AI System QA Engineer – Large Language Models (Evaluation Testing)

at MeltPlan

AI System QA Engineer – Large Language Models (Evaluation Testing)

MeltPlan

Company

Home

AI System QA Engineer – Large Language Models (Evaluation Testing)

at MeltPlan

Posted by Gaurav Bhardwaj

6 - 10 yrs

₹25L - ₹35L / yr

Bengaluru (Bangalore)

Skills

Data-driven testing

Playwright

DeepEval

Ragas

LLM Evaluation Frameworks

MLOps

MeltPlan is building the “planning engine” for the $14 Tn construction industry, an AI system designed specifically to optimize decisions before construction begins. While design software optimizes use and aesthetics and construction software optimizes execution and control, MeltPlan is building the missing layer - software that optimizes decisions and tradeoffs upstream, before scope is locked, procurement begins, and change orders become inevitable. MeltPlan’s long-term goal is to help teams make construction “boring” by making planning more intense: surfacing constraints and tradeoffs early, aligning stakeholders before plans are frozen, and reducing the need for late-stage redlines, rework, and change orders.

MeltPlan is founded by operators who have built at scale. Kanav previously co-founded Innovaccer, a $3Bn healthtech company focused on making US healthcare more affordable and accessible. He’s now applying that systems-level thinking to construction.He’s joined by Tanmaya Kala, former Project Executive at DPR Construction, who led large commercial, healthcare, and life sciences projects. We combine deep tech scale with real construction execution.

What This Role Really is :

We are seeking a detail-oriented and technically strong AI QA Engineer to ensure the quality, reliability, and performance of Large Language Model (LLM)-based systems. In this role, you will be responsible for designing and executing test strategies, validating model outputs, and building evaluation frameworks to enhance the accuracy, safety, and overall performance of AI-driven applications.We would particularly value candidates who have hands-on experience in developing evaluation frameworks (evals) for AI systems, along with strong expertise in comprehensive system testing and quality assurance practices.You are responsible for making MeltPlan work in the real world.

What You'll Do:

Design, develop, and execute evaluation frameworks (Evals) for Large Language Models (LLMs) and AI systems.
Perform end-to-end system testing, regression testing, and performance testing for AI-driven applications.
Validate model outputs for accuracy, consistency, safety, hallucination detection, and edge cases.
Build automated test pipelines and quality benchmarks for AI systems.
Collaborate closely with AI/ML engineers, product teams, and platform engineers to improve system reliability.
Analyze failures, identify root causes, and provide actionable feedback to improve model behavior.
Develop datasets, prompts, and testing scenarios to measure model performance across multiple use cases.
Monitor production performance and continuously improve evaluation metrics and testing standards.
Ensure compliance with responsible AI and quality assurance best practices.

What We're looking for:

Bachelor’s degree in Computer Science, Engineering, or related field
5–9 years of experience in QA/testing, preferably in AI/ML or data-driven systems
Strong experience in AI/LLM evaluation frameworks and system testing.
Hands-on experience with automated testing methodologies and QA processes.
Familiarity with prompt engineering, AI benchmarking, and model validation techniques.
Experience working with Python and testing frameworks.
Understanding of LLM behaviors, hallucinations, prompt injection risks, and AI safety concepts.
Exposure to tools/frameworks such as OpenAI Evals, LangSmith, DeepEval, Promptfoo, or similar platforms is preferred.
Strong analytical and debugging skills with attention to detail.
Excellent collaboration and communication skills.
Familiarity with Large Language Models and Generative AI concepts
Experience with API testing tools (e.g., Postman) and automation frameworks
Understanding of NLP concepts such as tokenization, embeddings, and text generation
Strong analytical and problem-solving skills
Experience testing AI/ML models or data pipelines
Experience with prompt engineering and prompt testing
Familiarity with cloud platforms (AWS, GCP, or Azure)
Exposure to AI safety, bias detection, and model governance

Bonus if you have:

Have worked in construction or on project sites
Have startup experience
Experience working with Generative AI or conversational AI products.
Knowledge of CI/CD pipelines and automation workflows.
Prior experience in performance testing and monitoring distributed systems.
Understanding of AI product lifecycle and production deployment environments.

We’re not looking for someone who waits for clean requirements.We’re looking for someone who thrives in the mess and turns it into systems.

Why meltplan

Massive industry, real-world impact
High ownership from day one
Small team, zero bureaucracy
Competitive comp + meaningful equity

What This Role Really is :

What You'll Do:

Design, develop, and execute evaluation frameworks (Evals) for Large Language Models (LLMs) and AI systems.
Perform end-to-end system testing, regression testing, and performance testing for AI-driven applications.
Validate model outputs for accuracy, consistency, safety, hallucination detection, and edge cases.
Build automated test pipelines and quality benchmarks for AI systems.
Collaborate closely with AI/ML engineers, product teams, and platform engineers to improve system reliability.
Analyze failures, identify root causes, and provide actionable feedback to improve model behavior.
Develop datasets, prompts, and testing scenarios to measure model performance across multiple use cases.
Monitor production performance and continuously improve evaluation metrics and testing standards.
Ensure compliance with responsible AI and quality assurance best practices.

What We're looking for:

Bachelor’s degree in Computer Science, Engineering, or related field
5–9 years of experience in QA/testing, preferably in AI/ML or data-driven systems
Strong experience in AI/LLM evaluation frameworks and system testing.
Hands-on experience with automated testing methodologies and QA processes.
Familiarity with prompt engineering, AI benchmarking, and model validation techniques.
Experience working with Python and testing frameworks.
Understanding of LLM behaviors, hallucinations, prompt injection risks, and AI safety concepts.
Exposure to tools/frameworks such as OpenAI Evals, LangSmith, DeepEval, Promptfoo, or similar platforms is preferred.
Strong analytical and debugging skills with attention to detail.
Excellent collaboration and communication skills.
Familiarity with Large Language Models and Generative AI concepts
Experience with API testing tools (e.g., Postman) and automation frameworks
Understanding of NLP concepts such as tokenization, embeddings, and text generation
Strong analytical and problem-solving skills
Experience testing AI/ML models or data pipelines
Experience with prompt engineering and prompt testing
Familiarity with cloud platforms (AWS, GCP, or Azure)
Exposure to AI safety, bias detection, and model governance

Bonus if you have:

Have worked in construction or on project sites
Have startup experience
Experience working with Generative AI or conversational AI products.
Knowledge of CI/CD pipelines and automation workflows.
Prior experience in performance testing and monitoring distributed systems.
Understanding of AI product lifecycle and production deployment environments.

We’re not looking for someone who waits for clean requirements.We’re looking for someone who thrives in the mess and turns it into systems.

Why meltplan

Massive industry, real-world impact
High ownership from day one
Small team, zero bureaucracy
Competitive comp + meaningful equity

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About MeltPlan

Founded :

2024

Type :

Product

Size :

20-100

Stage :

Raised funding

About

MeltPlan is the AI-native planning software for construction – automate takeoffs with AI-assisted service, ensure building code compliance, and streamline cost planning with transparent, expert AI that shows its work. Designed for architects, engineers, contractors, and inspectors.

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Capability to adapt, learn and work with multiple technology platforms.
Knowledge in Application Security including Information security principles & realization, OWASP & PCI DSS Compliance ( Security Design & Technology Skills )
In depth knowledge and experience in large scale database management, data modelling and database design in RDBMS and NoSQL.
Experience in recommending and implementing DevOps tools for enterprise projects.
Capability to evaluate tools, technologies and processes, including assessing their strategic benefit in the solution.
Willingness to work hands-on with engineers to review, troubleshoot coding problems quickly and efficiently.
Expertise in following technologies – ASP.Net MVC, Web API, ASP.Net Core, Entity Framework, Entity Framework Core, ASP.Net Identity, REST
Experience in implementing various application deployment models and monitoring the server infrastructure using industry standard tools.
Experience in docker based deployment models.
Experience in architecting, developing and deploying cloud based (One or more among AWS, Azure, Google Cloud) enterprise solutions.
Experience in designing and developing micro-services based applications.
Experience in designing and developing solutions with TDD (Test Driven Development)

Strong object oriented concepts. Experience in structure object oriented modelling with preferred expertise in using tools like Enterprise Architect or similar. Experience in working with TOGAF standards is preferred.
Experience in architecting the technical scale and scope of high volume, scalable enterprise software solutions including logical and physical landscape requirements with specific attention to design, development, and deployment strategies
Capability to adapt, learn and work with multiple technology platforms.
Knowledge in Application Security including Information security principles & realization, OWASP & PCI DSS Compliance ( Security Design & Technology Skills )
In depth knowledge and experience in large scale database management, data modelling and database design in RDBMS and NoSQL.
Experience in recommending and implementing DevOps tools for enterprise projects.
Capability to evaluate tools, technologies and processes, including assessing their strategic benefit in the solution.
Willingness to work hands-on with engineers to review, troubleshoot coding problems quickly and efficiently.
Expertise in following technologies – ASP.Net MVC, Web API, ASP.Net Core, Entity Framework, Entity Framework Core, ASP.Net Identity, REST
Experience in implementing various application deployment models and monitoring the server infrastructure using industry standard tools.
Experience in docker based deployment models.
Experience in architecting, developing and deploying cloud based (One or more among AWS, Azure, Google Cloud) enterprise solutions.
Experience in designing and developing micro-services based applications.
Experience in designing and developing solutions with TDD (Test Driven Development)

.Net Trainee

at Vakati Ion Implementation Information Technology Services Pvt Ltd

Posted by Vakati Ravichandra Reddy

Koramangala, Bengaluru (Bangalore)

6 - 7 yrs

₹4L - ₹4L / yr

.NET

Technical Training

Learning & Development

Research & Development

Education & Research Management

We are looking for a Training Specialist to enhance the competencies of individual employees by designing and conducting training programs that will boost employees workplace performance in alliance with company’s core values. You will be responsible for performing training needs assessments, designing and delivering curriculum and learning materials and for managing all phases of training interventions. Responsibilities Identify training needs by evaluating strengths and weaknesses Translate requirements into trainings that will groom employees for the next step of their career path Build annual training program and prepare teaching plans Develop or oversee the production of classroom handouts, instructional materials, aids and manuals Direct structured learning experiences and monitor their quality results Acclimate new hires to the business and conduct orientation sessions Deliver training courses Assess training effectiveness to ensure incorporation of taught skills and techniques into employees work behavior Periodically evaluate ongoing programs to ensure that they reflect any changes Stay abreast of the new trends and tools in employee development Requirements Proven experience in designing multiple training events in a corporate setting Extensive knowledge of instructional design theory and learning principles Proven ability to master the full training cycle Adequate knowledge of learning management software Familiarity with traditional and modern training methods, tools and techniques Familiarity with talent management and succession planning Ability to conduct cost-benefit analysis and calculate training ROI Sound decision making and organisational skills Ability to present complex information to a variety of audiences Proficiency in MS Office and in database software BS degree in Education, Training, HR or related field

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