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Business Development Manager
Business Development Manager
CASEY GALAXY PVT LTD's logo

Business Development Manager

Sasmita Patra's profile picture
Posted by Sasmita Patra
1 - 3 yrs
₹3.5L - ₹3.7L / yr
Balasore
Skills
Business Development
Sales
Communication Skills
Effective communication
Market Research
FMCG

RESPONSIBILITIES

  • As a Business Development Manager working under the FMCG segment, an ideal candidate must perform the following responsibilities.
  • Approaching potential leads and closing them within a stipulated time frame.
  • Create exclusive distributors, exclusive super stockiest and business associates for the company.
  • keep abreast with stock reports, inventory, product orders,re-order etc.
  • REQUIREMENTS
  • Bachelor's degree in business, marketing or a related field.
  • experience in sales, marketing or related field.
  • strong communication skills.
Read more
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About CASEY GALAXY PVT LTD

Founded :
2018
Type :
Products & Services
Size :
100-1000
Stage :
Profitable

About

N/A

Company social profiles

N/A

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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
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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
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  • 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:

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  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.


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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.

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About the company - Exploring Infinities is a EdTech company headed by Neelakantha Bhanu Prakash, which reaches out to students across different educational institutions, employees across a lot of corporates and training them in speed and mental ability by harnessing the infinite brain potentials of the human brain, addressing a variety of audiences in various conferences, for creating awareness on capacities of the human brain by holding demonstrations, workshops.


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Behavioral Competencies Level Functional Competencies Level

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2


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Quotient is an equal opportunity employer. We celebrate diversity, and do not unlawfully discriminate on the basis of race, color, national origin, ancestry, creed, sex, gender, sexual orientation, gender identity or expression, age (40 and over), religion, political affiliation, citizenship, disability, marital or registered domestic partner status, veteran status, legally protected medical conditions, or any protected category prohibited by local, state or federal laws

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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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