Description:
We are seeking a skilled and passionate AI Engineer with 3 to 4 years of professional experience to join our team. The ideal candidate will have a strong foundation in machine learning, deep learning, and data science, along with hands-on experience in developing and deploying AI models in real-world applications.
Key Responsibilities:
- LLM Implementation : Integrate and fine-tune LLMs via APIs (e.g., OpenAI, Anthropic) and deploy lightweight inference engines.
- AI Workflow Development : Build and optimize pipelines using LangChain, LlamaIndex , or crewAI for agent-based systems.
- Prompt Engineering : Collaborate with domain experts to design and test advanced prompting strategies.
- Vector Database Integration : Deploy and manage embeddings pipelines with Pinecone , Weaviate , or FAISS for RAG systems.
- MLOps Execution : Automate model deployment, monitoring, and versioning using tools like Docker, Kubernetes, and MLflow.
- No-Code Prototyping : Use platforms like n8n to rapidly test and iterate AI solutions.
Requirements:
- 3–4 years of hands-on experience in AI/ML or related roles.
- Python & ML frameworks (TensorFlow, PyTorch)
- ML algorithms, preprocessing & evaluation
- Model deployment & cloud platforms
- Databases, Git, Docker, APIs
- Experience with NLP, CV, or LLMs
- Strong problem-solving & teamwork skills