HED · 1 day ago
AI Platform Developer
HED is an inclusive architecture and engineering practice seeking an AI Platform Developer to build durable, production-grade AI agent systems. The role focuses on ensuring the operational foundations of AI systems are reliable and maintainable while collaborating with stakeholders to translate needs into effective solutions.
Consulting
Responsibilities
Design, build, and orchestrate multi-agent workflows (handoffs, coordination, retries/fallbacks, and failure handling) for business-critical use cases
Develop agents with role-appropriate personas, boundaries, and context so outputs are consistent, trustworthy, and aligned to business intent
Own Bronze-layer ingestion: build and maintain connectors/interfaces; manage schema drift, reliability, change handling, monitoring, and alerting
Treat data inputs/outputs as contracts—versioned, traceable, testable—and implement validation at data boundaries
Implement observability across the AI lifecycle (structured logs, traces, evaluation artifacts, and audit trails) so systems are debuggable and reviewable
Implement guardrails and controls: budgets, rate limits, model selection strategy, safe defaults, and kill-switches to prevent runaway behavior
Apply governance and access boundaries early (permissions, sensitive data handling, traceability, compliance posture) rather than bolting it on later
Produce durable documentation (architecture notes, runbooks, interface contracts) and enable others to operate and extend the platform
Provide evidence-based buy vs. build recommendations, and advocate for responsible sunsetting when systems reach end-of-life
Qualification
Required
Bachelor's degree in computer science, data engineering, or a related field (or equivalent experience)
5+ years of software engineering and/or data engineering experience, including building and operating production services
Demonstrated experience deploying and supporting AI/LLM systems in production (monitoring, incidents, iteration, and measured improvement)
Hands-on multi-agent orchestration experience (e.g., LangChain, AutoGen, CrewAI, or similar), including workflow design and failure handling
Experience owning connectors/ingestion pipelines (reliability patterns such as retries, idempotency, schema/version management, and alerting)
Strong Python engineering skills; comfort working with APIs, data stores, and workflow/orchestration tooling
Operational discipline: logging, audit trails, debugging methodology, cost/token controls, and rollback mindset
Documentation-first habits (design notes, runbooks, interface contracts) and the ability to communicate tradeoffs to non-technical stakeholders
Preferred
Databricks/lakehouse + medallion familiarity
experience implementing governance/audit requirements
AEC or project-based domain exposure
Company
HED
At HED, we believe great design is about more than aesthetics—it’s about solving complex challenges, enriching communities, and building a better future.
H1B Sponsorship
HED has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Growth StageCompany data provided by crunchbase