What do we do?
Intelliswift delivers world-class Product Engineering, Data Management and Analytics, Digital Enterprise, Digital Integration, Salesforce, and Talent Solutions to businesses across the globe. We empower companies to embrace new technologies and strategies along their digital transformation 
journey through data-rich modern platforms, innovation-led engineering, and people-centric solutions. Strong customer-centricity makes us a trusted ally to several Fortune 500 companies, SMBs, ISVs, and fast-growing startups. 

To whom do we cater?
Industries: Technology, Media, Telecom, Pharma, Healthcare, Banking, Financial Services & Insurance, Retail.

Where are we headed?
We are driven to leverage our innovation and deep expertise to create a long-lasting impact for our customers and stakeholders.

What drives us?
•	We believe in delivering sustainable and future-driven solutions. 
•	We believe in enabling everyone that works with us – from clients to partners to employees. 
•	We believe that the future belongs to those who Love the New – which is why we are constantly reinventing and innovating NEW solutions to enable businesses to stay ahead of the competition.

Intelliswift Software

The future belongs to those who #LoveTheNew

Job Title: Mechanical Engineer IILocation: Seattle, WA or New York, NY or Remote candidates within the United StatesDuration: 12-Month ContractExperience: 3–5+ Years
This is not a traditional product design Mechanical Engineer role.
Mechanical Engineer domain expert to help train, evaluate, and validate AI systems that perform mechanical engineering tasks. The engineer will serve as the "human expert" helping researchers understand where the AI succeeds or fails across engineering workflows.
We are seeking a Mechanical Engineer to help shape the future of AI-enabled engineering workflows. In this unique role, you will collaborate with research and engineering teams to evaluate, validate, and improve AI-generated solutions for mechanical design and analysis.
Rather than focusing on a single product or program, you will apply broad mechanical engineering expertise to assess design outputs, develop evaluation criteria, identify potential engineering risks, and ensure solutions meet real-world engineering expectations.
This is an exciting opportunity for engineers who enjoy solving complex technical problems, working across disciplines, and influencing the next generation of engineering tools.
Responsibilities:Evaluate AI-generated mechanical designs, simulations, and engineering analyses for technical accuracy and practical feasibility.Assess manufacturability, performance, reliability, and design trade-offs across a variety of engineering challenges.Develop engineering tasks, test cases, benchmarks, and validation methodologies used to evaluate system performance.Provide expert feedback on mechanical engineering best practices and design principles.Collaborate closely with researchers, software engineers, and cross-functional partners to improve engineering workflows.Analyze failure cases and help identify root causes and corrective actions.Ensure engineering solutions align with established standards, safety requirements, and documented processes.Create clear technical documentation and communicate findings to both technical and non-technical stakeholders.
Minimum QualificationsBachelor's degree in Mechanical Engineering or a related engineering discipline.3–5+ years of practical mechanical engineering experience.
Advanced proficiency with one or more industry-standard CAD and simulation tools such as:SolidWorksSiemens NXCATIAAutodesk InventorCreoFreeCADAnsys
Strong knowledge of multiple mechanical engineering disciplines, including:ThermodynamicsFluid MechanicsHeat TransferStructural AnalysisMechanical DesignManufacturing Processes
Experience working in cross-functional environments and communicating complex technical concepts to diverse audiences.Ability to manage multiple priorities and work effectively in a fast-paced environment.
Preferred QualificationsExperience with Python, MATLAB, or other scripting tools.Experience automating engineering workflows or analyzing engineering datasets.Familiarity with simulation-driven design, testing, validation, or product development processes.Experience supporting multidisciplinary engineering teams.