Job Opportunities API

Robots & Pencils is seeking an AI Engineer to design, build, and deploy production-grade AI systems that deliver measurable business value.   This is a hands-on engineering role focused on implementation and delivery. You will contribute to scalable AI systems and ML pipelines, working within established architectural direction while collaborating closely with senior engineers, product managers, and cross-functional teams.   You will be expected to deliver independently on well-defined features, contribute to system design discussions, and maintain high standards for reliability, performance, and maintainability.     Key Responsibilities   AI System Implementation   Implement machine learning models, inference services, and supporting APIs   Contribute to the development of training, evaluation, and deployment workflows   Build data ingestion and feature engineering components aligned to defined architecture   Ensure reliability, performance, and stability of AI services in production environments     AI  Pipelines & Infrastructure   Contribute to the development and orchestration of AI pipelines and agentic workflows.   Support LLMOps processes for automated model deployment, versioning, and prompt management.   Implement monitoring and observability to track token usage, model drift, and hallucinations.   Debug and resolve complex issues across LLM layers, data ingestion, and cloud infrastructure.     Research-to-Production Support   Collaborate with senior engineers to operationalize research prototypes   Implement evaluation metrics and validation processes   Support rollout and iteration of AI features based on performance data     Collaboration & Delivery   Work closely with product and engineering teams to implement AI-driven features   Participate in sprint planning, estimation, and technical discussions   Contribute to documentation and shared engineering standards   Communicate progress, blockers, and risks clearly     Required Skills & Qualifications   3–5 years of experience in AI/ML engineering or applied machine learning   Experience building and deploying ML models in production environments   Strong software engineering background (Python or similar)   Familiarity with distributed systems and scalable data processing   Experience contributing to ML pipelines and automated deployment workflows   Working knowledge of MLOps concepts (model versioning, monitoring, CI/CD)   Ability to debug issues across model, application, and infrastructure layers   Strong problem-solving skills and attention to detail   Effective communication skills within technical teams     Nice to Have   Exposure to generative AI or LLM-based systems   Familiarity with retrieval-augmented generation (RAG) architectures   Experience working with cloud-based AI platforms   Exposure to infrastructure-as-code or DevOps practices   Experience working in consulting or delivery-focused environments   Hands-on AWS experience supporting cloud-native or AI/ML production systems.   AWS certifications (Associate or Professional level) or equivalent practical AWS expertise.     Personal Competencies   Execution-Focused  – Delivers high-quality implementations within established architecture   Engineering Discipline  – Writes relia