Total EBiz Solutions Hiring! Full Time Full Stack Engineer in - Ricebowl

Job Description:

Provide technical leadership to an agile, cross-functional development team

Define and communicate technical vision across multiple workstreams

Design scalable, secure, and resilient architectures for search and AI-powered systems

Make architectural trade-offs balancing performance, cost, reliability, and security

Collaborate with other Tech Leads to plan technical spikes and long-term technical strategy beyond sprint scope

Identify technical risks early and lead mitigation strategies

Architect systems leveraging: LLM integrations (e.g., Azure OpenAI, OpenAI APIs, etc.) Retrieval-Augmented Generation (RAG) Semantic search and vector databases

Establish guardrails for AI systems including: Evaluation frameworks Observability and monitoring Data governance and security considerations

Guide the team from experimentation → prototype → production-ready AI systems

Evaluate emerging AI technologies and assess suitability for public sector use cases

Champion Agile technical practices (TDD, pair programming, refactoring, CI/CD)

Lead DevOps adoption including build, release automation, and infrastructure improvements

Oversee automated testing strategy (unit, integration, performance)

Lead resolution of technical blockers and retrospective improvements

Ensure engineering standards are upheld across the team

Work closely with Product Owners and Business Analysts to prioritise business stories and technical investments

Collaborate with UX Designers for feasibility studies and solution estimation

Partner with Delivery Managers on long-term planning, system integrations, and resource forecasting

Represent the development team in governance and stakeholder meetings

Mentor and coach engineers to grow both technically and professionally How to Succeed

5–7+ years of experience in web application development

Proven experience leading agile development teams

Strong hands-on experience with: Node.js, TypeScript Cloud platforms (Azure, AWS, GCP) SQL & NoSQL databases CI/CD pipelines DevOps practices

Designed or led systems involving: Search engines (crawl, index, ranking, relevance tuning) Semantic search or vector search RAG architectures

Production experience integrating LLMs into applications

Experience managing AI-related trade-offs: Latency vs cost Accuracy vs hallucination risks Prompt engineering strategies Model evaluation methodologies

Understanding of AI system governance, security, and responsible AI practices

Strong coaching and mentoring capabilities

Comfortable leading technical discussions and influencing stakeholders

Proactive self-starter with strong ownership mindset

Passionate about continuous improvement

Curious about emerging technologies and willing to experiment responsibly

Strong communication and stakeholder management skills

Meticulous attention to quality and engineering standards

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