Antier Solutions - AI Engineer

About Antier Solutions :

Antier Solutions is a global blockchain development company delivering innovative decentralized solutions and emerging technology services across industries. As we strengthen our AI division, we are focused on building intelligent, scalable, and enterprise-grade AI systems that seamlessly integrate with Web3, FinTech, and other enterprise ecosystems.

Role Overview :

We are looking for an AI Engineer who will contribute to the development and deployment of advanced AI-driven systems. The ideal candidate will work closely with senior architects to implement end-to-end AI solutions, integrate large language models (LLMs), build intelligent automation workflows, and develop scalable AI microservices.

This role is hands-on and ideal for someone with strong ML/NLP fundamentals, practical development experience, and a passion for building production-grade AI applications.

Key Responsibilities :

- Develop and implement machine learning, NLP, and generative AI models aligned with project objectives.

- Assist in building LLM-based applications, including fine-tuning, prompt engineering, and RAG pipelines.

- Contribute to the development of intelligent automation workflows and multi-step reasoning systems.

- Build backend services and AI microservices using Python (FastAPI/Flask).

- Implement conversational AI modules, recommendation engines, or predictive models.

- Work on vector embeddings, vector databases, and retrieval pipelines.

- Support AI model lifecycle activities, including training, evaluation, deployment, and monitoring.

- Collaborate with senior engineers, blockchain teams, and product teams to integrate AI into Web3/enterprise systems.

- Participate in evaluating AI tools, frameworks, and cloud services.

- Maintain proper documentation, testing, and version control for AI components.

Required Skills & Expertise :

Core AI & ML :

- Solid understanding of Machine Learning, Deep Learning, NLP, and applied AI.

- Experience working with LLMs : OpenAI, open-source models, embeddings, and prompt engineering.

- Familiarity with autonomous agent workflows or task orchestration (added advantage).

- Hands-on experience with AI frameworks: PyTorch, TensorFlow, Transformers, LangChain, etc.

Data Engineering :

- Experience working with large datasets, preprocessing, and ETL processes.

- Familiarity with vector databases, knowledge graphs, or search pipelines.

Good to Have :

- Experience integrating AI within blockchain/Web3 ecosystems.

- Exposure to multi-agent or orchestrated AI systems.

- Understanding of AI governance, security, or responsible AI.

- Experience working on enterprise AI or automation projects.

Qualifications :

- Bachelors or Masters degree in CS, AI, Data Science, or related fields.

- 2- 5 years of experience in AI/ML engineering roles.