Genius Match

Our client is building the next generation of AI-powered learning technology, helping educational institutions deliver more personalized and effective learning experiences. As their platform continues to grow, they are expanding the engineering team with a Backend Engineer who will own the critical systems connecting their AI learning platform with leading Learning Management Systems (LMS) such as Canvas, Brightspace (D2L), Moodle, and Blackboard.

This is a high-impact, high-ownership role focused on designing and maintaining the backend infrastructure that powers seamless integration between customer LMS environments and the company's platform. You will work on authentication, LTI standards, API integrations, data synchronization, and scalable backend services that enable the secure exchange of users, courses, enrollments, assignments, and learning content.

Their engineering team values ownership, technical excellence, and pragmatic problem solving. They are looking for someone who enjoys building reliable backend systems, solving complex integration challenges, and collaborating across engineering, product, and customer-facing teams to deliver exceptional customer experiences.

As a Backend Engineer, you will:

• Design, build, and maintain integrations with major LMS platforms, including Canvas, Brightspace (D2L), Moodle, Blackboard, and others;
• Own LTI launch flows, LMS authentication, API permissions, and customer-specific integration configurations;
• Develop scalable backend services using Node.js and TypeScript to synchronize LMS data with the company's platform;
• Design and maintain data models using PostgreSQL and Neo4j;
• Troubleshoot and resolve complex integration issues involving OAuth, SAML, JWT, LTI 1.3, APIs, and data mapping;
• Improve system reliability through enhanced observability, logging, monitoring, and internal support tooling;
• Collaborate closely with Product, Customer Success, and Engineering teams to onboard new educational institutions and ensure successful LMS integrations;
• Contribute to the continuous improvement of the backend architecture and integration infrastructure.

Qualifications:

• Strong commercial experience building backend applications with Node.js and TypeScript;
• Proven experience developing and maintaining third-party API integrations;
• Experience working with relational and/or graph databases, particularly PostgreSQL and Neo4j;
• Solid understanding of authentication and authorization technologies, including OAuth, JWT, SAML, and LTI 1.3;
• Strong debugging, troubleshooting, and problem-solving skills;
• Excellent communication skills with both technical and non-technical stakeholders;
• Self-driven, proactive, and comfortable taking ownership of complex technical systems;
• At least Upper-intermediate English (B2) or higher.

Nice to Have:

• Experience integrating with Learning Management Systems such as Canvas, Brightspace (D2L), Moodle, Blackboard, or similar platforms;
• Background in EdTech, Higher Education, or multi-tenant SaaS products;
• Experience working with background jobs, message queues, monitoring platforms, or cloud infrastructure;
• Familiarity with modern backend architecture, distributed systems, and scalable integration services.

We offer:

• Competitive market salary;
• Fully remote work environment;
• Flexible working hours with collaboration across international teams;
• Opportunity to work on an innovative AI-driven product transforming education;
• A collaborative, highly skilled international engineering team;
• Challenging technical problems, significant ownership, and excellent opportunities for professional growth.

Our client is the leader in the Early Childhood Education (ECE) sector, providing the most widely used developmental assessment and curriculum system in the US. 

They are early in shaping how AI changes the way they build and operate software. They have active initiatives in AI tooling cost-management and agentic development workflows, but their direction is still forming and will keep evolving as the field does. 

They are not looking for someone to execute a fixed plan, they are looking for an experienced practitioner who can validate the direction we are setting, bring expertise we do not have in-house, stay ahead of what is emerging, and help us adjust and grow as the landscape shifts. This person is hands-on enough to build and prove things directly, and senior enough that we trust their judgment on where to place bets.

What you will do

• Act as a hands-on technical partner across AI engineering initiatives, currently spanning tooling cost management, model routing and selection, and agentic development workflows.
• Pressure-test the approaches they are considering, tell them where they are wrong or where a better path exists, and back it with evidence rather than opinion.
• Bring outside expertise and patterns from how other organizations are solving these problems, so they are not learning everything the expensive way.
• Track what is emerging across models, tooling, frameworks, and techniques, and translate it into concrete recommendations on what they should adopt, defer, or ignore.
• Build and run proofs of concept to validate ideas quickly, then help them decide what to operationalize.
• Help mature their agentic development workflow so engineering teams can adopt it, including model routing and token efficiency.
• Partner with Infrastructure and Security so that what they build fits their architecture and meets their data privacy obligations.
• Help them build internal capability, so the expertise compounds with their team and does not leave when the engagement ends.

Required background

• 5+ years in software, platform, or ML engineering, with recent, direct experience building and operating LLM-backed systems in production.
• Demonstrated breadth across the current AI engineering stack: models and their tradeoffs, inference cost dynamics, gateways and routing, agentic workflows, and the AI coding tool landscape.
• A track record of forming a point of view on fast-moving technical decisions and being right often enough to be trusted with them.
• Strong hands-on engineering ability. This person builds, benchmarks, and ships, not just advises.
• Comfort operating with ambiguity and early-stage direction; able to bring structure rather than wait for it.

• Cloud and infrastructure fluency (AWS preferred, including Bedrock).

   

Strongly preferred

• Experience helping an organization adopt AI-first engineering practices, not just individual tool use.
• Hands-on model evaluation and routing design, and exposure to AI cost governance.
• Experience in regulated data environments. 
• A habit of staying current through real practice (building, writing, contributing) rather than headlines.

What this role is not

• Not a fixed-scope implementation seat. The work will change as their direction evolves, and they want someone who helps drive that change.
• Not a data science or model training role. The focus is applied AI engineering, integration, and enablement.
• Not a manager. Individual contributor, hands-on, with influence earned through expertise. 

Our client is building an end-to-end carbon credit platform on AWS that uses geospatial data, APIs, blockchain-based traceability, and AI-driven audit readiness tooling. We’re looking for a senior engineer to help build core backend systems and interoperability layers for an MVP-stage product.

What You’ll Do

• Build backend services in Python
• Design and implement AWS-native architecture and integrations
• Develop API interoperability with third-party data, audit, and ecosystem partners
• Translate analytical and mathematical problems into algorithms and production-ready code
• Support geospatial/data-science driven workflows
• Document architecture, logic, and technical decisions clearly
• Work closely in a startup environment with fast iteration and regular demos

Requirements

• Strong Python backend engineering experience
• AWS Solutions Architect certification
• Deep experience with AWS services and cloud architecture
• Strong mathematical/analytical background
• Ability to turn models/problems into numerical or algorithmic solutions
• Experience with APIs and systems integration
• Strong English communication skills
• Comfortable wearing multiple hats in a startup setting
• Willing to work on a fully AWS stack only

Nice to Have

• Experience with geospatial systems or environmental/climate tech
• Familiarity with data science libraries in Python
• Experience in audit/compliance-heavy workflows
• Exposure to blockchain-enabled traceability systems

Working Style

• Startup-minded, hands-on, pragmatic
• Strong documentation habits
• Comfortable with agile/Scrum-style workflows
• Able to collaborate with at least 4 hours overlap with US Eastern time (up to 8 pm Kyiv time)

Tech interview will include

1. Live Python coding exercise, AWS architecture/integration exercise, Analytical-to-algorithmic problem-solving discussion

Our client is the leader in the Early Childhood Education (ECE) sector, providing the most widely used developmental assessment and curriculum system in the US. They are looking for a talented, innovative, and experienced Senior Backend (Go) Software Engineer to join their established product team responsible for building and enhancing key platform capabilities, working on software that supports millions of daily users.

Their Software Engineering team is responsible for building SaaS solutions used by educational organizations across the globe. The team works on a wide variety of projects, solving existing problems while enabling new business objectives. They believe that great technology experts are also software generalists who are unafraid to jump up and down the stack to solve the challenges that come their way. If you enjoy working in a collaborative, fast-paced environment, are curious about how products work, and love building scalable software, this opportunity is for you.

As a Senior Backend (Go) Software Engineer, you will:

• Develop new features, components, and modules to support organizational growth;
• Build and maintain robust backend services and APIs powering a high-traffic SaaS platform;
• Participate in planning, analysis, and design of new software solutions;
• Investigate, troubleshoot, and resolve performance bottlenecks across the application;
• Design and build scalable, reliable backend solutions using modern software architecture principles;
• Learn new technologies and stay up to date with both established and emerging best practices;

• Work independently while collaborating closely with cross-functional team members to ensure successful project delivery.

   

Qualifications:

• 8+ years of production experience in software engineering and SaaS product development;
• Senior-level knowledge of Golang;
• Experience designing and building scalable distributed systems;
• Strong understanding of modern software architecture, including SOA and microservices;
• Strong knowledge of relational databases (e.g. PostgreSQL);
• Working knowledge of AWS and familiarity with services such as Kubernetes, Redis, and SQS/SNS;
• Excellent debugging, testing, and problem-solving skills;
• Strong communication and listening skills, with the ability to explain complex technical challenges, perform root cause analysis, and propose effective solutions;
• Curiosity to understand how products work and a genuine interest in technology;
• Experience working in Agile development environments;
• Commitment to security, accessibility, and performance best practices;
• Self-starter with a strong sense of collaboration, teamwork, and accountability;
• Experience using AI developer tools (e.g. Codex);
• Familiarity with LLM/AI APIs and prompt-based workflows;
• Databricks experience is considered a plus, but is not required.