Artem Melnikov
@artem-melnikov
Principal backend engineer specializing in AI systems, serverless AWS, and LLM productionization.
What I'm looking for
I am a principal backend engineer with deep expertise building AI-powered, serverless systems on AWS, designing and operating production LLM pipelines that scale to hundreds of thousands of assessments per month. I have led end-to-end delivery across architecture, backend implementation, and production operation for large hiring and EdTech platforms, introducing agentic LLM workflows, centralized prompt management, and significant cost and performance improvements.
My work has driven measurable business impact — from a ~30% reduction in Salesforce costs and major storage optimizations to creating Interview Bot and Grading Bot that process ~100k assessments monthly and accelerate grading by up to 30%. I combine hands-on engineering (TypeScript/Node.js, Kotlin), vector search and retrieval, and multi-provider LLM orchestration with strong infrastructure skills in AWS serverless services to deliver reliable, observable, and secure production systems.
Experience
Work history, roles, and key accomplishments
Principal Backend Engineer
Crossover
Jan 2023 - Jan 2026 (3 years)
Architected and operated serverless AI-powered hiring products processing 100,000+ candidate interactions monthly; led full-stack delivery across 8+ major projects, reducing costs and improving assessment automation and sourcing effectiveness.
Backend Principal Engineer
Crossover
Jan 2021 - Jan 2023 (2 years)
Designed company-wide IaC for serverless applications with AWS CDK, migrated projects from Amplify and reduced CI/CD time 4x; automated developer workflows and contributed data import and Salesforce cost-saving solutions.
Chief Software Architect
Crossover
Jun 2020 - Nov 2020 (5 months)
Led rewrites and new serverless SaaS architectures (ResponseTek, e‑commerce search), introduced IaC and observability, and managed small engineering teams to deliver secure, observable cloud-native solutions.
Software Architect
Crossover
Apr 2019 - Feb 2020 (10 months)
Developed a serverless FogBugz rewrite, designed multi-tenant DynamoDB access patterns, implemented ElasticSearch indexing and CI/CD pipelines, and achieved high test coverage and significant codebase reduction.
Java Developer
Sberbank-Technology
Aug 2015 - Nov 2015 (3 months)
Developed an internal employee portal using Java EE and WebSphere, contributing to backend features and integrations during an internship/contract engagement.
Java Developer
Lanit-Tercom
Sep 2014 - Jun 2015 (9 months)
Built production management systems for Toyota using Java, Spring, Hibernate and jQuery, delivering full-stack features for manufacturing workflows.
Education
Degrees, certifications, and relevant coursework
Murmansk State Technical University
Specialist Degree (M.S. Equivalent), Software Engineering
2008 - 2013
Completed a Specialist degree in Software Engineering with coursework and projects covering software development and systems design.
Tech stack
Software and tools used professionally
Google Tag Manager
AWS Amplify
AWS Glue
Amazon S3
AWS Step Functions
GitHub
SonarQube
PMD
Jenkins
Salesforce
Jupyter
PostgreSQL
Amazon Route 53
Google Docs
Gmail
Node.js
Material-UI
Phaser
Google Analytics
Jira
FogBugz
Angular 2
jQuery
Kendo UI
Java
PHP
Kotlin
PowerShell
Java EE
Pascal
XML
Amazon SQS
Amazon DynamoDB
AWS X-Ray
GraphQL
Elasticsearch
OpenSearch
AWS Lambda
Serverless
Google Sheets
Amazon RDS
Vercel
TypeScript
JUnit
Mockito
Amazon Cognito
sso
Assistant.to
Amazon Web Services (AWS)
SQL
Google Ads
SurveyMonkey
AWS AppSync
OwnBackup
LangChain
Pinecone
Ray
Cursor
Langfuse
Vercel AI SDK
Bash
Agentic
Enhance
Make
Windsurf
Dynamic
Novel
Task
Remote
Safe
Read AI
ChatGPT
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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