AI/ML Engineer – Agentic Workflows
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Job Description
Senior AI/ML Engineer designing and building AI foundational layers and workflows for engineering teams. Implementing frameworks and deploying production-grade automations with zero-hallucination actions.
Responsibilities:
- Design and build the foundational AI layers for broader engineering organization
- Implement prompt frameworks and enforce deterministic structured outputs
- Deploy production-grade Human-in-the-Loop state automations
- Turn raw context into reliable, zero-hallucination agent-based actions
Requirements:
- Overall Experience: 7+ years in Backend Software Engineering and AI/ML Application Engineering
- Agentic Architecture: 2+ years engineering multi-step LLM workflows, autonomous agent loops, and multi-agent orchestration frameworks in production
- Developer Platform Enablement: experience building internal SDKs, tools, or structured pipeline abstractions used by other product engineering teams to ship AI features rapidly
- Proficiency in Multi-Step Agentic Workflows & Tooling
- Proficiency in Advanced Amazon Bedrock & Prompt Engineering
- Proficiency in Structured Output Pipelines & Performance Ingestion
- Proficiency in State Management, Automation Consistency & HITL
- Production fluency in Python
- Proficiency in TypeScript/Node.js for Vercel AI SDK and AWS edge workers
- Vercel AI SDK, LangGraph, or LlamaIndex for agentic orchestration
- Reliable tool-calling (function-calling) interfaces for LLM-driven internal system navigation
- Short-term and long-term agent memory architectures with ultra-low-latency in-memory stores (Amazon MemoryDB / Redis OSS / Valkey)
- Amazon Bedrock APIs (foundational model invocation and chaining for agent loops)
- Programmatic prompt optimization, few-shot prompting, dynamic context injection, and prompt caching
- Amazon Bedrock Guardrails (safety gating, prompt injection mitigation, PII redaction)
- Type-safe schema enforcement with Pydantic (Python) or Zod (TypeScript)
- Ingestion workers consuming Amazon MSK (Kafka), SQS, and log sources
- Optimistic Concurrency Control (OCC) and async write-delegation to prevent PostgreSQL deadlocks
- Deterministic multi-step pipelines with AWS Step Functions or LangGraph
- Durable HITL workflows (pause prior to DB writes or API transactions, persist state, resume on approval)
- Idempotent execution layers for safe agent loop retries without record duplication
- Working knowledge of C# (.NET Core) or Java for enterprise pipeline integrations.
Benefits:
- Remote work.
- 13 floating holiday.
- 15 vacation days per year completed.
- Good working environment.
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