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AVE-Promagne Business Solutions LLP's logo

HR Business Partner

Ashwin NE's profile picture
Posted by Ashwin NE
5 - 10 yrs
₹3L - ₹5.5L / yr
Jaipur
Skills
HR management
Human Resources (HR)
Human Resource Management System (HRMS)
What a Typical day looks like: • In consultation with business leaders and HR colleagues, develop and deliver an annual HR plan for meeting business needs. • Provide advice and support to business leaders on key HR matters, including organizational design and restructuring, talent management / talent development, career development, employee engagement etc • Coordinate and facilitate delivery of cyclical HR initiatives (such as recruiting, workforce planning, new hire training, performance review, talent review, succession planning, compensation planning and review) for the site / businesses. • Drive employee communications / engagement within business segment. • Assist with HR communications and training of managers on new programs, systems and processes as required • Responsible to support compliance policies and its effective implementation. The experience we’re looking to add to our team: • Requires a degree in Human Resources Management or related areas. MBA a plus. • Typically requires a minimum of 10 years of related experience. • Self-starter who demonstrates accountability for results. • Sound knowledge of Organization Development, Change Management and HR practices. • Excellent business acumen and demonstrated competency in business partnership. • Excellent interpersonal skills with the ability to build rapport quickly with senior management and communicate effectively with all levels of the organization. • Strong project management, process management, analytical and consulting skills. Judgment, initiative, and tenacity demonstrated in an environment of rapid change. • Ability to collaborate globally across boundaries, disciplines, and cultures, especially in an evolving matrix environment. • Effective verbal and written communication skills accompanied with cultural sensitivity. Excellent planning, co-ordination, and organizational skills. • Strong process orientation. Use of the following tools may be required: Office Skills: telephones, data entry, HR related and office software to include, word processing, spread sheets, and presentation packages.
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About AVE-Promagne Business Solutions LLP

Founded :
2019
Type :
Products & Services
Size
Stage :
Bootstrapped

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Ashwin NE

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Appknox
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Vasudha Srivastav
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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
  • 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
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  • Exposure to cloud deployment and containerization (AWS/GCP/Azure, Docker)


 What We're NOT Looking For:

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  •   No experience with LLM APIs or agent frameworks


  

  Our Tech Stack:


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  •   Agent Frameworks: LangChain, LangGraph
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  •   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.


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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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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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