GEN AI Lead/Chartered Engineer

Posted 5 Days Ago
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Dhaka, BGD
In-Office
Senior level
Digital Media • Information Technology • Mobile • On-Demand
The Role
Lead architecture and engineering of enterprise Generative AI platforms, establishing LLMOps, RAG, agent orchestration, prompt management, and AI governance. Design scalable, secure GPU inference and cloud-native infrastructures, build copilots and conversational/knowledge systems, optimize performance and cost, mentor engineers, and drive production deployment and evaluation of GenAI systems.
Summary Generated by Built In

Job Description 

 

At our company, we hold an uncompromising stance against mediocrity, committing ourselves to work that delivers audacious impact and is fueled by a pioneering spirit of continuous progress and innovation. This ambition is supported by leadership grounded in courage and clarity—ensuring alignment, accountability, and purpose in everything we do. Integrity shapes how we hire, recognize, and develop talent, with a focus on potential, ambition, and long-term growth. Together, we operate with collective strength, prioritizing meaningful results over unnecessary rituals and navigating challenges with unity and resolve. Above all, we remain steadfast and resilient, never losing sight of our commitments and continuously pushing forward through complexity with determination and purpose to create a better life for all. 

 

  • Define the architecture, standards, and engineering direction of enterprise Generative AI platforms and applications.

  • Architect scalable, secure, and cost-efficient enterprise GenAI platforms, AI infrastructure, and reusable AI services.

  • Establish standards and best practices for LLMOps, RAG pipelines, agent orchestration, prompt management, AI governance, model evaluation, and AI observability.

  • Lead development of enterprise AI copilots, conversational BI systems, AI-powered customer service assistants, recommendation and personalization engines, knowledge retrieval systems, and autonomous workflow agents.

  • Build advanced orchestration workflows involving multiple AI agents and tools, and drive production deployment and scaling of GenAI systems.

  • Mentor ML and GenAI engineers across the AI Excellence Team and partner with business leaders to translate high-impact opportunities into scalable AI solutions.

  • Evaluate emerging GenAI technologies, models, and frameworks, and influence enterprise AI strategy, governance, and roadmap.

  • Lead performance optimization for latency, throughput, GPU utilization, inference cost, and reliability, while ensuring compliance with security, privacy, and responsible AI standards.

Academic Qualification

  • Bachelor’s or Master’s Graduation in Computer Science/Applied Statistics/Business/Relevant Field

Job Experience Required

  • 4-7 years of experience in AI/ML engineering, software engineering, distributed systems, and enterprise AI platforms, with proven experience building and deploying large-scale AI/GenAI systems in production environments

Required Capabilities

  • Strong expertise in Python and backend engineering, with proven ability to architect distributed systems and operationalize production-scale GenAI applications.

  • Strong hands-on experience with LLM application development, prompt engineering frameworks, RAG architectures, AI agents and tool-calling systems, semantic search and embeddings, AI evaluation and guardrails, hallucination mitigation, and context/memory management.

  • Experience with GenAI frameworks and ecosystem tools such as LangChain, LlamaIndex, FastAPI, Docker, Kubernetes, MLflow, and CI/CD and DevOps workflows.

  • Experience with AI infrastructure including GPU-based inference systems, open-source LLM deployment, fine-tuning techniques (LoRA/PEFT), vector databases, distributed AI workloads, and cloud-native architectures.

  • Hands-on familiarity with major cloud platforms (Amazon Web Services, Google Cloud, Microsoft Azure).

  • Experience leading technical teams or AI engineering squads, with exposure to AI governance, responsible AI, and enterprise compliance frameworks.

  • Ability to think strategically while remaining hands-on technically, drive execution across multiple AI initiatives, and deliver with minimal supervision.

  • Strong stakeholder influence, business communication, and presentation skills. Contributions to open-source projects, patents, conferences, or published research are highly valued.

About Us
Banglalink Digital Communications is one of Bangladesh’s leading telecom and digital service providers, committed to transforming the way people connect, communicate, and innovate. As a subsidiary of VEON, Banglalink combines global expertise with a deep understanding of local needs to deliver cutting-edge services to millions of customers across the country. Our Employer Value Proposition (EVP) is ‘Lead the Future’, and this is reflected in all levels of our organization. Our workplace is designed to inspire and empower individuals, creating an environment where ideas thrive, contributions are valued, and innovation flourishes. We encourage every team member to take initiative, explore new possibilities, and grow both personally and professionally in a fast-evolving digital landscape. At Banglalink, we are committed to foster a supportive and inclusive culture that celebrates diversity and encourages collaboration. We actively create opportunities for all individuals to succeed, while our learning initiatives and digital upskilling programs, ensure our people are equipped to excel in their careers and shape the future.

Banglalink is a place where innovation, agility, and understanding come together to create meaningful impact. Join us and be part of a team that’s reshape the future of connectivity and digital transformation.

Skills Required

  • Bachelor's or Master's in Computer Science, Applied Statistics, Business, or relevant field
  • 4-7 years experience in AI/ML engineering, software engineering, distributed systems, and enterprise AI platforms with production GenAI deployments
  • Strong expertise in Python and backend engineering, with ability to architect distributed systems and operationalize production-scale GenAI applications
  • Hands-on experience with LLM application development, prompt engineering frameworks, RAG architectures, AI agents and tool-calling systems, semantic search and embeddings, and hallucination mitigation
  • Experience with GenAI frameworks and tools such as LangChain, LlamaIndex, FastAPI, Docker, Kubernetes, MLflow, and CI/CD/DevOps workflows
  • Experience with AI infrastructure including GPU-based inference systems, open-source LLM deployment, fine-tuning techniques (LoRA/PEFT), vector databases, and distributed AI workloads
  • Hands-on familiarity with major cloud platforms: Amazon Web Services, Google Cloud, Microsoft Azure
  • Experience leading technical teams or AI engineering squads, with exposure to AI governance, responsible AI, and enterprise compliance frameworks
  • Ability to think strategically while remaining hands-on, driving execution across multiple AI initiatives with minimal supervision
  • Strong stakeholder influence, business communication, and presentation skills
  • Contributions to open-source projects, patents, conferences, or published research
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The Company
5,927 Employees
Year Founded: 2005

What We Do

Banglalink Digital Communications Ltd. is a leading digital operator in Bangladesh, launched in 2005 to make mobile telephony affordable for the masses. Now transitioning from a traditional mobile operator into a tech company, Banglalink aims to build a 'digital Bangladesh' by providing converged connectivity and digital services. It is a subsidiary of VEON and focuses on enhancing customer experience through digitalization.

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