Senior Ai Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
We are seeking a Senior AI Engineer to lead the design development and optimization of advanced AI systems. The ideal candidate has proven experience in LLM fine-tuning custom model training and RAG (Retrieval-Augmented Generation) with a strong foundation in machine learning NLP and multimodal AI (speech text and vision).
You will work closely with our R&D team to deliver production-grade AI solutions across projects such as voice AI agents translation automation localization platforms and real-time inference systems. The role also involves mentoring junior engineers and collaborating with backend and DevOps teams to ensure performance scalability and deployment reliability.
Job Description :
- Design develop and deploy AI agents capable of performing autonomous tasks.
- Build and fine-tune solutions using LLMs (e.g. OpenAI Gemini Claude Mistral LLaMA).
- Proficient in Retrieval-Augmented Generation (RAG) systems and experienced with vector databases leveraging these technologies to enhance AI model performance and scalability
- Implement communication between agents using agent orchestration frameworks.
- Automate workflows for sales project management accounting and localization.
- Collaborate with backend and frontend teams to integrate AI services.
- Conduct prompt engineering and evaluation of model outputs.
- Ensure the scalability and performance of AI systems in production environments.
Requirements:
7 years of experience in AI NLP or ML system development.
Proven expertise in LLM training and fine-tuning (GPT LLaMA Mistral Falcon etc.).
Hands-on experience with RAG pipelines and vector databases (FAISS Pinecone Qdrant Weaviate).
Strong Python skills and proficiency in PyTorch or TensorFlow.
Experience building and deploying custom AI models for text or speech.
Knowledge of transformer architectures tokenization and quantization.
Practical use of OpenAI API Hugging Face and LangChain.
Experience integrating models via FastAPI Flask or NestJS microservices.
Familiarity with MLOps Docker CI/CD and cloud environments (AWS/GCP/Azure).
Strong foundation in deep learning statistics and data preprocessing.
Excellent communication and leadership skills to guide junior AI engineers.
Nice to Have:
Experience with speech models (Deepgram Whisper Piper).
Familiarity with Twilio Asterisk or WebSocket-based AI streaming.
Knowledge of localization automation and translation quality scoring.
Understanding of LangGraph CrewAI or multi-agent frameworks.
Exposure to multi-GPU training and on-premise optimization.
Key Skills
- APIs
- C/C++
- Computer Graphics
- Go
- React
- Redux
- Node.js
- AWS
- Library Services
- Assembly
- GraphQL
- High Voltage
