AI Solutions Engineer
You'll design, build, and deploy production-grade AI agents for our clients — voice receptionists, lead qualification bots, customer support AI, document intelligence systems, and end-to-end workflow automation. You work directly with LLMs, build RAG pipelines, integrate third-party APIs, and own delivery from prototype to live. This is a hands-on engineering role for someone who wants to ship real AI products that businesses rely on daily.
What you'll do
- Build and deploy AI agents using LLMs (OpenAI, Anthropic, Gemini) and agentic frameworks
- Design and implement RAG (Retrieval-Augmented Generation) pipelines for document intelligence
- Integrate AI systems with CRM, ERP, WhatsApp, telephony, and custom client APIs
- Build voice AI solutions for inbound call handling and appointment booking
- Develop workflow automation that eliminates manual handoffs between business systems
- Collaborate directly with clients to define requirements and demo solutions
- Write clean, documented code and maintain production deployments
- Contribute to internal tooling and reusable AI component library
What we're looking for
- 2+ years of software or AI/ML engineering experience in production environments
- Strong Python and/or Node.js — you write code that actually runs in production
- Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) and prompt engineering
- Familiarity with LangChain, LlamaIndex, or similar agentic frameworks (or ability to build from scratch)
- Experience with vector databases (Pinecone, Weaviate, pgvector, or equivalent)
- REST API design and third-party integration experience
- Strong written English — you can communicate technical concepts to non-technical stakeholders
- Bonus: experience with voice AI, telephony APIs (Twilio, VAPI), or multilingual NLP