Junior AI/ML Engineer, GenAI, AWS

Provectus

. Build and contribute to RAG system components under senior guidance, with growing autonomy .

Posted 11/7/2026full-timeRemote • Ukraine, Spain, Serbia, Armenia, PolandJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong proficiency in Python and/or TypeScript for building RAG systems and integrating AI components into backend services. Possesses practical AWS experience and a solid understanding of AI/ML fundamentals, with the ability to contribute to technical discussions and model evaluation efforts.

Highest-signal resume keywords

Python ProficiencyAWS ExperienceRAG Systems DevelopmentCI/CD Pipeline ExperienceAI/ML Foundations

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonTypeScriptRAG SystemsAWS LambdaAWS S3AWS ECSCI/CDLLM APIsModel MonitoringNLP

Soft Skills

Excellent CommunicationProblem-SolvingProactiveSelf-DirectedComfortable with Ambiguity

Tools & Technologies

ContainersRESTful APIsGitHub ActionsGitLab CIApache SparkApache AirflowKafka

Certifications & Qualifications

AWS CertificationClaude Code Certification

Industry Keywords

Financial ServicesInsuranceHealthcareConsultingProfessional Services

Tech Stack

Tools & technologies

AirflowApacheAWSKafkaPythonRustSparkTypeScriptGo

About the role

Key responsibilities & impact

Build and contribute to RAG system components under senior guidance, with growing autonomy
Write tests and help build evaluation harnesses
Write production code across AI, backend services, and data pipelines with code review support
Integrate AI components into backend services and RESTful APIs
Support deployment of systems to AWS using containers and CI/CD
Contribute to documentation, runbooks, and client handover materials
Participate in technical discussions and architectural decisions
Support model evaluation efforts and investigate and improve failure modes
Take increasing ownership of components and technical decisions
Work in a senior pod alongside an FDE, an FDX, and Senior AI Engineers
Contribute to client delivery work for enterprise AI applications, managed services, and advisory engagements

Requirements

What you’ll need

Proactive and self-directed; push for clarity rather than waiting for a ticket
Excellent communication and problem-solving skills
Comfortable with some ambiguity, with support from senior team members
B2+ English, comfortable collaborating across distributed, multicultural teams
Hands-on experience building or contributing to RAG systems, ideally in production or near-production
Solid engineering fundamentals; Python and/or TypeScript proficiency
Productive in an unfamiliar codebase with some ramp-up support
Practical AWS experience, such as Lambda, S3, ECS, or similar
Ready to grow into Bedrock and Bedrock AgentCore
Some experience with containers and CI/CD in real projects
Exposure to evaluating non-deterministic systems and test/evaluation cycles
Basic working knowledge of model/agent monitoring concepts
Awareness of cost and latency trade-offs when working with LLMs
Practical experience with LLM APIs, including Anthropic, AWS Bedrock, or OpenAI
2+ years of software or ML engineering experience, including exposure to production systems
Solid AI/ML foundations and understanding of common model failure modes
Nice to have: financial services, insurance, or healthcare experience
Nice to have: consulting, professional services, or embedded customer-facing delivery
Nice to have: AWS and Claude Code certifications, or actively pursuing them
Nice to have: A2A interoperability concepts
Nice to have: CI/CD pipeline experience, such as GitHub Actions or GitLab CI
Nice to have: NLP, LLM, or recommendation engine experience
Nice to have: Go, TypeScript, or Rust experience
Nice to have: Apache Spark, Apache Airflow, or Kafka experience
Nice to have: Claude Code ecosystem, spec-driven development, or MCP experience

Benefits

Comp & perks

Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications
Conference attendance
Career growth and active engineer development
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech needed for comfortable, productive work