AI Engineer
Build AI-powered tools and insights
Design and productionize LLM-powered services, build RAG pipelines, and develop Python services to elevate recruiting strategy and client delivery. Collaborate with teams to discover opportunities and guide adoption across the business.
Why This Role?
Collaborate closely with the Recruiting Strategy Manager and Director of Recruiting Services
Key Responsibilities
- Design and productionize LLM-powered services
- Build and evolve RAG pipelines
- Develop Python services and REST APIs to expose AI capabilities
- Select, fine-tune, and/or distill models and implement prompt engineering
Requirements
- 5+ years professional software engineering experience
- 3+ years with Python and FastAPI building backend services and APIs
- Practical experience with LLM stacks and inference tooling
- Experience with RAG and vector databases
Required Skills
Keywords
View Original Description from 4dayweek.io
Original description from 4dayweek.io
This is a remote position. **About Nexton:** We’re looking for a highly autonomous, driven **AI Engineer** to help build Nexton’s AI Research & Applications practice. This role blends applied AI research with hands-on technical consulting: you’ll turn market and talent data into AI-powered tools, insights, and presentations that elevate our recruiting strategy and client delivery. You’ll partner closely with the Recruiting Strategy Manager and Director of Recruiting Services, shaping the research roadmap and shipping production-ready solutions. You’ll thrive in a fast-paced, dynamic environment—digging into market nuances, modeling effective selling strategies, and packaging your findings into high-impact demos and executive-ready narratives. Day to day, you’ll collaborate with the Revenue Team (Client Partners, Customer Success, Account Executives), Customer Operations, and the Recruiting Team to discover opportunities, prototype AI features, and guide adoption across the business. **Responsibilities:** - Design, prototype, and productionize LLM-powered services (chat, agents, summarization, extraction, routing, classification). - Build and evolve RAG pipelines: document ingestion, chunking, embeddings, vector search, retrieval strategies, and evaluation. - Develop Python services and REST APIs to expose AI capabilities; integrate with internal and third-party systems. - Select, fine-tune, and/or distill models (open and closed) and implement prompt engineering, tooling, and guardrails. - Collaborate in Agile ceremonies (Daily, Retro, etc.), participate in design reviews, code reviews, and incident postmortems. - Be hands-on with the team to ensure high quality, reliability, security, and privacy in data and model usage. #### Requirements - 5+ years professional software engineering experience. - 3+ years with Python and FastAPI building backend services and APIs. - 6 months of Practical experience with LLM stacks: OpenAI/Anthropic/Gemini APIs, or open-source models (e.g., Llama, Mistral) and inference tooling. - Experience with RAG and vector databases (e.g., PostgreSQL+pgvector, Pinecone, Redis). - Solid knowledge of prompt design, evaluation, and safety/guardrails - Proficiency with Docker, Git, and Agile methodologies - Fluency in Spanish. - Intermediate English (B1–B2). - Experience working with US based companies. - Strong organizational skills and attention to detail. **Nice to have:** - 2+ years applying ML/NLP in production (LLMs, transformers, embeddings) with PyTorch or TensorFlow. - Experience in a high-growth startup or tech environment. - Presentation skills. **What We Value** At Nexton our values shape how we work, collaborate, and grow together. If this sounds like you, we’d love to have you on the team! - **We drive efficiency through data** – We make informed decisions, optimize resources, and continuously improve how we work. - **We succeed when our customers succeed** – Their success is our success. We move fast, adapt, and go the extra mile to exceed expectations. - **We are proudly accountable** – We take ownership, meet commitments, and focus on solutions, not blame. - **We do the right thing** – We act with integrity, communicate openly, and foster a culture of respect, inclusivity, and trust. - **We unite as one team** – We collaborate, support each other, and celebrate wins together. Clear communication keeps us aligned and moving forward. Join us to build something amazing together! #### Benefits - 100% remote - 4-day work week - 2 Weeks PTO - 1 Week Sick Leave - December Holidays Break - Maternity & Paternity Leave - Crypto Payment in USDT (Optional) - Many more!
Openness not stated by employer — check the listing
Explore related
Market data & reports
Salary & skill-demand research built from our own listings data.
- Indonesia IT Jobs vs Global Remote (2026)Primary analysis of 2,049 listings: methodology, classification rules, downloadable datasets.
- AI-Skill Demand: Indonesia vs Global Remote (2026)10,000+ postings, taxonomy-first classifier, Wilson CIs, pre-registered before analysis.
- Indonesia Hiring Report: Tech vs Non-TechJob demand by field from aggregate open-job counts — never individual listings.
- Indonesia Salary BenchmarkAggregate salary ranges across roles, with open methodology and dataset.
- Indonesian Remote Work Salary & Demand IndexHow much of the global remote job corpus is open to Indonesia, and what it pays (USD) by role.
- Indonesia Quarterly Labor Market ReportLayoffs, funding, salaries & skills per quarter — open aggregates.
- Remote Market Reports by RoleAuto-generated per role family — skills, seniority, companies, salary.
- Global Remote Salary BenchmarkAnnual salary by role & currency, plus the share of listings open worldwide.