Field operations executive

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.

Edtech sales

Job location Bangalore

6 days working

Mon to sat

10Am to 8 pm

6 months to 3 years experience required in edtech sales

Mandatory skills

ML Intern

Hyperworks Imaging is a cutting-edge technology company based out of Bengaluru, India since 2016. Our team uses the latest advances in deep learning and multi-modal machine learning techniques to solve diverse real world problems. We are rapidly growing, working with multiple companies around the world.

JOB OVERVIEW

We are seeking a talented and results-oriented ML Intern to join our growing team in India. In this role, you will be responsible for developing and implementing new advanced ML algorithms and AI agents for creating assistants of the future. 

The ideal candidate will work on a complete ML pipeline starting from extraction, transformation and analysis of data to developing novel ML algorithms. The candidate will implement latest research papers and closely work with various stakeholders to ensure data-driven decisions and integrate the solutions into a robust ML pipeline.

RESPONSIBILITIES:

• Create AI agents using Model Context Protocols (MCPs), Claude Code, DsPy etc.
• Develop custom evals for AI agents.
• Build and maintain ML pipelines
• Optimize and evaluate ML models to ensure accuracy and performance.
• Define system requirements and integrate ML algorithms into cloud based workflows.
• Write clean, well-documented, and maintainable code following best practices

REQUIREMENTS:

• 1-3+ years of experience in data science, machine learning, or a similar role.
• Demonstrated expertise with python, PyTorch, and TensorFlow.
• Graduated/Graduating with B.Tech/M.Tech/PhD degrees in Electrical Engg./Electronics Engg./Computer Science/Maths and Computing/Physics
• Has done coursework in Linear Algebra, Probability, Image Processing, Deep Learning and Machine Learning.
• Has demonstrated experience with Model Context Protocols (MCPs), DsPy, AI Agents, MLOps etc

WHO CAN APPLY:

Only those candidates will be considered who,

• have relevant skills and interests
• can commit full time
• Can show prior work and deployed projects
• can start immediately

Please note that we will reach out to ONLY those applicants who satisfy the criteria listed above.

SALARY DETAILS: Commensurate with experience.

JOINING DATE: Immediate

JOB TYPE: Full-time

We're Searching for a hard core sales person who is itching to move to marketing function.

Preferably alumnus of MICA, SIMC or a having a great communications background. Must have good sense of humour.

PS: This is complete EQUITY based role. People looking for salary do not apply.

What You Will Be Doing:

You are responsible for budgeting, planning and supervising all Marketing and CRM activities

Part of your duties will include more than assembling, leading and motivating your staff. Your dedication as their mentor is key.

Your well-thought-out strategy ensures an efficient customer experience during onboarding and conversion

Responsibility and strategic orientation for all CRM actions, aiming for a lasting increase in customer value

What You Bring To The Job:

After successfully graduating in Business Administration, Marketing or Business Informatics, resp. obtaining a comparable degree in a relevant field, you have logged at least 3-6 years of management experience in Marketing, preferably in a startup or eCommerce company

Online marketing is something you- re quite familiar with, but your focus is in offline-marketing

You wield an excellent record in developing marketing communication and advertisement media

Through your experience with classic B2B-sales, you know Call Centers/telemarketing like the back of your hand

Thanks to your outstanding analytic skills, you- re used to organize the marketing goals by using clearly measurable KPI. Your know-how about web-tracking and managing tags is a big plus for this field

You have experience in leading larger teams and come an open personality, a strong sense of responsibility, entrepreneurial thinking and negotiation power

Extraordinary conceptional skills, a creative mindset and a hands-on mentality are your strongest suits

Your readiness of mind, an independent and structured working method and a great sense of humor complete your profile

READ AGAIN: This is complete EQUITY based role. People looking for salary do not apply.

WordPress JD Below:-

• Designing and building the website front-end.
• Creating the website architecture.
• Designing and managing the website back-end including database and server integration.
• Should know WordPress Customization of themes and plugins.
• Conducting website performance tests.
• Troubleshooting content issues.
• Monitoring the performance of the live website.
• Must have hands on experience with JavaScript
• Job Location- Rajkot

Job Description

We are looking for a Senior Fullstack Engineer who is an expert on the Javascript stack (Node.js and React). We are looking for engineers who work like owners as you will be tasked with leading the development of one of our 5 major components of the Hatica platform. You will work with experienced engineers and on a modern serverless stack built using Javascript (React and Node) and Golang with a in-house realtime data analytics engine on Postgres and Elasticsearch among others.

Responsibilities

• Work across the Javascript stack from React.js in the front to Node.js in the back.
• Help your fellow DevOps and junior engineers working on our cloud infrastructure and other components of our product to ensure a code quality and robust architecture.

Requirements and Qualifications

• BE/BTech in Computer Science or Engineering
• Minimum Experience of 4 years with backend development.
• Experience of at least 2 years with Node.js
• Minimum Experience of 2 years with front end development in React
• Familiarity with newer specifications of EcmaScript
• Understanding of GraphQL
• Understanding of AWS and cloud-native technologies is preferred

Benefits

• Work with the best and brightest on a global cutting-edge SaaS product
• Performance oriented culture built on fairness and inclusivity
• Competitive Compensation
• Flexible work hours
• Fully remote team, work from anywhere

• Foster New Relationships with Taxi Operators, Taxi Drivers, Automobile OEM Partnership, Educate them @ the Mobile App/Software Offerings & Benefits, to convert them into signing up for the taxi application
• Maintain Existing relationships & maintain healthy nature of business to generate the Referral programs with Travel agencies and Consolidators
• Handling the Business Development activities in his/her area, assigned
• Identify & Develop Business Opportunities for product solutions for tie-up in terms of large groups of Taxi man, Selling salient points & get them to enrol along with other taxi friends of them, whilst driving things in very social & friendly manner
• Providing training on Mobile app interface and managing its implementation
• Identify opportunities to sell product & solutions in order to generate revenue for the organization by presenting new/existing products and services and enhance existing relationship
• Ensure optimum usage of the Mobile app provided to Taxi fellows & give them basic training of the mobile app to make them understand & increase the usage pattern
• Making Daily sales calls to get to the taxi people and engage with them in formal & informal way for adoption of the mobile app
• Organise small training session in office to get them more understanding
• Introducing VAS services like paying taxes, insurance, RTO regulatory paper filling & take them to centre/offices for guidance
• Encourage them to make more enrolment & design a referral program new products and functionalities on the applications of existing clients / OLTAs.
• Should be able to find new avenues & targets for finding new Taxi Operators by tie-up with Existing Database, cull out from internet the required churn of new people to call & meet them personally
• This is sales with personal driven strategy to achieve required set of targets & maintain relationship with them as well
• Solve queries of existing drivers & encourage them to resolve other queries when they are fully equipped
• Organise multiple training programs, Learning Workshops, Complaint of Mobile app for increasing overall business from exiting & new mobile app signup
• Ensuring effective achievement of targets and preparation of reports.
• Preparing and giving sales presentations to prospective customers. 
• Monitoring industry trends as well as competition.