Software Engineer

Opportunity Description Software Engineer

Our end client a fast-growing technology and digital solutions company focused on building AI-powered products, intelligent applications, and scalable cloud-native platforms combines modern software engineering with emerging AI technologies to develop innovative solutions for real-world business challenges. The organization provides an agile, innovation-driven environment where engineers can work on next-generation products and technologies.

They are looking for an experienced Software Engineer with expertise in Rust, Svelte, LanceDB, and Generative AI to build high-performance applications and AI-powered solutions. This is a high-impact opportunity for engineers who enjoy working with modern technology stacks, solving complex technical challenges, and contributing to innovative GenAI products.

Role & responsibilities

• Design, develop and maintain high-performance backend services using Rust.
• Develop modern, responsive web applications using Svelte/SvelteKit.
• Build and manage vector search and AI retrieval capabilities using LanceDB.
• Design and implement RAG and GenAI-powered applications.
• Integrate LLMs and AI services into enterprise applications.
• Develop workflows involving embeddings, semantic search and contextual
  retrieval.
• Implement appropriate security and privacy controls around sensitive enterprise
  data.
• Contribute to DLP, data governance and AI governance implementation.
• Implement appropriate access controls and safeguards for AI applications.
• Collaborate with product and engineering teams to translate business
  requirements into scalable technical solutions.
• Write clean, maintainable and well-tested production code.
• Participate in architecture discussions, technical design and code reviews.
• Evaluate emerging technologies within the GenAI ecosystem.

Must Have :

• 3 - 5 years of professional software development experience.
• Hands-on development experience with Rust.
• Hands-on experience with Svelte/SvelteKit for frontend application development.
• Hands-on experience with LanceDB.
• Strong software engineering and programming fundamentals.
• Experience developing backend services, APIs and integrations.
• Strong understanding of modern frontend development using
  JavaScript/TypeScript.
• Understanding of Generative AI and LLM fundamentals.
• Understanding of:
  Embeddings and vector search
  Vector databases
  RAG (Retrieval-Augmented Generation)
  LLM APIs and integrations
  Prompt engineering
  AI/agentic workflows
• Understanding of data privacy and security principles.
• Understanding of Data Loss Prevention (DLP) concepts and protection of sensitive
  information.
• Understanding of AI/data governance, access controls and responsible handling of
  enterprise data.

Good to Have:

• Experience building production-grade RAG applications.
• Experience with AI agents and workflow orchestration.
• Experience with PII/sensitive-data detection, masking or redaction.
• Knowledge of RBAC and enterprise access-control mechanisms.
• Familiarity with LLM security, guardrails and responsible AI practices.
• Experience with cloud platforms, Docker and containerised deployments.
• Understanding of enterprise security and compliance requirements.