Sales Executive

As a C++ developer working in front office electronic trading, your role involves developing and maintaining software solutions for trading systems used in financial markets. Here are some key aspects of your responsibilities:

C++ Programming: Mastery of the C++ programming language is essential, as most trading systems are built using C++ due to its performance and efficiency.

Electronic Trading Systems: You'll work with electronic trading systems that execute trades automatically based on predefined algorithms or user instructions. Understanding order execution, order management, and market data processing is crucial.

Multithreading: Multithreading is vital in electronic trading systems to handle concurrent tasks efficiently. You'll need to design, implement, and debug multithreaded applications to ensure optimal performance and reliability.

Low-Latency Systems: Electronic trading often requires low-latency systems to execute trades swiftly. You'll optimize code and algorithms to minimize latency and ensure timely order execution.

Algorithmic Trading: Knowledge of algorithmic trading strategies and implementing them in software is advantageous. This includes understanding mathematical models, statistical analysis, and risk management.

Networking: Understanding network protocols and communication is necessary for connecting trading systems to exchanges, brokers, and other financial institutions. This involves working with TCP/IP, UDP, and messaging protocols like FIX (Financial Information Exchange).

Risk Management: You'll implement risk controls and safeguards in trading systems to prevent erroneous trades or mitigate risks associated with market volatility.

Testing and Debugging: Thorough testing and debugging are crucial to ensure the reliability and stability of trading systems. You'll write automated tests, perform manual testing, and debug issues to maintain system integrity.

Performance Optimization: Continuously optimizing the performance of trading systems is essential to handle increasing trading volumes and maintain competitiveness. This involves profiling code, identifying bottlenecks, and applying optimizations.

Regulatory Compliance: Adhering to regulatory requirements and standards in the financial industry is critical. You'll ensure that trading systems comply with regulations such as MiFID II, Dodd-Frank, and others applicable to electronic trading.

Collaboration: Working closely with traders, quants, risk managers, and other stakeholders to understand requirements and implement solutions that meet business needs.

Documentation: Maintaining clear and comprehensive documentation for code, algorithms, and system architecture is important for knowledge sharing and compliance purposes.

Overall, being a C++ developer in front office electronic trading requires a strong technical foundation, attention to detail, and the ability to work effectively in a fast-paced and demanding environment.

Job Overview

We are seeking an agile AI Engineer with a strong focus on both AI engineering and SaaS product development in a 0-1

product environment. This role is perfect for a candidate skilled in building and iterating quickly, embracing a fail fast

approach to bring innovative AI solutions to market rapidly. You will be responsible for designing, developing, and

deploying SaaS products using advanced Large Language Models (LLMs) such as Meta, Azure OpenAI, Claude, and Mistral,

while ensuring secure, scalable, and high-performance architecture. Your ability to adapt, iterate, and deliver in fast-

paced environments is critical.

Responsibilities

 Lead the design, development, and deployment of SaaS products leveraging LLMs, including platforms

like Meta, Azure OpenAI, Claude, and Mistral.

 Support product lifecycle, from conceptualization to deployment, ensuring seamless integration of AI

models with business requirements and user needs.

 Build secure, scalable, and efficient SaaS products that embody robust data management and comply

with security and governance standards.

 Collaborate closely with product management, and other stakeholders to align AI-driven SaaS solutions

with business strategies and customer expectations.

 Fine-tune AI models using custom instructions to tailor them to specific use cases and optimize

performance through techniques like quantization and model tuning.

 Architect AI deployment strategies using cloud-agnostic platforms (AWS, Azure, Google Cloud), ensuring

cost optimization while maintaining performance and scalability.

 Apply retrieval-augmented generation (RAG) techniques to build AI models that provide contextually

accurate and relevant outputs.

 Build the integration of APIs and third-party services into the SaaS ecosystem, ensuring robust and

flexible product architecture.

 Monitor product performance post-launch, iterating and improving models and infrastructure to

enhance user experience and scalability.

 Stay current with AI advancements, SaaS development trends, and cloud technology to apply innovative

solutions in product development.

Qualifications

 Bachelor’s degree or equivalent in Information Systems, Computer Science, or related fields.

 6+ years of experience in product development, with at least 2 years focused on AI-based SaaS

products.

 Demonstrated experience in leading the development of SaaS products, from ideation to deployment,

with a focus on AI-driven features.

 Hands-on experience with LLMs (Meta, Azure OpenAI, Claude, Mistral) and SaaS platforms.

 Proven ability to build secure, scalable, and compliant SaaS solutions, integrating AI with cloud-based

services (AWS, Azure, Google Cloud).

 Strong experience with RAG model techniques and fine-tuning AI models for business-specific needs.

 Proficiency in AI engineering, including machine learning algorithms, deep learning architectures (e.g.,

CNNs, RNNs, Transformers), and integrating models into SaaS environments.

 Solid understanding of SaaS product lifecycle management, including customer-focused design,

product-market fit, and post-launch optimization.

 Excellent communication and collaboration skills, with the ability to work cross-functionally and drive

SaaS product success.

 Knowledge of cost-optimized AI deployment and cloud infrastructure, focusing on scalability and

performance.

Company Description

CorpCare is India’s first all-in-one corporate funds and assets management platform based in Mumbai. We offer a single window solution for corporates, family offices, and HNIs to formulate and manage treasury management policies. Our portfolio management system provide assistance in conducting reviews with investment committees and the board. 

Role Description 

• Role- Python Developer 
• CTC- Upto 12 LPA 

This is a full-time on-site role for a Python Developer located in Mumbai. The Python Developer will be responsible for back-end web development, software development, object-oriented programming (OOP), programming, and databases. The Python Developer will also be responsible for performing system analysis and creating robust and scalable software solutions. 

Qualifications 

• 2+ years of work experience with Python (Programming Language)
• Expertise in Back-End Web Development • Proficiency in Software Development specially in Django framework, Fast API, Rest APIs, AWS
• Experience in Programming and Databases
• Understanding of Agile development methodologies 
• Excellent problem-solving and analytical skills
• Ability to work in a team environment
• Bachelor's or Master's degree in Computer Science or relevant field
• Relevant certifications in Python and related frameworks are preferred

Roles/Responsibilities:

 Own a team of 15-20 Developers and QAs at various levels

 Provide continuous feedback, training and make sure team is working on their full

    potential at all time

 Review the architecture/design of a product/module/feature and provide feedback

 Architect, design and/or hands-on code the critical portion of a

   product/module/feature

 Mentor the tech-leads on architecting the product to deliver on-time

Jobs Skills required:

 Strong tech background of working in product company

 Understanding of various backend and frontend technologies and its core concepts

 Ability to understand the business problems and solve it with innovative tech

    solutions

 Very strong analytical and problem-solving skills in super changing environment

Required Skills:

• 2+ year of experience in Development in JAVA technology.
• Strong Java Basics
• Spring Boot or Spring MVC
• Hands on experience on Relational Databases (SQL query or Hibernate) or MongoDB (JSON parsing)
• Proficient in REST API development
• Good at problem solving

Good to Have Skills:

• 2+ years of experience in using Java
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentor ship/coaching is highly desirable.

Desired candidates must have 3-6 years of experience as NodeJs Developers.

If the candidate cannot relocate to Gurgaon, we can also provide permanent Work from home for this position.

Roles and responsibilities:

• Responsible for understanding functional and business requirements and translate them into effective code
• Provide support till deployment of code into production.
• Ownership for ensuring code optimization, problem diagnosis, and on-time delivery
• Implement solutions as per the pre-defined framework /guidelines and adherence to processes
• Finding an optimal solution for the problem statement
• Conduct peer code review.

What candidate should know about:

• Excellent hands-on experience with Node.Js, Express.Js, JavaScript
• Understanding the nature of asynchronous programming and its quirks and workarounds
• Excellent hands-on experience with MongoDB, Mongo aggregation, MySQL
• Ability to build REST services, Authentications, MVC applications
• Excellent Object Oriented Programming skills and ability to write modular, secure, scalable, and maintainable code
• Experience with Elastic Search, Redis.
• Knowledge about AWS components (S3, EC2, Cloudfront, Redis Clusters, etc.)
• Self-learning abilities are required
• Familiarity with upcoming new technologies is a strong plus