Trainee AI/ML Engineer
Summary
Build and deploy AI systems using semantic search, RAG, and multi-agent workflows with LLMs and NLP/NLU techniques in Python and cloud platforms.
Avanceon is looking for a passionate AI/ML Engineer to design and implement next‑generation intelligent systems leveraging semantic search, Retrieval‑Augmented Generation (RAG), and multi‑agent workflows.
This role offers the opportunity to work on cutting‑edge AI solutions in NLP/NLU, LLMs, and applied AI, driving real business impact and shaping the future of intelligent automation.
Key Responsibilities:
- Build and deploy semantic search pipelines, RAG systems, and conversational AI solutions.
- Design and integrate multi‑agent workflows for automation and intelligent decision‑making.
- Fine‑tune and optimize LLMs and NLP models for domain‑specific use cases.
- Deliver end‑to‑end AI applications, from data ingestion and model training to production deployment.
- Stay current with Generative AI advancements and apply them to solve real‑world business problems.
Technical Expertise:
- Proven experience with LLMs and NLP/NLU techniques.
- Hands‑on expertise in semantic search and RAG implementation.
- Familiarity with multi‑agent frameworks such as LangChain and LlamaIndex.
- Strong proficiency in Python, ML frameworks (PyTorch, TensorFlow), and vector databases.
- Exposure to cloud platforms including AWS, Azure, or GCP, along with MLOps best practices.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
- Minimum 1 year of experience in AI/ML solution development.
- Solid foundation in software engineering principles and best practices.
Why Join Avanceon?
- Work on high‑impact AI solutions with global exposure.
- Be part of a fast‑growing AI innovation journey.
- Collaborative, innovative, and growth‑oriented work culture.
- Continuous learning opportunities with access to the latest AI/ML tools and resources.