CrawlJobs Logo

AI Lead Backend

Canada, Toronto 150000.00 USD / Year · Job Posted March 21, 2026
Apply Position
Job Link Share

Job Description

We are seeking an experienced AI Lead – Backend (AWS Focus) to lead the design and development of scalable AI-driven backend systems on AWS cloud. The ideal candidate will combine strong backend engineering expertise with hands-on experience in AI/ML solutions and cloud-native architecture.

Job Responsibility

  • Lead backend architecture and development for AI-powered applications
  • Design scalable and secure cloud-native solutions on AWS
  • Develop APIs and microservices supporting AI/ML models
  • Integrate ML models into production environments
  • Optimize performance, scalability, and cost efficiency
  • Implement CI/CD pipelines and DevOps best practices
  • Collaborate with Data Scientists, ML Engineers, and DevOps teams
  • Provide technical leadership, mentorship, and code reviews

Requirements

  • Strong backend development experience (Python, Java, or Node.js)
  • Deep knowledge of AWS services (EC2, Lambda, S3, RDS, EKS, SageMaker)
  • Experience deploying and managing ML models in production
  • Strong understanding of microservices architecture
  • Experience with Docker and Kubernetes
  • Knowledge of API design and RESTful services

Nice to have

  • AWS Certification (Associate/Professional)
  • Experience with Generative AI or LLM integrations
  • Experience in building high-availability distributed systems
  • Strong leadership and stakeholder communication skills

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

AI Lead Backend

8 matching positions

Lead Software Engineer, Backend (AI Infrastructure & Tooling)

Do you love building and pioneering in the technology space? Do you enjoy solvin...
Location
Location
United States , Plano
Salary
Salary:
179400.00 - 204700.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree
  • At least 4 years of professional software engineering experience (Internship experience does not apply)
  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Job Responsibility
Job Responsibility
  • Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
  • Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
What we offer
What we offer
  • performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • Fulltime
Read More
Arrow Right

Ai & Software Engineer Lead - Backend

As an Lead Software Engineer at PMG, you’ll join a dynamic team that thrives on ...
Location
Location
United States , Dallas
Salary
Salary:
Not provided
pmg.com Logo
PMG
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of backend development experience, with a strong focus on building scalable, high-performance systems, or a related field, with a bachelor’s or master’s degree or equivalent experience
  • 3+ years working with modern backend frameworks such as Django, Flask, or Express.js
  • Proven experience designing and integrating RESTful APIs and microservices architectures
  • Hands-on experience working across all stages of software development, including requirements, design, coding, testing, implementation, and support
  • Experience mentoring and guiding engineers to achieve technical excellence
  • Proficiency in backend languages like Node.js, Python, or Go with a focus on clean and maintainable code
  • Advanced skills in working with databases such as PostgreSQL, MongoDB, Redis, or MySQL, including query optimization and schema design
  • Familiarity with AI technologies like OpenAI, Bedrock, Vertex, and LangChain to explore and implement innovative backend solutions
  • Experience with version control tools like Git and CI/CD pipelines to automate testing and deployments
  • Knowledge of infrastructure-as-code tools such as Terraform or Ansible to manage infrastructure efficiently
Job Responsibility
Job Responsibility
  • Leading the design, development, and deployment of innovative, scalable features within the Alli suite of applications
  • Drafting and implementing architectural designs to produce reliable, complex, and highly scalable technical solutions
  • Working closely with Product Managers, Designers, and cross-functional teams to integrate AI-driven solutions that improve performance and drive business outcomes
  • Building scalable products that drive measurable results for our clients
  • Fostering a culture of collaboration and innovation by mentoring junior and mid-level engineers and promoting development best practices
  • Conducting coding, debugging, testing, and troubleshooting across the application development lifecycle
  • Conducting code reviews and providing fellow backend engineers critical feedback to ensure high-quality, maintainable code across Alli
  • Pioneering development in state-of-the-art technologies that transform the marketing technology space
What we offer
What we offer
  • Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support
  • Generous Time Off: Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones
  • Parental Leave: We provide paid parental leave to support your family during important life events
  • Retirement & Pension Plans: Plan for your future with competitive retirement or pension programs, including contribution matching
  • Fertility and Family Support: Access fertility benefits for all team members and their spouses
  • Healthcare: Coverage and support for everyday medical expenses and routine care, tailored by geography
  • Pet Insurance: Protect your pet's health and your finances
  • Lifestyle Spending Accounts: Enjoy 100% company-funded accounts to promote healthy habits and well-being
  • Commuter Benefits: Access support for travel and commuting needs, where available
  • Annual Bonus: All employees are eligible for an annual bonus
Read More
Arrow Right

GCP AI Platform Architect / Lead AI Platform Engineer

Our client is an innovative technology company specializing in the development o...
Location
Location
Poland , Kraków
Salary
Salary:
Not provided
teamquest.pl Logo
TeamQuest Sp. z o. o.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • GCP Expertise (verifiable - ask for production examples): GCP is their primary cloud not secondary experience alongside AWS/Azure. Production deployments across most of: Vertex AI, Cloud Run or GKE, Pub/Sub, BigQuery, Secret Manager, VPC Service Controls, IAM + Workload Identity. Has designed for GCP from scratch, not migrated from another cloud, end-to-end ownership
  • AI / Backend Engineering: Python is the primary language - production-grade service/API development, not scripting or data science only. Strong track record building distributed systems and integrating LLMs.
  • Agentic Architecture (must be production, not PoC): Hands-on production experience with at least one: LangGraph, Google ADK, CrewAI, or custom multi-agent orchestration layer. RAG pipelines shipped to production. Google ADK: candidate must be able to explain what it is, when to use it, and how it compares to LangGraph and custom orchestration. AI agent workflows, ReAct prompting, and Function Calling in production environments
  • Multi-Tenant Architecture: Has designed a multi-tenant SaaS platform end-to-end - not just contributed. Can articulate tenant isolation strategies: IAM boundary design, data isolation per tenant, VPC controls.
  • API Design & Integrations: Proven ability to create secure, high-performance APIs capable of asynchronously managing traffic and communication between multiple decoupled services.
  • Enterprise Security: Practical knowledge of data isolation in multi-tenant SaaS architectures, IAM, and securing cloud-based environments.
  • Vector Databases: Hands-on experience with semantic search and at least one of: Pinecone, Weaviate, pgvector, or Vertex Matching Engine.
Job Responsibility
Job Responsibility
  • System Architecture: Design and develop a scalable, cloud-native architecture on Google Cloud Platform (GCP) that meets enterprise security and multi-tenant data isolation requirements for a SaaS environment
  • AI Agent Orchestration: Architect and implement autonomous, multi-step AI workflows with a clear separation of agent responsibilities (retrieval, analysis, reasoning, response generation)
  • Hands-on Core Development: Actively contribute to core system development-coding orchestration logic, designing services, optimizing performance, and building secure API integrations for routing queries across internal and external agents
  • Frontend Enablement: Design the backend layer, streaming protocols, and APIs to seamlessly support and integrate with advanced conversational UIs
  • Data Management & Extensibility: Build a robust backend capable of processing qualitative and social data, ensuring the platform is easily extensible to incorporate new data sources
What we offer
What we offer
  • Attractive salary
  • Full remote work
  • Social benefits:sporto card,healthcare insurance
  • Fulltime
Read More
Arrow Right

GCP AI Platform Architect / Lead AI Platform Engineer

Our client is an innovative technology company specializing in the development o...
Location
Location
Poland , Katowice
Salary
Salary:
Not provided
teamquest.pl Logo
TeamQuest Sp. z o. o.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • GCP Expertise (verifiable - ask for production examples): production deployments across most of: Vertex AI, Cloud Run or GKE, Pub/Sub, BigQuery, Secret Manager, VPC Service Controls, IAM + Workload Identity
  • Has designed for GCP from scratch, not migrated from another cloud, end-to-end ownership
  • AI / Backend Engineering: Python is the primary language - production-grade service/API development, not scripting or data science only
  • Strong track record building distributed systems and integrating LLMs
  • Agentic Architecture (must be production, not PoC): Hands-on production experience with at least one: LangGraph, Google ADK, CrewAI, or custom multi-agent orchestration layer
  • RAG pipelines shipped to production
  • Google ADK: candidate must be able to explain what it is, when to use it, and how it compares to LangGraph and custom orchestration
  • AI agent workflows, ReAct prompting, and Function Calling in production environments
  • Multi-Tenant Architecture: Has designed a multi-tenant SaaS platform end-to-end - not just contributed
  • Can articulate tenant isolation strategies: IAM boundary design, data isolation per tenant, VPC controls
Job Responsibility
Job Responsibility
  • System Architecture: Design and develop a scalable, cloud-native architecture on Google Cloud Platform (GCP) that meets enterprise security and multi-tenant data isolation requirements for a SaaS environment
  • AI Agent Orchestration: Architect and implement autonomous, multi-step AI workflows with a clear separation of agent responsibilities (retrieval, analysis, reasoning, response generation)
  • Hands-on Core Development: Actively contribute to core system development-coding orchestration logic, designing services, optimizing performance, and building secure API integrations for routing queries across internal and external agents
  • Frontend Enablement: Design the backend layer, streaming protocols, and APIs to seamlessly support and integrate with advanced conversational UIs
  • Data Management & Extensibility: Build a robust backend capable of processing qualitative and social data, ensuring the platform is easily extensible to incorporate new data sources
What we offer
What we offer
  • Attractive salary
  • Full remote work
  • Social benefits: sport card, healthcare insurance
  • Fulltime
Read More
Arrow Right
New

Lead AI Automation Engineer

Intellias helps retailers deliver consistent, omnichannel experiences through te...
Location
Location
Bulgaria; Croatia; Poland; Portugal; Ukraine
Salary
Salary:
Not provided
Intellias
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Hands-on work with LLM pipelines / agents (not just tools)
  • Prompt tuning, structured outputs (JSON/schema)
  • Understanding of MCP tools and data retrieval
  • Ability to work with: APIs, JSON data models, async flows (queues, events)
  • Understanding of: PHP / Laravel architecture, DB concepts (Postgres / configuration / tenants)
  • Deep Playwright usage: fixtures, storage state, network interception, async/debugging
  • Ability to build reusable flows (no duplication)
  • Ability to debug across: AI output → test → API → application
  • Handling of: authentication / cookies / environment issues, incorrect AI-generated scenarios
Job Responsibility
Job Responsibility
  • Act as AQA Squad Lead, owning AI-first automation direction in the team
  • Perform TypeScript / Playwright code reviews during the transition phase
  • Work hands-on with TypeScript, Playwright, Copilot (IDE), and MCP tools locally as part of daily delivery
  • Design and lead LLM pipeline / agent-based automation architecture (AI-first system design)
  • Define and improve prompting strategies and structured outputs (JSON / schema-based automation)
  • Ensure quality and consistency of AI-generated test automation outputs across the squad
  • Lead end-to-end debugging across AI output → test → API → system, including environment/auth issues and incorrect AI scenarios
  • Work with REST APIs, JSON data models, async flows (queues/events), and understand backend context including PHP/Laravel architecture and DB concepts (Postgres, configuration, tenants)
  • Apply and guide advanced Playwright usage (fixtures, storage state, network interception, async debugging, reusable flow design)
  • Drive transition from traditional automation to LLM + MCP-driven AI-native testing system, while remaining hands-on technical lead
Read More
Arrow Right

Rag + Agentic Ai Lead

We are looking for a highly skilled RAG + LLM-based Agentic AI Engineer to build...
Location
Location
Salary
Salary:
Not provided
Codvo AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ Years
  • RAG Engineering
  • Agentic AI
  • Vector & Search
  • LLM Ops
  • Backend & Infra
  • Data Engineering
  • Security & Governance
Job Responsibility
Job Responsibility
  • Build end-to-end RAG pipelines: smart chunking, hybrid retrieval, reranking, query rewriting
  • Implement LangGraph-based agentic workflows with tools, planning, and self-healing behaviors
  • Develop and optimize vector search systems (Qdrant/Weaviate/OpenSearch)
  • Design multi-tenant, ontology-driven knowledge layers for enterprise data
  • Implement guardrails, hallucination reduction, and automated evals
  • Build and maintain document ingestion pipelines (PDF, DOCX, OCR, images)
  • Architect and deploy FastAPI-based AI microservices with caching and async execution
  • Integrate LLM systems with enterprise apps (SharePoint, CRM, databases, MCP tools)
  • Ensure security, PII safety, auditability, and governance requirements are met
  • Collaborate with solution architects and domain SMEs to translate use cases into working AI systems
What we offer
What we offer
  • Work on cutting-edge agentic AI systems at production scale
  • Ownership over enterprise-grade architectures
  • Fast growth environment
  • Influence Codvo’s platform and accelerators
  • Fulltime
Read More
Arrow Right

AI Lead

We are seeking a highly skilled and experienced Senior AI Engineer a deep unders...
Location
Location
Qatar , Doha
Salary
Salary:
Not provided
Codvo AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or related field
  • 5+ years of experience in AI/ML engineering with end-to-end pipeline development
  • Hands-on experience building and deploying LLM/RAG systems in production
  • Strong experience with public cloud platforms (AWS, Azure, or GCP)
  • 2+ years of experience in asset-heavy industries (e.g., oil & gas, utilities, manufacturing)
  • Proficient in Python and libraries such as Transformers, SentenceTransformers, PyTorch
  • Deep understanding of GenAI infrastructure, LLM APIs, and toolchains like LangChain/LangGraph
  • Experience with RESTful API development and version control using Git
  • Knowledge of vector DBs (Qdrant, FAISS, Weaviate) and similarity-based retrieval
  • Familiarity with Docker, Kubernetes, and scalable microservice design
Job Responsibility
Job Responsibility
  • Design and implement scalable and modular pipelines for data ingestion, transformation, and orchestration across GenAI workloads
  • Manage data and model flow across LLMs, embedding services, vector stores, SQL sources, and APIs
  • Build CI/CD pipelines with integrated prompt regression testing and version control
  • Use orchestration frameworks like LangChain or LangGraph for tool routing and multi-hop workflows
  • Monitor system performance using tools like Langfuse or Prometheus
  • Develop systems to ingest unstructured (PDF, OCR) and structured (SQL, APIs) data
  • Apply preprocessing pipelines for text, images, and code
  • Ensure data integrity, format consistency, and security across sources
  • Integrate external and internal LLM APIs (OpenAI, Claude, Mistral, Qwen, etc.)
  • Build internal APIs for smooth backend-AI communication
  • Fulltime
Read More
Arrow Right

AI Backend Engineer

We are looking for a Backend Engineer who builds with AI at the centre of their ...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
altovita.com Logo
AltoVita
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Backend Development: 4+ years of commercial backend experience in any modern backend language (PHP, Node.js/TypeScript, Python, Go, Java, C#, Ruby, etc.)
  • Deep AI Tooling Experience: Hands-on, demonstrable use of Claude Code, Cursor, or similar agentic coding tools as a primary part of your workflow
  • Agent Configuration: Practical experience writing CLAUDE.md / AGENTS.md / equivalent files, custom commands, and sub-agent setups
  • MCP (Model Context Protocol): Working knowledge of MCP
  • API Design: Designing and managing scalable, secure APIs
  • Automated Testing: Strong testing instincts
  • Database Management: Solid grasp of MySQL/relational and NoSQL databases
  • Communication: Strong English (B2+) and the ability to explain AI-augmented workflows
Job Responsibility
Job Responsibility
  • AI-First Development: Lead by example in using Claude Code and agentic tooling for real production work
  • Agent Configuration & MCP: Build and maintain agent instruction files, custom commands/slash-commands, sub-agents, and MCP server integrations
  • AI Workflow Design: Define how AI-generated code enters our repos — review standards, test expectations, security checks, and the guardrails around it
  • Backend Engineering: Ship real backend features and services
  • Code Quality & Review: Set the bar for what good looks like in an AI-augmented codebase
  • Team Enablement: Upskill other engineers in AI tooling
  • Collaboration: Partner with product, frontend, DevOps, and QA to align technology with business goals
Read More
Arrow Right