. Net Developer ( AI )

Job Title: Senior Software Engineer

Location:

• Apply core engineering concepts, technology expertise, and domain knowledge to develop high-quality software solutions.
• Ensure both functional and non-functional requirements are met through modern development practices.
• Influence and uplift engineering culture by fostering empowerment and excellence across teams.
• Contribute to building reliable, scalable, and secure software solutions that support the financial wellbeing of our customers.
  

Roles & Responsibilities

AI & Modern Engineering Responsibilities

• Build scalable agentic AI solutions that integrate with existing systems and align with business goals.
• Implement automated validation of LLM outputs and define performance metrics.
• Apply ethical AI frameworks and tooling in model development.
• Use AWS services such as SNS, SQS, Lambda for building and running AI workloads.
• Work with big data technologies such as Apache Spark and Vector Databases.
• Collaborate with software engineers to deploy AI models to production, ensuring reliability and scalability.
• Develop monitoring systems to track AI model performance in live environments.
• Support research and exploration of emerging GenAI models, frameworks, and methodologies.
  

Software Engineering Responsibilities

• Analyse systems/applications and provide recommendations for enhancements.
• Contribute to technical design, architectural decisions, and modernization initiatives.
• Lead and mentor engineering efforts across geographically distributed teams.
• Support software delivery through structured release and change management processes.
• Troubleshoot complex environment and deployment issues.
• Prepare documentation and scripts for deployment across development, test, and production environments.
  

Essential Skills

• 6+ years of hands-on software development experience, focused on scalable web applications and API development.
• Strong proficiency in:
• .NET Core
• React.js, TypeScript, HTML, JavaScript, CSS
• Frontend–backend integration and web architecture
• Proficient in Python for AI/ML, including traditional ML and modern frameworks.
• Strong experience with AWS services (SNS, SQS, Lambda) and containerized environments.
• Solid understanding of MLOps practices and tools such as MLflow, Langfuse, LlamaIndex.
• Knowledge of:
• Prompt Engineering, RAG
• Vector Databases (DynamoDB, Redshift)
• Spark, Parquet, Iceberg
• Familiar with Agile methodologies and Test-Driven Development (TDD).
• Skilled in Git and build systems.
• Excellent communication skills with the ability to articulate technical decisions across teams.
• Self-driven, collaborative, and capable of working independently.
• Passionate about clean coding, best practices, and continuous improvement.
• Growth mindset with willingness to learn new tools and technologies.