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Open nowFirst seen 33 hours ago

AI Engineer

Riseup Labs190 open roles

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  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 33 hours ago

The posting

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: (Applicable for Bangladeshi Employee Only)

  • 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.

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