Job Description

• Design, build, and maintain end to end web applications with a      strong focus on AI driven and GenAI products.

• Develop and operate CI/CD pipelines (e.g. GitLab CI, Jenkins)      covering automated testing, artifact management, security scanning, and      multi environment deployments.

• Collaborate closely with data scientists, AI engineers, and      product teams to design, implement, and deliver AI powered features,      including chatbots, RAG pipelines, and agent-based systems.

• Integrate LLM based solutions into production web applications,      including prompt orchestration, retrieval augmented generation (RAG), and      multiagent LLM workflows to enhance user experience and business outcomes.

• Participate in the design and delivery of a new RAG platform,      including document ingestion, vector search, orchestration, and response      evaluation.

• Identify performance bottlenecks, bugs, and architectural      limitations, and proactively propose and implement system improvements.

• Stay current with emerging trends in AI, GenAI, LLM      orchestration, and modern web technologies, and apply them where      appropriate.

Job Requirements

• Bachelor’s degree in computer science, Information Technology,      Software Engineering, or a related discipline.

• 3+ years of hands-on experience in front-end frameworks      (React/Angular) and back-end environments (Python/ Node.js)

• Solid experience with LLMs, including RAG architectures and      multiagent LLM systems using frameworks such as LangChain, LlamaIndex,      LangGraph, or similar.

• Demonstrated experience delivering Generative AI projects, such      as intelligent chatbots or knowledge assistants, in a production      environment.

• Familiarity with vector databases and data ingestion pipelines      is highly preferred.

• Knowledge of monitoring and observability tools (e.g., Grafana,      Loki, Prometheus) is a plus.

To apply for this role, please send your full resume by MS word format to [email protected]

Only shortlisted candidate will be notified.  Personal data collected by job applicants will be kept in strict confidence and used for recruitment purpose only.