AI/ML EngineerGlobal Soft Systems • United States

AI / ML Engineer

Global Soft Systems • United States

6 days ago

Job type

Full-time

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Job description

Role : AI / ML Engineer

Duration : 6+ months

Location : Remote

Top 3 Required Technical Skills :

AI / ML

: Amazon Bedrock, AgentCore, LangChain, vector databases
AWS Services
: Lambda, API Gateway, Step Functions, EventBridge, S3, DynamoDB
Languages
: Python, TypeScript, SQL
Infrastructure
: AWS CDK, CloudFormation, Docker
Monitoring
: CloudWatch, X-Ray, custom metrics and dashboards

Organization / Team Culture : Culture is trying to advance it's technical maturity in advanced engineering practices and technology stacks. Not interested in someone who does not have a desire to do quality work, prove themselves or collaborate. The right fit is someone who geeks out a bit on technology and understands how to troubleshoot and solve problems on their own. Ideal candidate could be a long term consultants.

Environment will be flexible with people if they are an A player.

Team Size / Structure : This is a growing team of Engineering working on multiple POC's in AI within 8 Digital Data Products

Specific Industry / Company experience required : Ag experience could be a great touch.

Job Description :

Design and implement agentic AI systems using Amazon Bedrock and AgentCore

Build multi-agent orchestration platforms with tool integration (MCP, function calling)

Architect enterprise AI solutions with proper security, monitoring, and governance

Develop AI agents that autonomously execute complex business workflows

Integrate AI systems with existing enterprise applications and data sources

Optimize agent performance, reliability, and cost efficiency

Collaborate with product teams to translate business requirements into AI solutions

Key Requirements :

5+ years software engineering experience with 2+ years in AI / ML systems

Deep expertise with Amazon Bedrock (Claude, Titan, custom models)

Hands-on experience with AWS AgentCore or similar agent frameworks

Strong AWS architecture skills (Lambda, API Gateway, Step Functions, EventBridge)

Experience building production AI systems with proper MLOps practices

Proficiency in Python, TypeScript / JavaScript, and infrastructure as code (CDK / Terraform)

Understanding of LLM prompt engineering, RAG, and fine-tuning techniques

Experience with enterprise security, compliance, and governance requirements

Technical Stack

AI / ML

: Amazon Bedrock, AgentCore, LangChain, vector databases

AWS Services

: Lambda, API Gateway, Step Functions, EventBridge, S3, DynamoDB

Languages

: Python, TypeScript, SQL

Infrastructure

: AWS CDK, CloudFormation, Docker

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