About the job AI Engineer
Job Context:
Riseup Labs is seeking an experienced AI Engineer with strong hands-on expertise in building custom Large Language Models (LLMs), Natural Language Processing (NLP), and Voice AI system. The ideal candidate will design, develop, fine-tune, and deploy AI-powered solutions including conversational AI, speech-to-text, text-to-speech, domain-specific language models, and intelligent AI agent. The role also requires strong expertise in prompt engineering, custom RAG systems, tool calling, and performance optimization (latency, concurrency, and scalability).
Job Responsibilities:
• Design, build, and deploy custom LLM-based solutions
• Fine-tune and adapt open-source or proprietary LLMs for domain-specific use cases
• Develop and optimize NLP pipelines (text classification, entity extraction, summarization, intent detection, etc.)
• Build and integrate Voice AI systems (ASR, TTS, conversational voice agents)
• Design and implement custom Retrieval-Augmented Generation (RAG) pipelines
• Develop AI agents with tool calling and external system integration
• Optimize model performance, latency, concurrency, and cost efficiency
• Work with large datasets for training, evaluation, and inference
• Implement efficient prompting strategies and prompt structuring
• Integrate AI models with backend services, APIs, and microservices
• Collaborate with product, backend, and frontend teams
• Monitor, evaluate, and continuously improve model quality and reliability
• Ensure AI systems follow security, privacy, and responsible AI practices
• Participate in rapid prototyping and vibe coding for fast AI experimentation
Educational Requirements:
- B.Sc in Computer Science and Engineering from any reputed public or private university.
Additional Requirements:
- 3+ years of experience in AI/ML engineering
- Strong experience with custom LLM development or fine-tuning
- Solid background in NLP techniques and frameworks
- Hands-on experience with Voice AI (Speech-to-Text, Text-to-Speech)
- Proficiency in Python
- Experience with frameworks such as PyTorch, TensorFlow, Hugging Face
- Experience with vector databases and embeddings (FAISS, Pinecone, Weaviate, etc.)
- Experience with REST/gRPC APIs and model deployment
- Strong understanding of prompt engineering, RAG pipelines, and tool calling
- Experience optimizing concurrency, scalability, and low-latency AI inference systems
- Experience building custom RAG architectures for production systems
- Strong problem-solving and communication skills
Nice to Have:
- Experience with multi-modal AI (text + voice)
- Knowledge of LangChain / LlamaIndex
- Experience building AI agents and autonomous workflows
- Background in conversational AI or call-center automation
- Experience with edge or real-time AI inference
- Experience with MLOps (model monitoring, ML CI/CD)
- Experience building high-concurrency AI systems for large-scale applications
Workplace:
- Uttara, Dhaka (On-Site)
Work-Time:
- 09.00 AM -06.00 PM
Salary:
- Negotiable (Based on experience and skills)
Compensation & Other Benefits:
- Annual Performance Evaluation and Increment
- Festival Bonus (2)
- Group Life and Health Insurance
- Full Subsidize Lunch
- Annual Retreats
- Wedding Bonus (As per company’s policy)
- Weekly 2 holidays (Saturday & Sunday)
- Celebration of Events & Occasions
- Training & Development by Organization Assigned Consultants
- Paid Time Off 24 days (CL & SL)
- Maternity Leave with benefit (As per company's policy)
- Paternity Leave
- Public holidays as per Riseup Labs calendar
The Application Process:
- Telephone Round.
- Interview with the Technology Team Lead & Talent Acquisition Team.
- Final Interview with the HR Lead.
- Job Offer.
N.B.: Only shortlisted candidates will be communicated in the recruitment process.