AI Platform Engineer

12 hours, 25 minutes ago
Full-time
Mid Level
Software Development
Tandems

Tandems

Tandems, formerly known as SigFig, is an AI-native wealth operating system provider established in 2006. The company rebranded in 2025 to focus on verticalized AI tools that automate repetitive tasks for financial institutions, wealth management firms, and advisors. Tandems manages over $60 billion in assets across 2 million accounts and supports 6,000 advisors. The company offers a modular platform called WealthOS, which integrates AI with legacy systems. It emphasizes trust, configurability, accuracy, and security, ensuring compliance with regulations. Tandems provides three core AI solutions: TandemsMeet for enhancing sales and meeting effectiveness, TandemsGrow for portfolio analysis and client engagement, and TandemsInvest for automated investment management. These tools streamline workflows and improve efficiency in banking, wealth, and insurance sectors.

information technology & services
51-200
Founded 2006
$113M raised

Description

  • Design and build core AI platform services for advisor-facing features such as intelligent insights, meeting summaries, and next-step recommendations.
  • Develop and maintain retrieval-augmented generation (RAG) and semantic search pipelines over financial data.
  • Integrate foundation models into scalable microservices and APIs.
  • Create and manage prompt orchestration and versioning frameworks for consistent AI responses across products.
  • Develop evaluation, monitoring, and observability systems to ensure AI quality, compliance, and performance in production.
  • Optimize inference performance, latency, and cost through model routing, caching, and fine-tuning strategies.
  • Collaborate with product teams to deliver new AI capabilities aligned with financial domain standards and regulations.
  • Stay current with LLM and agentic technology advancements and apply them to advisor workflows.
  • Build autonomous and semi-autonomous agent systems that can plan, use tools, and execute multi-step tasks.
  • Implement tool-calling, function-calling, memory, and multi-agent workflows for LLM-based systems.

Requirements

  • 4+ years of software engineering experience with production systems.
  • Strong proficiency in Python.
  • Hands-on experience with LLM application frameworks such as LangChain, LlamaIndex, Semantic Kernel, or DSPy.
  • Proven experience building agent workflows and orchestrating multi-step AI processes.
  • Deep understanding of foundation model APIs such as OpenAI, Anthropic, Google AI, AWS Bedrock, Azure OpenAI, or open-source models via Replicate/Hugging Face.
  • Experience with prompt engineering techniques including few-shot learning, chain-of-thought, and prompt chaining.
  • Hands-on experience implementing RAG systems with vector databases.
  • Experience with agent evaluation, debugging, and observability using tools like LangSmith, Weights & Biases, or custom solutions.
  • Experience managing model routing, streaming responses, context window management, fallback handling, and rate limit/cost optimization.
  • Remote-first work environment.
  • Location: Noida, Uttar Pradesh, India.

Benefits

  • Competitive tax-friendly compensation.
  • Liberal leave policy / flexible PTO.
  • Medical cover for the family, including parents.
  • Quarterly wellness benefit.
  • WFH allowance.
  • Mobile and internet subsidy.
  • Employee referral program.
  • Employee recognition program.

Interested in this position?

Apply directly on the company website

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