Network Engineer

Review Criteria:

Mandatory:

• Strong AI Runtime Engineering (Lead / Staff) Profiles
• Must have 4+ years of software engineering experience
• Must have proven 1+ years of experience designing, building, and owning AI runtime infrastructure supporting distributed training and/or inference at scale
• Must have hands-on experience optimizing deep learning runtimes such as PyTorch, TensorFlow, etc
• Must have strong low-level performance engineering experience, including profiling, debugging, and optimizing system throughput, latency, and reliability
• Must have experience leading or mentoring a team, including technical guidance, code reviews, and delivery ownership
• Must have strong programming skills in Python, Java, C++ , etc

Preferred:

Experience with Kubernetes, Ray, TorchElastic, or custom AI job orchestration frameworks

Exposure to LLM training pipelines, checkpointing, elastic or distributed training orchestration

Role & Responsibilities:

As Lead/Staff AI Runtime Engineer, you’ll play a pivotal role in the design, development, and optimization of the core runtime infrastructure that powers distributed training and deployment of large AI models (LLMs and beyond). This is a hands-on leadership role - perfect for a systems-minded software engineer who thrives at the intersection of AI workloads, runtimes, and performance-critical infrastructure. You’ll own critical components of our PyTorch-based stack, lead technical direction, and collaborate across engineering, research, and product to push the boundaries of elastic, fault-tolerant, high-performance model execution.

What you’ll do:

Lead Runtime Design & Development:

• Own the core runtime architecture supporting AI training and inference at scale.
• Design resilient and elastic runtime features (e.g. dynamic node scaling, job recovery) within our custom PyTorch stack.
• Optimize distributed training reliability, orchestration, and job-level fault tolerance.

Drive Performance at Scale:

• Profile and enhance low-level system performance across training and inference pipelines.
• Improve packaging, deployment, and integration of customer models in production environments.
• Ensure consistent throughput, latency, and reliability metrics across multi-node, multi- GPU setups.

Build Internal Tooling & Frameworks:

• Design and maintain libraries and services that support model lifecycle: training, check pointing, fault recovery, packaging, and deployment.
• Implement observability hooks, diagnostics, and resilience mechanisms for deep learning workloads.
• Champion best practices in CI/CD, testing, and software quality across the AI Runtime stack.

Collaborate & Mentor:

• Work cross-functionally with Research, Infrastructure, and Product teams to align runtime development with customer and platform needs.
• Guide technical discussions, mentor junior engineers, and help scale the AI Runtime team’s capabilities.

Ideal Candidate:

• 5+ years of experience in systems/software engineering, with deep exposure to AI runtime, distributed systems, or compiler/runtime interaction.
• Experience in delivering PaaS services.
• Proven experience optimizing and scaling deep learning runtimes (e.g. PyTorch, TensorFlow, JAX) for large-scale training and/or inference.
• Strong programming skills in Python and C++ (Go or Rust is a plus).
• Familiarity with distributed training frameworks, low-level performance tuning, and resource orchestration.
• Experience working with multi-GPU, multi-node, or cloud-native AI workloads.
• Solid understanding of containerized workloads, job scheduling, and failure recovery inproduction environments.

Urgent Hiring !!!

We are looking for Flutter Developer,

1+ years of experience in developing native and cross-platform mobile applications

Experience in one of the programming languages: (Java and Kotlin (Android) Swift and Objective-C (iOS))

React Native (hybrid development)

Knowledge of Flutter SDK, Getex, Provider, Android Studio and IntelliJ, Visual Studio Code,

SQLite, MySQL, and PostgreSQL databases

REST APIs

Experience with Git and Jira

Familiarity with Agile development approaches

Experience: 1 to 2 years

Location: Surat (onsite & fulltime)

AegisCovenant is looking for a field sales executive to join our team! In this role, you will use your knowledge of sales, marketing, and communication to drive company growth and success. You will work with a variety of customers and clients to build relationships and create long-term partnerships.

Key responsibilities:

1. Develop sales and marketing strategies to increase sales opportunities with the existing customer base

2. Develop long-term partnerships with new and existing clients

3. Utilize Salesforce to track sales and manage customers

4. Collaborate with cross-functional teams to ensure customer satisfaction

5. Monitor competitor activity and adjust marketing strategies accordingly

6. Analyze customer feedback to identify areas of improvement

7. Generate reports on sales, marketing, and customer satisfaction

8. Monitor customer service experience and address customer complaints quickly and efficiently

9. Generate ideas to promote products and services

Who can apply?

1. Male candidate preferable

2. Open to travel within and around the state/region to ensure potential customers/clients are met to achieve outside sales

3. This is an exciting opportunity to gain hands-on experience and apply your expertise to help strengthen our business

4. Our ideal candidate should know about Salesforce, market research, effective communication, and marketing strategies

5. Candidate should have a basic insurance understanding and be willing to travel within and outside of the state/region to meet potential customers/clients to accomplish outside sales

• Worked as a Node.js developer on multiple projects with relevant experience between 1 to 4+ Years.
• Extensive knowledge of Nodejs, JavaScript, APIs, web stacks, libraries, and frameworks.
• Able to work on independent nodejs projects.
• Experience in mongoDB database queries. Able to write and manage complex DB queries .
• Exceptional analytical and problem-solving aptitude.

About us: Nexopay helps transforming digital payments and enabling instant financing for parents, across schools and colleges world-wide.

Responsibilities:

• Work with stakeholders throughout the organisation and across entities to identify opportunities for leveraging internal and external data to drive business impact
• Mine and analyze data to improve and optimise performance, capture meaningful insights and turn them into business advantages
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop custom data models and algorithms to apply to data sets
• Use predictive modeling to predict outcomes and identify key drivers
• Coordinate with different functional teams to implement models and monitor outcomes
• Develop processes and tools to monitor and analyze model performance and data accuracy

Requirements:

• Experience in solving business problem using descriptive analytics, statistical modelling / machine learning
• 2+ years of strong working knowledge of SQL language
• Experience with visualization tools e. g., Tableau, Power BI
• Working knowledge on handling analytical projects end to end using industry standard tools (e. g., R, Python)
• Strong presentation and communication skills
• Experience in education sector is a plus
• Fluency in English