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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
•  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.

📢 Hiring: Delphi Developer – 6 Months Contract

Locations: Chennai & Bangalore | Immediate Joiners | Service-Based Project

We are hiring experienced Delphi Developers for a 6-month contractual role with a reputed service-based IT organization. Candidates with strong Delphi expertise who can contribute independently in a fast-paced environment are encouraged to apply.

🔧 Key Highlights

3–7 years of experience in software development

Strong hands-on experience in Delphi

Proficiency in SQL, ADO, and understanding of OOP, data structures, and design patterns

Exposure to JavaScript frameworks (Knockout/Angular) and modern UI concepts

Good communication, analytical, and problem-solving skills

Ability to work independently and multitask effectively

Preferred: Experience in Payments, Retail, EMV, C-Store, or Logistics domains

📍 Locations: Chennai & Bangalore

⏳ Contract Duration: 6 Months

🚀 Start Date: Immediate

We’re Hiring: Relationship Manager – Retail Sales 🌟

📍 Locations: Mumbai | Ahmedabad | Aurangabad

🕒 Mon–Sat | ⏰ 10 AM – 6:30 PM

🎓 Qualification: Graduate | 💼 Exp: 1–5 yrs

🔹 Key Responsibilities:

✨ Drive client acquisition & achieve GWP sales targets

🤝 Manage & grow a network of 40–45 insurance agents

📊 Provide accurate quotations & close policy sales

🎯 Ensure 100% monthly GWP target achievement

💬 Build & maintain strong client & agent relationships

📋 Prepare daily/weekly MIS & ensure process compliance

💡 Skills Required:

📚 Insurance product knowledge

🗣️ Excellent communication & relationship management

⚡ Leadership & business acumen

🎁 Benefits:

💰 Competitive salary & incentives

🎓 Training & professional growth opportunities

🩺 Insurance coverage (GTL)

🤝 Supportive, growth-oriented work culture

Technical Skill Set:

1. ASP. NET Development – Strong expertise in C#, ASP.NET, WPF, and solid understanding of SOLID principles, API development, and databases.

2. Cloud Technologies – Hands-on experience with AWS, Azure, or Google Cloud.

3. Software Development & Architecture – Proficiency in SDLC, Agile, Scrum, and DevOps frameworks.

4. Project Planning & Management – Experience in task allocation, tracking, estimations, and deliverables management.

5. Repository & Version Control – Familiarity with Git, SVN, or similar tools, along with basic networking concepts.

6. Product Lifecycle Management – Knowledge of requirement analysis, documentation, testing, and release management.

7. Project Planning Tools – Experience with tools like Microsoft Project Plan, JIRA, Redmine, or HP ALM/Quality Centre.

Leadership & Soft Skills:

1. Team Leadership – Ability to guide, mentor, and manage a team while ensuring high-quality deliverables within tight deadlines.

2. Client Engagement & Requirement Gathering – Skilled in collaborating with stakeholders to enhance and refine project requirements.

3. Strong Communication & Problem-Solving – Effective at handling challenges, making decisions, and ensuring smooth project execution.

Primary Duties and Responsibilities :

✓ Call Patients on the assigned accounts to understand when Payments on the outstanding amount will be made.
✓ Follow-up with patients on overdue accounts.
✓ Create weekly/monthly collection reports to gauge the progress made.
✓ Respond to Patient queries in a timely and professional manner.
✓ Raise exceptions wherever required for the client/supervisor to review before taking any final decision
✓ Follow the Training Manual and what was taught during training sessions to avoid unnecessary errors Requirements:
✓ Should be able to empathize with Patients, active listeners, and should be able to facilitate in providing solutions
✓ Detail orientation, strong analytical and problem-solving skills.
✓ Should be a quick learner with the ability to learn new tools.
✓ Must have the ability to multitask and work under pressure with minimum supervision.

Skills:

✓ Excellent in English Communication (Verbal and written).

 Eligibility of Candidates :

✓ Immediate joining

✓  Excellent in English Communication (Verbal and written).

✓  Comfortable to work in the night shift.

✓   Experienced candidates are welcome.

 Benefits :

 ✓ Friendly environment.

✓   Fixed shift.

✓   5 days workings

TM1 Lead Engineer

Job Description:

The Lead Engineer should have good communication skills and is able to work with colleagues in Change delivery and Finance Users.

The Lead Engineer should have a very good understanding of Financial Statements.

As the Lead Engineer you might be working across different projects simultaneously 9+ Years TM1 Development experience Expertise in developing end to end solutions from ground up in TM1 Ability to design secure, scalable, configurable and modular solutions Expertise in applying optimisations both for performance and configuration Highly proficient in all aspects of TM1 development and Infrastructure

|| Expert in IBM Planning Analytics 2.0 Expert in development on PAW and PAX Highly proficient in developing TM1 Rest API based solutions Strong knowledge of MDX, SQL, Excel, Visual Basic, relational databases Must have good verbal communication skills

– Ability to work across geographies

A self-motivated, confident team player who leads by example and provides guidance to others DevOps and Agile engineering practitioner, test driven development Excellent communication skills & team player

Job Summary:

• Willingness to work on highly scalable cloud-native solutions based on microservices.
• Quickly learn the technologies and deliver using the same.
• Take complete ownership of the customer requirements.
• Motivated to deliver world-class quality.
• Inclined to bring new ways of thinking, working and providing solutions.
• Drive the concept of quality into everybody and have a zero-tolerance towards bad quality.

• Understand requirements from product management, customer and able to comprehensively break this down to manageable tasks.

Experience:

● 3-9 years of development experience.

Technical Skills:

Mandatory:

• Java - Advanced concepts concurrency, reflection, lambda, Java Springboot, Spring security,
• Actuator/Prometheus/Grafana/Servo (metrics),
• EFK/ELK stack (log analysis)
• OpenAPI/Swagger (documentation)
• RDBMS (PostgreSQL, MySQL, Maria or any other)
• NoSQL (Anyone of Mongo DB, Redis, Cassandra, Neo4J or other DBs)
• Automated unit tests/e2e tests (JUnit, TestNG, RestAssured etc)
• CI/CD pipelines (Jenkins, Sonar, Maven/Gradle etc)

Optional: (But highly recommended)

• NewSQL DB (TiDB, CockroachDB)
• AMQP/RabbitMQ
• Kafka
• Docker
• Kubernetes