QA Engineer

Candidate should have a consultative approach not just pre sales call approach. 

2. Must be from B2B SAAS, MarTech or SalesTech but product based company only

3. Should be able to prepare pitch decks for the clients

4. 3 to 5 years of experience in a Solutions Consultant, Pre-Sales Engineer, Technical Consultant, or similar customer-facing technical role

5. Solid technical foundation with the ability to explain complex concepts clearly

6. Exceptional communication and presentation skills, with the ability to articulate value and technical information effectively

7. Should have handled RFPs and RFIs

8. Should have managed POCs/Sanboxes

9. Expereince between 3 to 6 years will only be considered. More than 6 years candidates are not applicable

Preferred companies to find candidate for this role - Cvent, Bizzabo, Airmeet, Hubilo, Hopin, vFairs, ON24, Goldcast, Webex Suite, BigMarker, Stova, Splash and EventMobi.

A BIT ABOUT US

Appknox is one of the top Mobile Application security companies recognized by Gartner and G2. A profitable B2B SaaS startup headquartered in Singapore & working from Bengaluru.

The primary goal of Appknox is to help businesses and mobile developers secure their mobile applications with a focus on delivery speed and high-quality security audits.

Appknox has helped secure mobile apps at Fortune 500 companies with major brands spread across regions like India, South-East Asia, Middle-East, US, and expanding rapidly. We have secured 300+ Enterprises globally.

We are a 60+ incredibly passionate team working to make an impact and helping some of the biggest companies globally. We work in a highly collaborative, very fast-paced work environment. If you have what it takes to be part of the team, we are excited and let’s speak further.

The Opportunity

Appknox AI is building next-generation AI-powered security analysis tools for mobile applications. We use multi-agent systems and large language models to automate complex security workflows that traditionally require manual expert analysis.

We're looking for an AI/ML Engineer who will focus on improving our AI system quality, optimizing prompts, and building evaluation frameworks. You'll work with our engineering team to make our AI systems more accurate, efficient, and reliable.

This is NOT a data scientist role. We need someone who builds production AI systems with LLMs and agent frameworks.

Key Focus:

Primary Focus: AI System Quality 

• Prompt Engineering: Design and optimize prompts for complex reasoning tasks
• Quality Improvement: Reduce false positives and improve accuracy of AI-generated outputs
• Evaluation Frameworks: Build systems to measure and monitor AI quality metrics
• Tool Development: Create utilities and tools that enhance AI capabilities

  Secondary Focus: Performance & Optimization 

• Cost Optimization: Implement strategies to reduce LLM API costs (caching, batching, model  selection)
•  Metrics & Monitoring: Track system performance, latency, accuracy, and cost
•  Research & Experimentation: Evaluate new models and approaches
•  Documentation: Create best practices and guidelines for the team

Experience

• 2–3 years of professional experience building AI-powered systems
• Previous hands-on work with agentic systems, autonomous workflows, or LLM-centric applications (not focused on model training)

Requirements:

• Design, build, and deploy autonomous AI agents using modern LLM frameworks
• Integrate agents with APIs, databases, and backend workflows
• Implement prompt strategies, tool/function calling, memory, and context management
• Strong understanding of vector databases and retrieval techniques (RAG use cases)
• Build production-ready systems with testing, monitoring, and scalable deployment practices
• Collaborate with cross-functional teams to ship reliable production features
• Strong Python and backend engineering skills
• Hands-on experience with agent frameworks such as LangChain, AutoGen, LlamaIndex
• Familiarity with observability and debugging tools (e.g., Arize, LangSmith, Langfuse dashboards)

Good to Have skill-set:

• Experience with multi-agent orchestration or planning frameworks
• Experience with online and offline evaluation of AI agents
• Exposure to cloud deployment and containerization (AWS/GCP/Azure, Docker)

 What We're NOT Looking For:

•   Only academic/tutorial LLM experience (we need production systems)
•   Pure ML research focus (we're not training foundation models)
•   Data analyst/BI background without engineering depth
•   No experience with LLM APIs or agent frameworks

  Our Tech Stack:

  AI/ML Infrastructure:

•   Agent Frameworks: LangChain, LangGraph
•   LLMs: Google Gemini (primary), with multi-model support
•   Observability: Langfuse, DeepEval
•   Vector Search: LanceDB, Tantivy
•   Embeddings: Hybrid approach (local + cloud APIs)

  Platform & Infrastructure:

•   Orchestration: Prefect 3.x, Docker, Kubernetes
•   Storage: S3-compatible object storage, PostgreSQL
•   Languages: Python 3.11+
•   Testing: pytest with parallel execution support

Work Expectations & Success Metrics:

Within 1 Month (Onboarding)

- Understand AI system architecture and workflows

- Review existing prompts and evaluation methods 

- Run analyses and identify improvement areas 

- Collaborate on initial optimizations

Within 3 Months (Initial Contributions)

- Own prompt engineering for specific components 

- Build evaluation datasets and quality metrics 

- Implement tools that extend AI capabilities 

- Contribute to performance optimization experiments

Within 6 Months (Independent Ownership)

- Lead quality metrics implementation and monitoring 

- Drive prompt optimization initiatives 

- Improve evaluation frameworks

- Research and prototype new capabilities

Within 1 Year (Expanded Scope)

- Mentor team members on best practices 

- Lead optimization projects (caching, batching, cost reduction)

- Influence architectural decisions 

- Build reusable libraries and internal frameworks

 Interview Process:

• Round 0 Interview - Profile Evaluation (15 min)
• Round 1 Interview - Take Home Assignment
• Round 2 Interview - Technical Deep-Dive (90 min)
• Round 3 Interview- Team Fit (45 min)
• Round 4 Interview- HR Round ( 30 min)

Why Join Appknox AI?

Impact & Growth

Work on cutting-edge AI agent systems that power real-world enterprise security. You’ll collaborate with experienced engineers across AI, security, and infrastructure while gaining deep expertise in LangGraph, agent systems, and prompt engineering. As we scale, you’ll have clear opportunities to grow into senior and staff-level roles.

Team & Culture

Join a small, focused product-engineering team that values code quality, collaboration, and knowledge sharing. We’re in a hybrid set-up - based out of Banaglore, flexible, and committed to a sustainable pace - no crunch, no chaos.

Technology

Built with a modern Python stack (3.11+, async, type hints, Pydantic) and the latest AI/ML tools including LangChain, LangGraph, DeepEval, and Langfuse. Ship production-grade features that make a real impact for customers.

Compensation & Benefits:

Competitive Package

We offer strong compensation designed to reward impact.

Flexibility & Lifestyle

Hybrid work setup and enjoy generous time off. You’ll get top-tier hardware and the tools you need to do your best work.

Learning & Development

Access a substantial learning budget, attend major AI/ML conferences, explore new approaches during dedicated research time, and share your knowledge with the team.

Health & Wellness

Comprehensive health coverage, fitness subscription, and family-friendly policies.

Early-Stage Advantages

Help shape the culture, influence product direction, and work directly with founders. Move fast, ship quickly, and see your impact immediately.

To design, automate, and manage scalable cloud infrastructure that powers real-time AI and communication workloads globally.

Key Responsibilities

• Implement and mange CI/CD pipelines (GitHub Actions, Jenkins, or GitLab).
• Manage Kubernetes/EKS clusters
• Implement infrastructure as code (provisioning via Terraform, CloudFormation, Pulumi etc).
• Implement observability (Grafana, Loki, Prometheus, ELK/CloudWatch).
• Enforce security/compliance guardrails (GDPR, DPDP, ISO 27001, PCI, HIPPA).
• Drive cost-optimization and zero-downtime deployment strategies.
• Collaborate with developers to containerize and deploy services.

Required Skills & Experience

• 4–8 years in DevOps or Cloud Infrastructure roles.
• Proficiency with AWS (EKS, Lambda, API Gateway, S3, IAM).
• Experience with infrastructure-as-code and CI/CD automation.
• Familiarity with monitoring, alerting, and incident management.

What Success Looks Like

• < 10 min build-to-deploy cycle.
• 99.999 % uptime with proactive incident response.
• Documented and repeatable DevOps workflows.

·        Should have 5 to 6 years of work experience as a Python Developer

·        Expertise in at least one popular Python framework (like Django, Flask or Pyramid)

·        Knowledge of object-relational mapping (ORM)

·        Familiarity with front-end technologies (like JavaScript and HTML5)

·        Should have completed B.E/B.Tech. /MCA in any field.

·        Good problem-solving skills and Team spirit.

·        Writing scalable code using Python programming language.

·        Testing and debugging applications.

·        Developing back-end components.

·        Integrating user-facing elements using server-side logic.

·        Assessing and prioritizing client feature requests.

·        Integrating data storage solutions.

● Responsible for ensuring seamless guest experience.

● Take ownership of guest issues and follow problems through to resolution.

● Make decisions that are in the best interest of the company and the guests.

● Meet and maintain Vista standards and metrics such as guest satisfaction, accuracy, and efficiency.

● Provide guidance or assistance during the stay, post-booking to check-out, grievance handling, and provide

timely solutions.

● Ensuring timely collection of feedback post guests' stay.

● Reporting any damage of the property to the property operation team.

● Ensure closing of current guest tickets before next arrival.

● Ensure collection of extra payments during the stay.

● Keep up with the industry’s developments and apply best practices to the areas of improvement.

Responsibilities
As an SDET at Jumio, the candidate is expected to develop and maintain automated functional, integration and load tests for web applications that ensure the quality of developed product features. They are supposed to be champions of quality and participate in developing and enhancing continuous delivery solutions. They are expected to participate
actively in agile development rhythms (scrum, kanban etc), be able to read / write good quality code. The role also requires some level of manual testing depending on project needs.

Required Qualifications

1. Bachelor's Degree in Computer Science or related field and 3+ years relevant work experience.
2. Experience in unit testing, acceptance testing, integration testing, system/end-to-end testing for Web applications / REST services
3. Experience in Spring Framework is required
4. Minimum 3 years experience with Java or Groovy or Python
5. Ideally some experience with Spring Boot, Docker, Selenium, AWS
6. Comfortable usage of UNIX-like operating system and basic bash scripting knowledge
7. Spring Framework Knowledge
8. Enjoy working in a self-organizing team environment
9. Strong debugging, troubleshooting, and problem solving skills
10. Think further than the solution appears to require
11. Excellent analytical, conceptual and communications skills in spoken and written English
12. Fast learner, high capacity for abstract thinking and structured approach to work plus a hands-on mentality and international mindset

1. Strong knowledge of data structures, algorithms, distributed systems, and asynchronous architecture
2. Strong understanding of system and application performance characteristics
3. .Net or AngularJS knowledge
4. Mobile Automation Testing, esp. Appium
5. Machine Learning / Computer Vision knowledge

Designation Business Analyst

Work Location Mumbai

Reports to Team Leader

About You:

• A Graduate or Post Graduate in Engineering/ Computer science or holding any diploma in computer science/IT.
• A self-starter/team player who is excited to work in a fast-paced environment with an ability to multi-task and work independently with minimal supervision.
• Should have 2+ years of Business Analysisexperience preferably on a product-based company.
• Must have exposure on working with industry trends and MVC architecture.
• Must possess excellent communication skills in English.

About the JOB

• Involved in the design or modification of business systems or IT systemsTo Collaborate with engineering leads and senior architects to create and design various applications for the company.
• Interacts with the business stakeholders and subject matter experts in order to understand their problems and needs.
• Gathers, documents, and analyzes business needs and requirements.
• Developing technical solutions to business problems, or to advance a company'ssales efforts, begins with defining, analyzing and documenting requirements.