AI Engineer
1 week ago
Key Responsibilities:
- Design, develop, and deploy agentic AI systems capable of autonomous decision-making, reasoning, and executing multi-step tasks.
- Build and fine-tune LLM-powered applications using frameworks like LangChain, LlamaIndex, or Semantic Kernel.
- Integrate LLMs into real-world workflows via APIs and tools (e.g., OpenAI, Hugging Face, Anthropic, Mistral).
- Architect and implement scalable pipelines for model orchestration, retrieval-augmented generation (RAG), and memory/long-context strategies.
- Develop robust interfaces between LLM agents and external tools, APIs, and databases.
- Experiment with prompt engineering, few-shot learning, and model evaluation techniques to optimise agent behaviour.
- Collaborate with cross-functional teams to understand business use cases and deliver end-to-end solutions.
Required Skills & Experience:
- 3+ years of experience in AI/ML, with a strong track record of freelance or consulting work.
- Proven experience with LLMs, prompt engineering, and agentic frameworks.
- Proficient in Python and familiar with modern LLM toolchains (e.g., LangChain, OpenAI Function Calling, ReAct, AutoGPT, AgentOps).
- Experience building autonomous or semi-autonomous agents capable of reasoning and planning.
- Solid understanding of vector stores (e.g., Pinecone, FAISS, Weaviate) and RAG pipelines.
- Knowledge of cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).
- Ability to work independently, manage clients, and deliver on fast-paced timelines.
Job Types: Full-time, Permanent, Contractual / Temporary
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