At Exaze, we constantly seek exciting talent to join an organization that believes in nurturing dreamers, innovators, and doers willing to expand their horizons in the software industry. To be successful in this role, the candidate should have excellent communication skills and be able to understand requirements and ask questions to clarify them. The candidate should be able to work independently and as part of a team and be committed to delivering high- quality results.
Role : Full Stack Software Engineer AI & Automation
Experience : 6-12 Years
Location : Mumbai
Mode Of Work : Hybrid (Work from Office / Hybrid, as applicable)
The ideal candidate will have:
- A solid full stack engineering background with experience in C#, .NET, SQL, Python, TypeScript, Azure PaaS.
- Extensive experience designing and developing robust, scalable applications and high-traffic APIs.
- Experience of Azure AI Foundry and Azure AI Services for building, deploying and managing AI applications and agents at scale.
- Skills in prompt engineering and chaining techniques to optimize LLM outputs, including few-shot examples, function calling, and response formatting for production use.
- Experience in building AI-driven user interfaces using modern frameworks (e.g. React, Angular), with real-time interaction powered by LLM backends.
- Hands-on experience using AI coding copilots (e.g. GitHub Copilot, ChatGPT) to accelerate development, reduce boilerplate, and improve code quality.
Role and key responsibilities:
- Collaborate with stakeholders, business analysts, architects and engineers to design, develop, test and implement automated AI enabled solutions.
- Write clean code that is secure, testable and performance oriented
- Participate in code reviews and peer programming sessions to contribute to the team's overall improvement.
- Communicate with internal enablement teams and third-party vendors to integrate new technology and AI enablement into the business
Core skills and knowledge
- Knowledgeable of software engineering fundamentals from design, coding and testing through to deployment and monitoring.
- Solid understanding of C#, .Net, Python, SQL and Typescript.
- Extensive experience using Azure Platform-as-a-Service (PaaS) offerings, including App Services, Container apps, Azure Functions, Key Vault, Entra ID, Azure AD B2C, Log Analytics, Hybrid Connections/ExpressRoute, and Azure API Management (APIM).
- Experience utilizing OpenAI / Azure AI Service Api’s and building models, tools and services with Azure AI Foundry.
- Designing and testing prompt-based workflows, including integration with frameworks i.e. Semantic Kernal
- Good experience with Database and ETL technologies i.e. SQL, Azure Cosmos DB, Azure Data Factory, Azure Data Lake, Power Automate, Microsoft Fabric.
- Experience with infrastructure as code i.e. Terraform / Bicep
- Proficient in developing front-end web applications using frameworks such as Angular or React with TypeScript, including implementing state management.
- Good knowledge of HTML, CSS and JavaScript.
- Good experience of applying AI productivity tools (e.g. ChatGPT, Gemini, Copilot in Microsoft 365) in daily workflows for task automation, documentation, and planning.
- Understanding of ETL automation and use in business processes.
- Any other attributes that would be helpful, but not essential for the role
- Hands-on experience in Machine Learning (ML), training and fine-tuning large language models (LLMs), and integrating Natural Language Processing (NLP) APIs.
- Solid understanding of Agile methodologies, including Scrum and Kanban, with a focus on tracking and improving performance using DORA metrics.
- Experience using Azure Devops for planning, building, scanning and deploying production code via pipelines.
- Experience working with CRM platforms and integrating with related APIs, i.e. Dynamics 365, Salesforce.
- Passion for problem solving and enjoyment in dealing with complex technical issues.
- Good understanding of financial markets and Investment banking business, including equities & corporate broking.
- Ability to work under pressure and context switch when priority requires.
- Willingness to learn, with a proactive nature in asking questions to expand knowledge
