Software Engineer (AI)

Job Description

Title: Software Engineer (AI)

Company Name: Orange Business Development Ltd. (Orangebd)

Vacancy: 5

Age: 24 to 32 years

Job Location: Dhaka (DOHS Baridhara)

Salary: Tk. 40000 - 80000 (Monthly)

Experience:

• 2 to 4 years
• The applicants should have experience in the following business area(s): Software Company,IT Enabled Service,Artificial Intelligence (AI) Startup
• Freshers are also encouraged to apply.

• Bachelor of Science (BSc) in Computer Science & Engineering

• 2 to 4 years
• The applicants should have experience in the following business area(s): Software Company,IT Enabled Service,Artificial Intelligence (AI) Startup
• Freshers are also encouraged to apply.

• Age 24 to 32 years
• Freshers are also encouraged to apply.

Must-Have Requirements:

• Minimum 2 years of professional experience in AI/ML or data science roles focused on building and deploying AI solutions

• Proficiency in Python with a solid understanding of software engineering principles, version control (Git), and reproducibility best practices

• Practical experience with LLM customization/fine-tuning, Vector search engines and embeddings, RAG system architecture, and at least one GenAI speech or multimodal application.

• Familiarity with MLOps tools, cloud AI services, and inference pipelines

• Strong grasp of GenAI/ML fundamentals, including transformers, attention mechanisms, prompt injection risks, and safety mitigation

• Ability to communicate technical work clearly and concisely, both in code and documentation

Submission Requirement:

• You must share links to at least 3 public GenAI GitHub repositories that meet the following:

• Reproducibility: Each repository must contain a detailed README.md with a clear project objective, steps to set up the environment (requirements.txt, Docker, or conda), sample inputs/outputs, and instructions to run key pipelines or inference endpoints

• Implementation Depth: At least one project should showcase LLM fine-tuning or adaptation, at least one should involve RAG or search-augmented generation, and the third can be voice/speech GenAI, agentic AI, or any novel use case (code generation, image captioning)

• Commit History: Commits must reflect meaningful, iterative development (no single-dump codebases) with clear commit messages following best practices

• ML Model Deployment: At least one ML Model Deployment with Hugging Face (1 Repository or Hugging Face Space)

About the Role: We are seeking a highly motivated and technically skilled AI Engineer with at least 2 years of hands-on experience to join our GenAI engineering team. The ideal candidate will have a strong foundation in machine learning, software engineering, and deployment best practices, paired with demonstrated expertise in building real-world Generative AI solutions.

 Responsibilities:

• Design, build, and scale production-grade AI systems including LLM fine-tuning (LoRA, QLoRA, PEFT), RAG pipelines (LlamaIndex, AutoGen), VectorDB integration (FAISS, Chroma, Weaviate), and Speech AI applications using frameworks like DeepSpeech, Whisper, or ESPnet

• Develop and apply robust prompt engineering strategies to improve model accuracy, relevance, and safety

• Use frameworks such as PyTorch, TensorFlow, and Hugging Face to train and deploy custom models

• Implement guardrails, content filters, and monitoring pipelines for LLM safety and hallucination prevention

• Collaborate on cross-functional initiatives and contribute to the end-to-end ML/GenAI lifecycle

• Work with cloud-native AI tools on AWS, GCP, or Azure and deploy services using CI/CD and containerization (Docker/Kubernetes)

• Keep up with the evolving GenAI landscape, open-source innovations, and research trends

• Tour allowance,Weekly 2 holidays
• Lunch Facilities: Partially Subsidize
• Salary Review: Yearly
• Festival Bonus: 2

• Mobile Bill (If allocated)