AI/ML Backend Developer

Hybrid • Posted 9 hours ago • Updated 55 minutes ago

Contract Corp To Corp

Contract W2

Remote

Fitment

Dice Job Match Score™

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Job Details

Skills

Amazon Web Services
Terraform
microservices
data Processing
Apache Spark
backend
FastAPI
Governance
API design
Dask
Identity and Access Management
Artificial Intelligence
pytest
AWS Fargate
Apache Flink
Testing Skills
Low Latency
Safety Principles
Application Programming Interfaces (APIs)
Auditing Skills
Python (Programming Language)
Cloud Computing
Continuous Integration
Extract Transform Load (ETL)
Automation of Tests
Knowledge of Standards Compliance
Amazon Simple Queue Service (SQS)
Key Management
Kinesiology
Management Accounting
Typing Skills

Summary

Title: Senior AI/ML Backend Developer

Position Type: Contract/ Full Time

Location: Remote across Canada

About the Role

We're looking for a Senior AI/ML Backend Developer to build and scale production grade AI agent systems using AgentCore runtime and the Strands agent framework. You'll design robust retrieval augmented generation (RAG) pipelines, high throughput data processing services, and integrate AWS Bedrock foundation models in low latency, reliable APIs.

What You'll Do

Architect, build, and optimize AI agents using AgentCore runtime and Strands for task orchestration, tool usage, and multi step reasoning.
Design and deploy RAG pipelines (chunking, embeddings, vector stores, ranking) with strong observability and evaluation.
Implement scalable Python microservices and data processing (ETL/ELT) with async I/O, queuing, and backpressure.
Integrate AWS Bedrock models (e.g., Anthropic/Meta/Amazon) with safe guardrails, prompt orchestration, and cost controls.
Productionize agents with CI/CD, IaC (Terraform/CDK), Amazon EKS or ECS/Fargate, and automated testing.
Establish evaluation & governance for agents/RAG (accuracy, latency, hallucination, drift, PII handling).
Collaborate with Product, Data, and Security to hit performance SLAs and compliance standards.

What You'll Bring

6 10+ years backend engineering; 3+ years AI/ML apps/agents in production.
Hands on with AgentCore runtime and Strands agent framework (or equivalent agent frameworks).
Deep RAG experience (vector DBs like Pinecone, OpenSearch/KNN, Milvus, or pgvector).
Strong Python (FastAPI, asyncio, typing, pydantic), API design, and testing (pytest).
Cloud native on AWS (EKS/ECS, Lambda, SQS/Kinesis, Step Functions); AWS Bedrock familiarity.
Data processing at scale (Spark/Flink or Dask preferred), and feature/log pipelines.
Security & compliance mindset (PII handling, key management, IAM, audit trails).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91122967
Position Id: 2026-4104
Posted 9 hours ago

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