
$0-$0 / yr
Salary
dominican republic
Region
ASAP
Start Date
We are a world-class technology company providing the best software solutions and there’s a whole entire world of opportunities available for you with us. Our vision is to develop the Software Industry and contribute to the creation of intellectual property in LATAM. With over 1000+ Engineers and a disruptive perception of education and learning, we’re proud to be one of the pioneers in the region. In the 100+ versions of our Training Programs we have trained more than 1500 engineers in the region and we want to contribute to the growth of the Software industry in LATAM.
We're looking for a Senior AI/ML Engineer to design and build the foundational AI layers, multi-step agentic workflows, and developer tooling for the broader engineering organization. You'll focus on the internal runtime for AI: implementing prompt frameworks, enforcing deterministic structured outputs, and deploying production-grade Human-in-the-Loop state automations — turning raw context into reliable, zero-hallucination agent-based actions.
Requirements
Must-Have 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
Preferred Experience
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.
Every qualified candidate who meets the requirements outlined in the job description will be considered in this hiring process without distinction.
Furthermore, Jalasoft is an equal opportunity employer. We wholeheartedly embrace our responsibility to make employment decisions without regard to race, age, marital or social status, national origin, disability, sex, gender identity or expression, or any other characteristic or group of candidates or employees unrelated to their qualifications and suitability for the position. Our management is committed to upholding this policy with respect.