SDET - I at MindTickle

Pune, Maharashtra, India

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SaaSIndustries

Requirements

2+ years of experience as a Software Engineer or SDET, with a strong foundation in automation systems
Proficiency in Go, Java, or Python
Hands-on experience with LLM APIs and pipelines (OpenAI, Anthropic, Hugging Face)
Experience integrating automation into CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI)
Strong skills in API testing, version control (Git), and containerization (Docker)
Familiarity with cloud platforms (AWS, GCP, Azure AI)
Clear communication and collaboration skills across engineering, ML, and product teams
Experience in prompt engineering, embeddings, RAG, and LLM evaluation metrics (preferred)
Bachelor’s degree in Computer Science, Engineering, or related field (preferred)
Familiarity with LLMs, GenAI concepts (preferred)
Experience with LLM testing tools like MaximAI, OpenAI Evals, TruLens, LangSmith, or Promptfoo (preferred)
Experience in evaluating AI systems for bias, fairness, and AI safety principles (preferred)
Strong analytical mindset and structured problem-solving approach (preferred)

Responsibilities

Design, build, and maintain scalable automation frameworks to qualify projects pre- and post-release, ensuring consistent product quality
Develop comprehensive automated test suites (unit, integration, regression, and system-level) and improve CI/CD pipelines for reliable, repeatable releases
Build scalable testing systems, generate test data, and ensure ongoing quality through automated regression and synthetic monitoring
Work on test automation frameworks to qualify AI-driven features from LLM-based applications to agentic AI systems
Develop and test LLM-powered features, including prompt pipelines, retrieval systems, and AI-assisted workflows
Build and maintain evaluation frameworks to measure quality, factual accuracy, relevance, bias, and hallucination rates
Conduct robustness, safety, and adversarial testing for AI systems, implementing prompt regression testing, embedding validation, and model reliability/performance tracking
Improve quality engineering aspects (e.g., testability, shift-left practices) and measure/improve Developer Experience (DevEx)
Collaborate closely with developers and product managers, participating in design discussions and code reviews to ensure every feature and workflow delivers exceptional reliability and performance

Skills

Key technologies and capabilities for this role

GoJavaPythonOpenAIAnthropicHugging FaceLLM APIsCI/CDTest AutomationPrompt PipelinesRegression TestingAI Testing

Questions & Answers

Common questions about this position

What experience is required for the SDET - I role?

Candidates need 2+ years of experience as a Software Engineer or SDET with a strong foundation in automation systems, proficiency in Go, Java, or Python, hands-on experience with LLM APIs and pipelines, and experience integrating automation into CI/CD pipelines.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the company culture like at MindTickle?

MindTickle prioritizes creating a highly engaging and rewarding workplace, offering tons of awesome perks and many opportunities for growth, with a culture that reflects its global employees.

What makes a strong candidate for this SDET role?

A strong candidate has the required 2+ years experience, proficiency in Go/Java/Python and LLM tools, plus preferred qualifications like a Bachelor’s degree in Computer Science, familiarity with LLMs/GenAI, experience with LLM testing tools, and a strong analytical mindset.

MindTickle

Sales readiness and enablement platform

About MindTickle

MindTickle provides sales readiness and enablement solutions through a platform that focuses on training sales teams using micro-learning, social interactions, and gamified methods. The platform delivers small, digestible learning content that engages users and enhances their training experience. MindTickle caters to a diverse range of clients, from small businesses to large enterprises, particularly in customer-centric industries like MedTech and technology. Unlike many competitors, MindTickle offers a subscription-based software as a service (SaaS) model, allowing clients to access their tools based on user needs and service levels. Key features of the platform include virtual coaching tools, data-driven insights, and readiness assessments, all aimed at improving sales skills and customer interactions. The company's goal is to continuously enhance sales capabilities and ensure teams are well-prepared to deliver exceptional customer experiences.

San Francisco, CaliforniaHeadquarters

2012Year Founded

$273.6MTotal Funding

SERIES_ECompany Stage

Data & Analytics, Enterprise Software, EducationIndustries

501-1,000Employees

Risks

Economic uncertainty may lead to reduced budgets for sales readiness solutions.

Rapid AI advancements require continuous innovation to maintain competitive edge.

Integration challenges from acquiring Enable Us could disrupt service delivery.

Differentiation

MindTickle offers a unique blend of gamified and data-driven sales training.

The platform integrates virtual coaching and readiness assessments for comprehensive sales enablement.

MindTickle's SaaS model allows flexible, scalable solutions for diverse business needs.

Upsides

Recognition as a leader in revenue enablement boosts MindTickle's market credibility.

Generative AI Copilot enhances sales training, aligning with current AI trends.

74% customer growth and 233% ARR increase highlight strong market demand.

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