• Owns the technical aspect of a domain specific area. • Supervises, coordinates, and reviews work. • Estimates personnel needs and schedules. • Assigns and reviews work to meet completion date. • Evaluate performance, resolve complaints, and make recommendations. • Defines, plans and measures success metrics. • Removes technical and personnel hurdles for team to succeed. • Works with higher-level staff to set expectations and coordinate on work to be delivered.

• Lead privacy engineering initiatives at DuckDuckGo • Own high-complexity privacy projects from definition to delivery • Evolve privacy triage and review processes • Build automation to reduce engineering toil • Grow the next generation of privacy engineers • Contribute to privacy strategy across the company

Role Description Software Mind is building a private, tenant-isolated AI assistant for the real estate title and settlement industry. The platform is a retrieval-first (RAG) system that ingests historical email, documents, and structured metadata into a per-tenant vector index, and serves grounded, cited, expert-weighted answers through a chat-style Q&A interface with single sign-on and full audit logging. The platform is AWS-native with a Python/FastAPI backend, Vue.js frontend, OpenSearch/Pinecone vector store, and OpenAI/Anthropic/Bedrock as LLM provider. You will join a senior, cross-functional LATAM-based team where hands-on AI delivery experience not just familiarity is the baseline expectation. You are the technical delivery lead, the bridge between architectural intent and day-to-day engineering execution. You own code quality, technical decisions within the team, and the delivery of the core AI Extraction Gateway (Simple and Complex RAG). You are hands-on: coding, reviewing, and unblocking across the Python backend and retrieval layers. Responsibilities - Lead hands-on development of the AI Extraction Gateway, progressing from Simple RAG to Complex RAG - Implement and tune the expert-weighted (SME) retrieval layer and structured result validation - Own confidence score calibration; collaborate with the BA on accuracy rubrics and test evidence - Drive technical delivery cadence: sprint planning, code reviews, technical risk identification, and team unblocking - Ensure architectural patterns are implemented consistently across the codebase - Collaborate with the Data Engineer on ingestion pipeline integration points and vector store schema - Implement and evolve the query orchestration layer (Python/FastAPI, AWS Lambda/ECS) - Support the QA Automation Engineer in designing the validation harness for RAG outputs - Maintain development observability: structured logging, CloudWatch dashboards, X-Ray tracing Qualifications - +90% English written and oral (at least B2 level) with excellent communication skills - 6+ years in software development; minimum 2 years in a tech lead or senior engineering lead capacity - Strong Python development skills; FastAPI or equivalent async Python framework required - Hands-on AWS experience: ECS and/or Lambda, API Gateway, DynamoDB, S3, CloudWatch, X-Ray - Experience with vector databases OpenSearch, Pinecone, Weaviate, or equivalent - Solid understanding of API design, service decomposition, and clean backend architecture - AI Experience (Required Not Optional) - Delivered at least one production RAG, semantic search, or LLM-integrated application end-to-end not a prototype or internal tool - Practical experience integrating with LLM provider APIs (OpenAI, Anthropic, or Amazon Bedrock) in a production or enterprise configuration - Working knowledge of chunking strategies, embedding models, retrieval ranking, and prompt engineering in a production context - Experience with confidence scoring, retrieval evaluation, or hallucination mitigation approaches in a deployed system Nice-to-Have - Experience with LangChain, LlamaIndex, or similar LLM orchestration frameworks - Familiarity with OCR pipelines and document extraction tooling (AWS Textract, Tesseract, or equivalent) - Exposure to multi-tenant data isolation patterns and tenant-scoped encryption key management

Role Description A Team Leader is responsible for all the work of a team and the spokesperson for everyone in it. They are expected to manage the team dynamics and always bring the best in everyone. A team leader is not expected to be the best in a team but rather help others become the best version there is and gear the team towards optimised execution. Key Responsibilities: - Managing a small product team of 3-5 engineers (backend and frontend). - 30% of the time spent doing management work. Outside of that actively participates in product development in their team. - Being involved in hiring processes for their own team and potentially help out their peers. - Responsible for the onboarding process of new engineers. - Manage team dynamics and bring out the best in team members. - Giving continuous and constructive feedback. - Helping the team grow continuously as a group and responsible for each direct report’s career. - Providing guidance and coaching to the team. - Redesign how engineering work ships with autonomous agents as the default execution layer. - Propose and operationalize agentic workflows end-to-end (spec → plan → execute → verify) to deliver outcomes faster. - Build reusable agentic workflows and primitives in the codebase. - Use verification loops (tests, checks, evals, guardrails) to ensure results are correct, secure, reliable, and scalable. Qualifications - Managed an engineering team of at least 2 people. - Extensive experience with Backend (Elixir/Phoenix or Ruby or functional programming). - Commitment to promoting all of Remote's values within the team and the greater organisation. - Strong engineering fundamentals and a track record of shipping production systems that are secure, reliable, and scalable. - Practical experience designing or adopting agentic/automation workflows (or comparable systems) and improving them through iteration. - Ability to think in systems: define specs clearly, break down plans, instrument verification, and close the loop on quality. - Solid communication skills. - Solid knowledge of engineering and development principles and best practices. - Proven organizational skills with attention to detail. - Focused on efficient processes with a kind, people-first approach. - Ability to inspire others and instill confidence. - Good understanding of team dynamics. - Ambitious and intentional about diversity, equality, and inclusion. - Demonstrates strong automation and AI capabilities and AI fluency. Requirements - You'll report to: Engineering Manager - Direct reports: 2-5 Engineers - Team: Engineering - Location: Anywhere in the world - Start date: As soon as possible Benefits - Work from anywhere - Flexible paid time off - Flexible working hours (async) - 16 weeks paid parental leave - Mental health support services - Stock options - Learning budget - Home office budget & IT equipment - Budget for local in-person social events or co-working spaces