Note: The job is a remote job and is open to candidates in USA. Taxwell is seeking a Principal AI Engineer to lead the design, development, and deployment of AI-powered systems across the company. The role builds customer-facing AI capabilities, internal AI platforms and automation, and new AI-native products, while translating AI technologies into measurable business outcomes.
Responsibilities
- Design and build AI-powered applications for internal users and customers
- Architect and deploy agentic and multi-agent systems that automate workflows and solve complex business problems
- Build and optimize retrieval-augmented generation (RAG) systems using proprietary data and knowledge sources
- Fine-tune, adapt, and evaluate foundation models for domain-specific use cases
- Develop shared AI platforms, services, and tooling that enable teams to build AI-powered solutions efficiently
- Evaluate and integrate commercial, open-weight, and frontier AI models
- Partner with Product, Engineering, Operations, Security, and business stakeholders to identify and deliver high-impact AI initiatives
- Establish best practices for AI architecture, evaluation, observability, governance, and reliability
- Measure system effectiveness through experimentation, telemetry, and user feedback
Skills
- 8+ years of experience in software engineering, ML, NLP, applied AI, Data Science, or related disciplines
- Proven experience designing, deploying, and operating production AI systems
- Strong hands-on experience with LLMs, RAG, agent orchestration, and AI-powered applications
- Experience designing and deploying agentic and multi-agent systems
- Experience fine-tuning, adapting, or evaluating foundation models using techniques such as SFT, LoRA, QLoRA, reinforcement learning approaches, or other parameter-efficient methods
- Strong understanding of model behavior, embeddings, retrieval systems, evaluation frameworks, and AI system performance
- Strong Python development skills
- Experience with vector databases and semantic retrieval architectures
- Experience deploying cloud-native applications on AWS, Azure, or GCP
- Strong systems design and architectural skills
- Background in machine learning, NLP, information retrieval, applied AI, or data science
- Experience with MCP (Model Context Protocol), tool integration frameworks, and agent communication architectures
- Experience with LangGraph, LangChain, ADK, CrewAI, AutoGen, or similar frameworks
- Experience building AI platforms, copilots, or workflow automation solutions
- Experience developing customer-facing AI products
- Experience building vertical AI applications or domain-specific AI products
- Experience in regulated industries such as fintech, tax, healthcare, or financial services
Benefits
- A supportive, open, and inclusive atmosphere and a team that values your contributions.
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