The Engineering Team designs, builds, and maintains the systems that power Tandems' AI-enabled platform, which reimagines how financial advice is delivered, how institutions operate, and how advisors help clients succeed.

Responsibilities :

- Client-facing applications that enable seamless onboarding, personalised advice, and digital collaboration.

- Algorithms and investment systems that support smarter portfolio management and better financial outcomes.

- AI-powered tools that give advisors intelligent insights, streamline workflows, and enhance client engagement across our products : TandemsInvest, TandemsMeet, and TandemsGrow.

Requirements :

- 3+ years of software engineering experience with production systems.

- Strong proficiency in Python and hands-on experience with LLM application frameworks (LangChain, LlamaIndex, Semantic Kernel, or DSPy).

- Proven experience building agent workflows and orchestrating multi-step AI processes.

- Deep understanding of foundation model APIs (OpenAI, Anthropic, Google AI, AWS Bedrock, Azure OpenAI, or open-source models via Replicate/Hugging Face).

- Experience with prompt engineering, including techniques like few-shot learning, chain-of-thought, and prompt chaining.

- Hands-on experience implementing RAG (Retrieval-Augmented Generation) systems with vector databases.

Agent Development Experience :

- Building autonomous and semi-autonomous agent systems that can plan, use tools, and execute multi-step tasks.

- Implementing tool-calling and function-calling patterns with LLMs.

- Creating agent memory systems (conversation history, long-term memory, knowledge bases).

- Orchestrating multi-agent systems or agent handoffs.

- Experience with agent evaluation, debugging, and observability (using tools like LangSmith, Weights & Biases, or custom solutions).

Foundation Model Integration :

- Managing different foundation models for specific tasks (routing between models based on complexity/cost/speed).

- Implementing streaming responses and real-time user interactions.

- Handling context window management and conversation pruning strategies.