7 days ago
Singapore, SingaporeStaff+
Responsibilities
- Design, build, deploy, monitor, and improve agentic AI workflows involving tool calling, automations, retrieval, orchestration, and human-in-the-loop controls.
- Connect agents to customer data sources, APIs, systems of record, permissions, tools, and production workflows.
- Lead customer implementations from scoping and configuration through integration, validation, go-live, adoption, and support handoff.
- Build API integrations, data handoffs, automations, and internal tooling using AI-assisted development.
- Serve as the primary technical contact for customer working sessions, demonstrations, technical deep dives, requirements gathering, and expectation management.
- Coordinate engineering, data science, product, and customer success teams and escalate implementation blockers to resolution.
- Create implementation roadmaps, requirements, specifications, acceptance criteria, success measures, playbooks, templates, and documentation.
Requirements
- 8+ years of customer-facing technical delivery experience in implementation, engineering, professional services, technical program management, product management with hands-on scope, or a related area.
- Demonstrated experience shipping complex technical projects with external stakeholders under real deadlines and consequences.
- Working proficiency in Python or a comparable language for reading code, writing and debugging scripts, building integrations, and shipping small features.
- Fluency with SQL and the ability to explore and validate data independently.
- Practical experience using AI-assisted coding tools such as Claude Code, Cursor, or Copilot.
- Hands-on experience building or deploying agentic AI systems, including LLM-powered agents, tool and function calling, retrieval-augmented generation, or multi-agent orchestration.
- Experience with prompt engineering and agent evaluation, including diagnosing failures and improving production reliability.
- Familiarity with agent frameworks and protocols such as MCP and LangChain, plus external tools, APIs, and data sources.
- Familiarity with APIs, Swagger/OpenAPI, Git-based workflows, and cloud-hosted systems.
- Sufficient understanding of data pipelines, data modeling, and ML systems to scope work and diagnose issues.
- Preferred qualifications include experience in global trade, supply chain, customs, trade compliance, enterprise software implementation at scale, Spark, Databricks, large-scale data processing, internal tooling, automation, or formal product management.
Benefits
- The role is based in Singapore with flexibility to travel onsite to customer locations.
- Altana is an equal opportunity employer and welcomes applicants from diverse backgrounds.
Tech Stack
Categories
Solutions Engineering
About Altana
Altana builds an AI-powered network and software platform for global trade visibility and value chain management used by enterprises and governments. Its SaaS products connect importers, suppliers, logistics providers, and customs agencies to share data for compliance, classification, and supply chain risk. Founded in 2018 and headquartered in New York, Altana serves customers such as Maersk, Boston Scientific, L.L.Bean, U.S. Customs and Border Protection, and the UK Department for Business and Trade.