Advertising Manager

About the Role

We are looking for a senior backend engineer to build the infrastructure that powers AI agents in enterprise environments. You will work on systems that securely run, manage, monitor, and govern AI agents as they interact with users, business applications, and external tools.

This role combines backend engineering, distributed systems, AI agent infrastructure, security, and platform development.

Responsibilities

• Build and maintain the core runtime that manages AI agent execution and lifecycle.
• Develop systems for message processing, task orchestration, queue management, and recovery from failures.
• Design secure communication and execution boundaries between AI agents and the host platform.
• Build and enhance sandboxed environments for safe tool and code execution.
• Develop scalable backend services, APIs, and platform components.
• Build admin interfaces and APIs for configuring agents, permissions, approvals, and audits.
• Implement capability, access control, and permission management systems.
• Develop durable memory and state management systems for AI agents.
• Build integrations with communication platforms, business applications, and external systems.
• Improve platform reliability, observability, security, and performance.
• Collaborate closely with engineering teams to design, develop, test, and ship new capabilities.

Required Skills & Experience

• 5+ years of backend software engineering experience.
• Strong proficiency in TypeScript, Node.js, or another modern typed programming language.
• Experience building scalable, distributed, and event-driven systems.
• Strong understanding of databases, transactions, queues, background workers, and system reliability.
• Experience designing and building REST APIs and backend services.
• Hands-on experience using AI coding tools and assistants in daily development workflows.
• Understanding of AI agent frameworks, agent workflows, tool calling, context management, or agent orchestration concepts.
• Strong knowledge of system design, security principles, authentication, authorization, and access control.
• Experience debugging, optimizing, and maintaining production systems.
• Ability to work independently in large codebases and deliver high-quality solutions.

Good to Have

• Experience with AI agent frameworks or SDKs.
• Experience building developer platforms, admin consoles, or management systems.
• Knowledge of sandboxing, process isolation, containers, or secure execution environments.
• Experience with distributed systems concepts such as ordering, retries, idempotency, and fault recovery.
• Experience designing extensible architectures and integration platforms.
• Exposure to AI infrastructure, LLM applications, or autonomous agent systems.

What We're Looking For

• Strong backend engineering fundamentals.
• Security-first mindset.
• Experience building reliable production systems.
• Interest in AI agents and AI infrastructure.
• Ability to move quickly, solve complex technical problems, and work in a fast-paced environment.

About TIFIN

TIFIN is an AI-first fintech platform transforming wealth management through data science, machine learning, and intelligent automation. With strong global backing and a rapidly growing India hub, TIFIN is building scalable, next-gen financial products used by global institutions.

Role Overview

We are looking for a Senior Software Engineer with strong backend and AI integration experience to build scalable, high-performance systems. This role involves working closely with product, data science, and AI teams to develop intelligent platforms leveraging modern technologies and LLMs.

Key Responsibilities

• Design, develop, and scale backend systems and APIs using Golang and Python
• Build and integrate AI-driven features, including prompt-based workflows (Claude or similar LLMs)
• Work with MongoDB and Elasticsearch for high-performance data handling and search capabilities
• Optimize system performance, scalability, and reliability
• Collaborate with cross-functional teams (Product, AI/ML, Data Engineering)
• Contribute to architecture decisions and best engineering practices
• Write clean, maintainable, and production-grade code

Required Skills & Experience

• 3–5 years of experience in backend engineering
• Strong proficiency in Golang and/or Python
• Hands-on experience with MongoDB and Elasticsearch
• Experience working with LLMs / AI tools (Claude, OpenAI, etc.) and prompt engineering
• Good understanding of REST APIs, microservices architecture, and distributed systems
• Strong problem-solving and debugging skills

Good to Have

• Experience in fintech / SaaS platforms
• Exposure to AI/ML pipelines or data platforms
• Knowledge of cloud platforms (AWS/GCP/Azure)
• Familiarity with CI/CD and DevOps practices

Job Title: Associate AI/ML Engineer

Location: Gurugram, Haryana

Employment Type: Full-Time

About Aaizel Tech

Aaizel Tech is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We drive innovation by delivering transformative technology solutions across industries. As a growing startup, we are looking for passionate and versatile professionals eager to work on cutting-edge projects in a dynamic environment.

Role Overview

As a Associate AI/ML Engineer at Aaizel Tech, you will lead the design, development, and deployment of advanced Machine Learning models and AI solutions. You will work on projects ranging from predictive analytics and NLP to computer vision and anomaly detection. You will also mentor a team of AI/ML professionals, collaborate with cross-functional teams, and drive innovation by integrating state-of-the-art research with scalable production systems.

Key Responsibilities

1. Model Development & Optimization

Design & Implementation:

• Architect and develop end-to-end ML solutions for applications such as predictive analytics, anomaly detection, computer vision, and NLP.
• Utilize advanced techniques including deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) to address complex challenges.

Optimization:

• Fine-tune model parameters using techniques such as hyperparameter tuning (Grid Search, Bayesian Optimization, Neural Architecture Search).
• Optimize models for both accuracy and inference speed to meet real-time processing requirements.

2. Advanced Data Engineering & Integration

Data Pipeline Development:

• Build robust ETL pipelines using libraries like Pandas, NumPy, and PySpark to process large-scale datasets from satellite imagery, IoT sensors, and real-time streams.
• Integrate data from diverse sources (APIs, databases, big data platforms like Hadoop and Apache Kafka) to support real-time analytics.

Data Quality & Preprocessing:

• Implement data cleansing, feature engineering, and transformation pipelines to ensure high-quality inputs for ML models.

3. Research & Innovation

Algorithm Research:

• Conduct research on state-of-the-art ML techniques including Transfer Learning, Transformer models, and AutoML to enhance model performance.
• Innovate new algorithms for specialized tasks such as geospatial analysis, environmental modeling, or cybersecurity threat detection.

Prototyping & Experimentation:

• Develop proof-of-concept models and prototypes to validate new approaches before production deployment.

4. Deployment, MLOps & Performance Monitoring

Model Deployment:

• Deploy models using containerization (Docker) and orchestration tools (Kubernetes) to ensure scalable and efficient production environments.
• Work with cloud platforms (AWS, Azure, GCP) and model serving solutions (TensorFlow Serving, ONNX, TorchServe) for high-throughput inference.

MLOps & Lifecycle Management:

• Implement CI/CD pipelines for ML models, ensuring seamless updates and versioning.
• Develop monitoring dashboards (using Prometheus, Grafana) to track model performance and trigger retraining based on real-time feedback.

5. Collaboration & Leadership

Cross-Functional Teamwork:

• Collaborate closely with data engineers, software developers, domain experts, and product managers to integrate AI solutions into end-to-end products.

Mentorship & Code Quality:

• Provide technical leadership and mentorship to junior AI/ML engineers, ensuring adherence to coding standards and best practices.
• Participate in code reviews, maintain detailed documentation, and foster a culture of continuous learning.

Recommended Technology Stack

Backend Framework:

• Python (Django/FastAPI): Ideal for API integration, leveraging Python’s rich AI/ML ecosystem.

AI/ML Frameworks:

• PyTorch + Hugging Face Transformers + scikit-learn: For flexibility in research, multilingual NLP tasks, and classical ML pipelines.

Data Engineering:

• Apache Kafka + Apache Spark + Apache NiFi: To handle both real-time data streaming and batch processing.

Database & Storage:

• PostgreSQL with TimescaleDB extension: For structured and time-series data storage.

DevOps & Monitoring:

• Docker, Kubernetes, GitLab CI/CD, Prometheus/Grafana: For containerized deployments, continuous integration, and comprehensive monitoring.

Media Processing:

• OpenCV, FFmpeg, Tesseract OCR, Wav2Vec2: To support image, video, and speech-to-text processing where needed.

Required Skills & Qualifications

Technical Expertise:

• Experience:
• 5+ years in Machine Learning, AI research, or a related field with a proven track record of delivering production-level AI solutions.
• Programming & Frameworks:
• Expertise in Python and hands-on experience with frameworks like PyTorch, TensorFlow, and scikit-learn.
• Experience with Hugging Face Transformers for NLP applications.
• Data Engineering:
• Proficiency in building data pipelines using Pandas, NumPy, PySpark, and integrating data from diverse sources.
• Familiarity with big data platforms and real-time data processing frameworks.
• Model Deployment & MLOps:
• Hands-on experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models.
• Experience with cloud deployment and model serving solutions.
• Research & Innovation:
• Demonstrated ability to apply advanced ML techniques (deep learning, transfer learning, reinforcement learning) to solve real-world problems.
• Testing & Optimization:
• Strong background in model evaluation, hyperparameter tuning, and performance optimization.

Soft Skills:

• Exceptional problem-solving and analytical abilities.
• Strong communication skills, with the ability to present complex technical concepts to diverse stakeholders.
• Leadership and mentoring experience, with a collaborative approach to working in cross-functional teams.
• Ability to thrive in a fast-paced, dynamic environment and drive continuous innovation.

Educational Background:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field from a reputed institution.

What We Offer

• Innovative Projects: Engage in cutting-edge AI/ML projects that influence product strategy and technological innovation.
• Professional Growth: Opportunities for continuous learning, mentorship, and career advancement.
• Collaborative Culture: Work within a diverse team of experts passionate about pushing the boundaries of technology.
• Impactful Work: Play a key role in shaping AI-driven solutions and driving real-world impact.

• Develop, enhance, and maintain Java-based applications using Spring Boot and related frameworks.
• Design, implement, and optimize Microservices with RESTful APIs.
• Build and manage Spring Batch jobs, including scheduling, chunk processing, partitioning, and error handling.
• Apply object-oriented design (OOD) and GoF design patterns (Factory, Singleton, Strategy, Observer, etc.).
• Write clean, maintainable, and scalable code following best coding standards.
• Integrate applications with databases (SQL/NoSQL) and messaging systems (Kafka/RabbitMQ).
• Participate in code reviews, technical discussions, and architectural decisions.
• Troubleshoot production issues and ensure application performance, scalability, and reliability.
• Work in an Agile/Scrum environment and collaborate with cross-functional teams.

Technical Skills Required

• ** Core Java 8+**, OOP, Collections, Multithreading
• ** Spring Boot**, Spring MVC, Spring Data JPA
• ** Spring Batch** (Job/Step configuration, Tasklets, Readers/Writers, partitioning)
• ** Microservices** (REST, API Gateway, service discovery, resilience patterns)
• ** Design Patterns** (Factory, Singleton, Adapter, Strategy, Builder, Observer, etc.)
• ** Databases:** MySQL/PostgreSQL/Oracle, MongoDB (optional)
• ** Messaging:** Kafka / RabbitMQ (preferred)
• ** Build tools:** Maven/Gradle
• ** CI/CD:** Jenkins, GitLab CI, or similar
• ** Cloud:** AWS / Azure / GCP (optional but preferred)
• ** Testing:** JUnit, Mockito

About the Company:-

Our Client is a leading mid‐market investment bank with strong practices around M&A, PE, Capital Markets, Institutional Equities, Wealth Management, Insurance Broking, and Portfolio Management Services.

Job description:-

• General Insurance Domain Knowledge

• Increase reach and market share by adding new clients in the desired segment to the Organization’s Portfolio

• Achieve financial targets articulated in the strategic plans of the Organization in terms of the brokerage earned through

✓ Conversion of new clients

✓ Retention of existing clients

✓ Support of specialist vertical budgets

• Create potential databases from insurers and other sources

• Insurance Data Management

• GAP Analysis / Tender Bidding

• Client Management & Visits on a periodical basis

• Market Research on Large Accounts and Strategy Planning

• Updating self on Product Knowledge to ensure the right offerings to the Client

Location:- Mumbai

Qualification:-

• Graduation / MBA / Post-Graduation

• Insurance-related qualifications would be added advantage

Prior Experience: 6 - 10 years of experience in Corporate Sales

Technical Skills:

• Ability to handle diverse types of Clients / Large Corporates within India

What is expected from you:

● Strong Corporate Training selling skills including excellent relationship-building, networking, and time-management skills

● Excellent in Business communications and email etiquette

● Exposure to LinkedIn and other portals

● Ability to generate B2B leads

● Experience in Lead Research and Prospecting

● Experience in cold calling, email campaigns, and using social media to generate leads.

● Data Maintenance and organization skills

● MBA qualification or Experience in Business development is preferred ● Any exposure to IT Training & Talent Acquisition will be an added advantage

● Previous sales experience in a B2B environment.

What will you be doing?

● Conduct Market Research on the company and understand the need of the training needs

● Acquire new clients through networking, direct contact, or marketing campaigns

● Sending 40 to 50 emails customizing to each client

● Good at researching the email id, and contact number of the concerned person

● Close sales and achieve quarterly quotas.

● Build and nurture client relationships via various channels

● Coordinating with multiple internal stakeholders on daily basis

● Develop and implement marketing plans designed to maintain and increase existing business and capture new opportunities

e are looking for a strong mobile app developer who welcomes both engineering and maintenance tasks. The primary focus will be to implement new user interfaces and features together with automated unit and integration tests.
You will be working with our candid and collaborative team, where your knowledge and advice about application architecture and the newest mobile technologies will be highly appreciated. The code you write will need to be cleanly organized and of the highest quality. You’ll also help ensure solid application performance and an excellent user experience.

Skills and Qualifications
Deep Knowledge in Flutter with 2+ years of active development.
Extensive knowledge about mobile app development. This includes the whole process, from the first line of code to publishing in the store(s)
Familiarity with RESTful APIs and mobile libraries for networking
Familiarity with the JSON format
Experience with profiling and debugging mobile applications.
Familiarity with Git, Firebase and push notifications systems
Duties and Responsibilities
Developing new features and user interfaces from wireframe models
Ensuring the best performance and user experience of the application
Fixing bugs and performance problems
Writing clean, readable, and testable code
Cooperating with back-end developers, designers, and the rest of the team to deliver well-architected and high-quality solutions.
Knowledge on native android and ios development would be an added advantage.

We have a couple of levels in the customer service team from simply assisting customers in their pre-sales queries to solving their complaints at the highest escalations. Based on your work-ex and skill set, we offer salary & responsibilities;, some of them are mentioned here for better understanding.