Senior Backend Engineer

Role & Responsibilities

Design, develop, and implement high-quality software solutions for payment processing.

Maintain a regular release cadence and manage the product backlog.

Ensure timely and lossless communication across teams.

Uphold engineering values and best practices.

Collaborate with international teams to ensure successful product development and delivery.

Ideal Candidate

A strong technical background in software engineering and architecture, with experience in modern programming language

Ability to work independently with very little direction, taking full ownership of projects.

Identifying blind spots, anticipate challenges, and prioritize work effectively

Exceptional communication and organizational skills.

A Bachelor's degree in Computer Science, Engineering, or equivalent experience.

8+ years of relevant experience preferred

Proficiency using Python, Kafka, Kubernetes, and AWS

Experience with Distributed Task Queues such as Celery and RabbitMQ is preferred.

Experience with RDBMS/SQL is also preferred.

We are seeking a highly skilled and motivated Senior Software Engineer (AI/ML) to design, develop, and deploy cutting-edge AI solutions across our organisation. The ideal candidate will possess strong expertise in machine learning, natural language processing (NLP), and generative AI, along with solid experience in software engineering principles. This role requires a hands-on technologist who can collaborate with cross-functional teams to build scalable, high-performance AI systems that deliver measurable business impact.

The core responsibilities for the job include the following:

Technical Leadership:

• Lead end-to-end development and deployment of AI/ML models and applications.
• Design scalable, maintainable AI architectures and data pipelines.
• Provide technical mentorship to junior engineers and peers across data science and software engineering teams.

Solution Design and Development:

• Collaborate with product managers, architects, and business stakeholders to identify and define AI-driven solutions.
• Develop, evaluate, and optimise model training strategies, evaluation metrics, and deployment methods.
• Stay current with emerging AI/ML technologies, frameworks, and tools (e. g., PyTorch, TensorFlow, Hugging Face, and LangChain drive their adoption where relevant.

Project Management:

• Translate business requirements into actionable technical deliverables with defined timelines and milestones.
• Ensure code quality, scalability, and performance in production environments.
• Identify potential risks, implement mitigation strategies, and ensure timely delivery of AI solutions.

Collaboration and Communication:

• Work closely with DevOps, MLOps, and Data Engineering teams for seamless model integration and deployment.
• Effectively communicate complex AI concepts to both technical and non-technical stakeholders.

Requirements:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 3+ years of overall software engineering experience, with a minimum of 3 years in AI/ML development.

Mandatory Technical Skills:

• Proficiency in Python and Generative AI frameworks.
• Strong understanding of Retrieval-Augmented Generation (RAG), PyTorch, Large Language Models (LLMs), and AWS.
• Hands-on experience with AI/ML tools and libraries such as TensorFlow, Hugging Face, and LangChain.

Proven experience in:

• Deep Learning Frameworks: TensorFlow, PyTorch.
• NLP Models: Transformers, BERT, LLMs (GPT, LLaMA, Claude, etc. ).
• ML Lifecycle Tools: MLflow, Kubeflow, Vertex AI, Azure ML.
• Model Deployment: REST APIs, Docker, Kubernetes, Serverless Architectures.
• Cloud Platforms: AWS / Azure.
• Vector Databases: FAISS, Qdrant, Pinecone, and semantic search implementations.
• Strong programming expertise in Python, with familiarity in SQL, Scala, or Java as required.

Preferred Qualifications:

• Experience with Generative AI, LLM fine-tuning, or RAG-based systems.
• Understanding of Responsible AI practices, including bias detection, model explainability, and governance.
• Contributions to open-source AI/ML projects or publications in recognised AI research forums.

What We’re Looking For:

• Strong experience in Python (5+ years).
• Hands-on experience with any database (SQL or NoSQL).
• Experience with frameworks like Flask, FastAPI, or Django.
• Knowledge of ORMs, API development, and unit testing

1. Design patterns- socket communication/ micro services architecture 

2. Caching - REDIS MEMCACHED etc

3. Database - MONGO, SQL etc. min 2yrs experience with these.

4. Features created for large concurrent requests.

5. Node Js, Go lang any asynchronous programming language min 2 yrs exp with any one of them.

6. Message Queues - RABBIT MQ, Kafka etc.

7. Logging and APM (application process manager) good to have.

8. DS ALGO good to have.

Brief Overview:

Through your work at Vauld, you will have the opportunity to change money for the 21st century. We’re a leading cryptocurrency platform and are passionate about increasing economic freedom around the world. 

We are looking for a Lead Backend Engineer who has hands-on experience working with and leading Product teams and has solved for and built complex backend solutions. You'll be involved with bringing features and products from idea to completion and mentoring an incredibly talented group of peers.

If you are looking for a challenging work environment where you can grow and deepen your technical skills as a backend engineer and architect, we’d love to chat with you!

Key Responsibilities:

• Working with CXO’s, product managers, devops, and frontend engineers to collaboratively own the backend-end layer for Vauld’s application.
• Architect and build highly scalable, secure features keeping the long term vision of the product.

Requirements:

• You have 7 years or more of backend development experience with expertise in designing and implementing high-performance applications.
• Worked with and built high performance products using Node Js/GoLang/ Python and have seen the product evolution cycle from PoC to Production 
• You have a deep understanding of design principles and can rightly judge/implement solutions to complex problems
• You are capable of writing high-quality code that conforms to the standards and best practices in a particular language/framework.
• You have experience building a product using a mainstream library or framework.
• You love to own end to end responsibility, starting from defining the problem statement (either yourself or alongside your peers), development (PoC if needed), testing, releasing in staging & then production environment, and finally monitoring.

Preferred:

• Previous work experience in product-based startups
• Experience building for products that have scaled and have seen the product evolution
• Understands the cryptocurrency landscape

Working at Vauld:

You will join a fun and intellectually stimulating work environment. If you’re excited by the idea of making a real impact and joining a team where we pride ourselves on being disruptive and ambitious, a career with Vauld is perfect for you.

Following are the things that we are looking for in our NodeJS developer:

• Full SDLC knowledge, preferably in an agile environment.
• Strong written and verbal communication skills. Strong critical thinking & problem solving skills.
• Understanding of Unix / Linux based systems.
• Hands-on exposure to deeply linked relational databases – preferably in MySQL
• Ability to take a feature or product through the full Software Development Life Cycle.
• Strong communication skills, including the ability to both collaborate well and also the ability to convey technical ideas and concepts to non-technical stakeholders.
• Identify the interaction needs and how the API. must be developed based on design comps, product specs, etc.
• Continuously evaluate and implement new technologies to maximize development efficiency.
• Address and prioritize production level bugs and application performance improvements.
• An adaptable attitude and understanding of the agile methodology.
• Unit-test code for robustness, including edge cases, usability, and general reliability.
• Collaborate with cross-functional teams to define, design, and release new features.

• You will own a functional area - from product conception to its delivery to customers
• You will be designing and coding independently in multiple tech components related to your functional area
• You will also need to develop a deep understanding of non-functional requirements, such as reliability and availability, scale, horizontal scalability, etc., over time and make tech stack decisions accordingly
• You will also be actively mentoring our junior engineers. You need to someone who owns the codebase quality
• We are looking for seasoned engineers who are quality conscious, product thinkers, business cognizant and smart – not just coders
• Engineers get to significantly amplify the impact of their efficient work or creations with the scale that startups operates at
• Love the Startup Hustle? You have come to the right place!

Requirements:

• 2+ years of deep expertise with JavaScript (Node.js) and any objected oriented high level proprietary or open source language with strong programming constructs
• Substantial experience in building complex and scalable solutions
• Strong problem solving skills
• Good understanding of data structures & algorithms and their space & time complexities
• Strong technical aptitude and a good knowledge of CS fundamentals
• Hands-on experience working with Databases and Linux platform
• Strong object oriented design skills, ability to apply design patterns, and an uncanny ability to design intuitive module and class-level interfaces
• Experience in Consumer facing apps - Analytics SDKs integrations, Marketing SDKs integrations, Performance optimisation, SQL databases
• Should have developed and delivered successful mobile app projects
• Experience with Devops including Docker, AWS, Serverless

Perks

• Opportunity to start from scratch
• Flexible and cool work environment - Startup work culture
• Young and dynamic team
• Offsites
• Regular game and hangout sessions every week