Business Analyst

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.

WeAssemble is looking for an Email Marketing Executive to support and build marketing communications. We are looking for an intermediate-level marketing professional with a track record of delivering predictable and sustainable results in a fast-paced environment.

This position collaborates closely with the Digital team, Marketing Data Operations, IT for marketing automation, and stakeholders from multiple business units.

Responsibilities

●       Control and direct the email marketing channel, as well as the related analysis

●       Create engagement strategies based on an understanding of customer needs and intent.

●       Support the execution of automated lead generation programs

●       Develop and manage digital templates (emails, landing pages, programs) within the marketing automation platform.

●       Marketing Automation Platform expert

●       Meet or exceed internal SLAs and seamlessly coordinate across time-zones as needed

●       Work in partnership with Marketing Automation Segment Liaison to optimize campaign requests to meet business goals.

●       Take ownership of marketing technology platforms

●       Analyse and report on the performance of channels and campaigns.

●      Make it easier to report on marketing impact.

●       Work closely with internal and cross-functional stakeholders (Design, Brand, Legal, Business Units, etc.) to design and approve email campaigns.

●       Ensure that email permissions are followed.

●       Implement best practices for email marketing.

●       Aid in the evaluation of new innovative opportunities to increase engagement and/or results.

●       Keep up to date with changes/developments in the IT sector through self-learning, training, and research

Desired Candidate Profile

●       3+ years outreach experience with working on a marketing automation platform such Woodpecker, Apollo.io or we connect

●       Must be able to demonstrate a high level of marketing automation

●       Excellent communication skills written, verbal, presentation

●       Proven ability to work in a collaborative environment as well as being a motivated, self-starter

●       Keep up-to-date on email and marketing automation best practices with regard to marketing automation capabilities, testing and projected results.

●       Report on critical email and marketing automation campaign metrics

●       Understand lead scoring and nurturing programs as it pertains to execution of email and marketing automation campaigns

●       Support the execution of automated lead generation programs

●       Build and execute test strategies, including A/B multi-variant testing, to drive qualified traffic and revenue-building activities

●       Monitor the campaigns and make necessary changes to generate the lead. 

Roles and Responsibilities

• Working with designers, product managers to collaboratively own the front-end layer at FalconBrick and deliver stellar end user experiences
• Building responsive and elegant mobile and desktop web UIs
• Test, debug and maintain the application software throughout the product lifecycle
• Architect, develop and maintain front-end libraries

Desired Candidate Profile

• You love working with JavaScript and are very familiar with JavaScript design patterns and can build fairly complex UI
• Have at least 2 years experience in development of responsive web/mobile applications using advanced JS and web technologies
• And with at least 1 year of experience building frontend UI with a framework like ReactJS
• Youre very comfortable in writing HTML and CSS and love designing beautiful webpages
• Have good communication skills, strong work ethics And are comfortable with agile, iterative development practices and code reviews

• Experience working with ASP.NET MVC, Entity Framework, LINQ, NoSQL, and Message Queue
• Demonstrated understanding of best practices in building web based applications
• Familiarity with SQL Server / Oracle Databases
  
  
• Demonstrated knowledge of enterprise architecture, design patterns and SOA services 
  
  
• Responsible for design, code, configuration, and implementation of high quality software solutions
• Analyzes and automates tasks, automating tasks through scripting and tools
• Works closely with technical leaders to help develop solution architecture, core system components, and proof of concepts
• Work both autonomously and with relevant teams to tackle complex technical issues
• Participate in design, code, and QA walkthroughs and reviews

Details

1. Work hours - 8 hours/day (Monday to Saturday)
2. Duration - 4 months
3. Full-time Internship

Responsibilities

1. Performing research to gather relevant information for the design.
2. Getting a good understanding of the design sensibilities/guidelines and coming up with concepts for the design based on the requirements of the client.
3. Developing creative and attractive illustrations, logos, website designs and other social designs.
4. Using Adobe XD, Photoshop, Illustrator, Affinity Designer (optional), Canva (optional), Sigma (optional) for creating designs.
5. Understanding design guidelines, copywriting rules and typography concepts in order to work with the content given by the content team.
6. Improving designs based on the given feedback.
7. Ensuring projects are completed with high quality and on schedule.