Hiring: AI Product Engineer (Applied AI + Software Development + LLM Integration)Location: RemoteExperience: 3-5+ yearsWe are looking for a hands-on AI Product Engineer to help accelerate our engineering productivity, automate workflows, and integrate cutting-edge AI capabilities into our product.This role is practical and implementation-focused—ideal for someone who loves building tools, automating processes, and shipping AI-powered features.⭐ What You’ll Work On1. 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 summaries5. 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 ForTechnical 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