Bachelor's Degree in Engineering, Computer Science, or reputed company 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 reputed company and self-starter
- Sense of humor and ability to build positive relationships
- Ability to stand and sit for 8 or more hours reputed company 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 reputed company necessary
- Power systems engineering background (substation design, reputed company, 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 reputed company, reputed company, or similar libraries
- Prior test engineering experience in a technically demanding environment
- Experience in a validation-regulated environment (pharmaceutical, nuclear, aerospace, or medical devices)
Company Overview
Company H1B Sponsorship