LLM Engineer

Job Context:

Riseup Labs is looking for an LLM Engineer with expertise in NLP, STT, and TTS systems to design and optimize real-time conversational AI applications. You will work on building chatbots, voice assistants,
RAG systems, and generative AI apps

Job Responsibilities:

• Fine-tune and deploy LLMs (OpenAI, Anthropic, HuggingFace, Llama, Mistral, etc.) for real-world use cases.
• Build conversational AI systems with speech-to-text (Whisper, AWS
• Transcribe, Google STT) and text-to-speech (Azure TTS, ElevenLabs, Google TTS).
• Implement low-latency, real-time pipelines for voice and chatbot interactions.
• Design and optimize RAG (retrieval-augmented generation) with vector databases (Pinecone, FAISS, Weaviate, Milvus).
• Develop custom NLP modules (intent detection, summarization, translation, semantic search).
• Apply latency reduction techniques such as model quantization, caching, batching, and streaming inference.
• Collaborate with solution architects and backend engineers to integrate AI into web, mobile, and IoT applications.
• Monitor, test, and optimize model performance, cost, and response time.
• Stay updated on LLM, multimodal AI, and real-time voice AI research.

Educational Requirements:

• Bachelor’s/Master’s in Computer Science, AI/ML, or related field.

Additional Requirements:

• 3+ years of experience in NLP/ML, with at least 2+ year in LLM-based solutions.
• Strong programming skills in Python with PyTorch / TensorFlow.
• Hands-on experience with STT (Whisper, Deepgram, Vosk) and TTS (ElevenLabs, Coqui, Azure Speech, Google TTS).
• Experience in latency reduction (quantization, GPU optimization, distributed inference).
• Familiarity with LangChain, LlamaIndex, Rasa, or Botpress.
• Proficiency in cloud AI deployments (AWS Sagemaker, GCP Vertex AI, Azure ML).
• Knowledge of microservices, Docker, Kubernetes, and real-time streaming systems (Kafka, WebRTC, gRPC).

Nice to have:

• Experience with multimodal AI (speech + text + vision).
• Contributions to open-source STT/TTS or NLP projects.
• Background in edge AI for real-time, low-latency applications.
• Research experience in ASR (automatic speech recognition) or speech synthesis.

Workplace: 

• Uttara, Dhaka

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)
• Celebration of Events & Occasions
• Team Outing
• Training & Development by Organization Assigned Consultants
• Weekly 2 holidays (Sat & Sun)
• Paid Time Off 24 days (CL & SL)
• Maternity Leave with benefits (As per company's policy)
• Paternity Leave
• Public holidays as per Riseup Labs calendar

The Application Process:

• Telephone Round.
• Interview with the Tech Lead & Talent Acquisition Team.
• Final Interview with the HR Lead.
• Job Offer.