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AI Native Developer

SSL Wireless
Dhaka
Full TimeNot specifiedBdJobsActive Hiring

Salary

Negotiable

Deadline

16 May 2026

Source

BdJobs

Location

Dhaka

72%

Match Score

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Salary

Negotiable

Deadline

16 May 2026

Key Responsibilities

* Architect AI-driven products by integrating artificial intelligence into every development stage, leveraging Large Language Models, agentic frameworks, and AI-native tools. * Drive the design, prototyping, and deployment of scalable AI applications, prioritizing speed, reliability, and efficiency. * Develop and deploy AI-native applications using Large Language Models, embeddings, and vector databases to deliver cutting-edge solutions. * Lead the development of agentic systems and multi-agent workflows, integrating tools to create seamless interactions. * Implement advanced prompt engineering and structured output strategies to optimize AI performance. * Build, optimize, and refine RAG pipelines for accurate knowledge retrieval, ensuring high-quality results. * Integrate Large Language Model APIs into scalable backend systems, enabling efficient and reliable AI functionality. * Manage and optimize vector databases, leveraging semantic search capabilities to drive business value. * Ensure AI system reliability by designing and implementing monitoring, evaluation, and guardrail mechanisms. * Optimize AI system performance, focusing on latency, cost, caching, streaming, and model selection to achieve maximum efficiency. * Leverage AI-native Integrated Development Environments (IDEs) to accelerate development, automate routine coding tasks, and streamline the deployment of production features using AI-assisted workflows.

Requirements

Experience

2-3 years

Skills

LLM IntegrationAgentic DevelopmentRAG & Vector DBsPrompt EngineeringFrameworksAI OperationsAI-Native Development ToolsSecure data pipelinesDockerKubernetesMLOps practicesCloud LLM servicesFine-tuning open-source modelsEvaluation frameworksGraph-based reasoningNeo4j

Education

  • Bachelor's degree in Computer Science, Engineering, or a related field

Additional Requirements

  • Technical Expertise: LLM Integration, Agentic Development, RAG & Vector DBs, Prompt Engineering, Frameworks, AI Operations, AI-Native Development Tools
  • Secure data pipelines with privacy, compliance, and continuous learning loops
  • Docker and Kubernetes
  • MLOps practices
  • Cloud LLM services
  • Fine-tuning open-source models
  • Evaluation frameworks
  • Graph-based reasoning and structured knowledge retrieval with Neo4j

Compensation & Benefits

Mobile billWeekly 2 holidaysMedical allowanceSalary Review: YearlyFestival Bonus: 2Opportunity to work on cutting-edge AI technologiesCareer growth and learning opportunitiesAttractive salary as per industry best practiceWeekly medical consultancyAnnual leave encashment

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