AI Engineer – Generative AI & Intelligent Systems - 6 months contract - Remote
We are seeking a highly skilled and innovative AI Engineer. You will be responsible for designing, developing, and deploying cutting-edge AI solutions with a focus on generative AI, agent-based systems, and vector-aware architectures. This role is ideal for someone passionate about building intelligent systems using modern frameworks and tools.
Key Responsibilities
- Design and implement AI/ML pipelines using Python, PyTorch, and LangChain.
- Develop and deploy intelligent agents using Google Agent Development Kit (ADK).
- Architect and manage vector databases such as Pinecone, PostgreSQL with pgvector, and
- OpenSearch for semantic search and retrieval.
- Build and optimize GraphRAG pipelines for knowledge-intensive tasks.
- Engineer high-quality prompts for LLMs to ensure accurate and context-aware responses.
- Collaborate with cross-functional teams to integrate AI capabilities into production systems.
- Monitor and maintain deployed models, ensuring performance, scalability, and reliability.
- Stay up to date with the latest advancements in AI, LLMs, and agentic frameworks.
Required Qualifications
- Experience in AI/ML engineering with a strong focus on LLMs and generative AI.
- Proficiency in Python and deep learning frameworks like PyTorch.
- Hands-on experience with LangChain and Google ADK.
- Strong understanding of vector databases and semantic search.
- Experience with GraphRAG architectures and knowledge graph integration.
- Expertise in prompt engineering and LLM fine-tuning.
- Familiarity with MLOps practices and cloud platforms (GCP, AWS, or Azure).