Hiring: AI Product Engineer (Applied AI + Software Development + LLM Integration)Location:Remote Experience:3-5+ yearsWe are looking for ahands-on AI Product Engineerto help accelerate our engineering productivity, automate workflows, and integrate cutting-edge AI capabilities into our product. This role ispractical and implementation-focused —ideal for someone who loves building tools, automating processes, and shipping AI-powered features. ⭐What You’ll Work On 1. Developer Productivity & Internal AI Tools Build internal tools like documentation generators, test generators, and code review assistants. Implement automated code-quality checks powered by LLMs. Create AI onboarding assistants to help new developers understand the codebase. Build internal chatbots to answer technical questions about architecture and logic. 2. QA & Testing Automation Develop AI-driven systems to auto-generate unit and integration tests. Implement AI tools for bug root-cause analysis and reproduction steps. Automate regression testing and boost QA coverage. 3. AI Features for the Product Integrate LLMs and ML features into customer-facing applications. Build APIs for summarization, search, personalization, recommendations, etc. Work with vector DBs (Pinecone, Weaviate, Chroma) and RAG pipelines. Deploy, monitor, and optimize AI features in production. 4. Business & Workflow Automation Build AI workflows for: Email summarization Invoice processing Report generation HR/Scrum/Meeting summaries 5. Architecture & Technical Leadership Evaluate new AI technologies and propose implementation strategies. Build rapid prototypes and iterate with stakeholders. Work closely with backend teams to ensure scalability, performance, and security. Maintain observability, logging, and reliability of AI systems. What We’re Looking For Technical Skills Strong software engineering background (Python, Node.js, or Java). Hands-on experience integrating LLM APIs (OpenAI, Anthropic, Azure, etc.). Knowledge of embeddings, vector DBs, RAG pipelines. Familiarity with ML frameworks (PyTorch/TensorFlow is a plus). Experience with Docker, cloud platforms (AWS/Azure/GCP), Git, CI/CD, and testing frameworks. AI Skills Prompt engineering and LLM tooling. Ability to fine-tune or adapt models using internal data. Rapid prototyping mindset. Understanding of AI safety, bias, and evaluation practices. Soft Skills Strong communication and collaboration with dev teams. Ability to convert business needs into technical solutions. Ownership mindset with fast execution. Nice-to-Have Experience with Lang Chain, Llama Index, or similar framewornhks. Experience building internal developer platforms. Understanding of front-end frameworks for AI UI components. Background in MLOps or data engineering.
Job Title
Artificial Intelligence Engineer