Full-Stack Developer Jobs

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🔥 AI Engineer (Associate) - Remote

Posted about 13 hours ago

📍 United States, Canada

💸 100000.0 - 125000.0 USD per year

🏢 Company: huroncareers

🔧 Requirements

Minimum of 4 years of hands-on experience in AI/ML development or intelligent application engineering
Proficiency in Python and familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)
Experience building APIs or backend services using FastAPI, Flask, or equivalent frameworks
Exposure to agent frameworks (e.g., LangGraph, AutoGen) and vector databases
Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)
Familiarity with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or Google AI/ML services
Experience with MLOps pipelines, CI/CD for model delivery, or model monitoring is a plus
Familiarity with orchestration standards or tools such as MCP or agent routing protocols is a plus
Knowledge of AI system evaluation, observability, or prompt performance testing is a plus
Ability to work on cross-functional teams, balance multiple projects, and communicate effectively with technical and non-technical audiences
Cloud certifications in AI/ML services (Azure, AWS, or Google Cloud) is a plus
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field

💡 Responsibilities

Design and develop AI-powered systems using both traditional ML and generative AI techniques, including prompt engineering, fine-tuning, and embeddings
Build intelligent applications and agents that can perform tasks autonomously or interactively, using frameworks like LangGraph, AutoGen, CrewAI or similar
Create modular, well-documented APIs and service components (e.g., using FastAPI or Flask) to enable model integration and consumption
Develop and manage data pipelines, including data collection, transformation, and quality assurance to support model training
Implement observability and evaluation mechanisms to monitor AI system behavior, including accuracy, drift, reliability, and task-level reasoning
Collaborate with software engineers, data scientists, and solution architects to ensure seamless design, development, and transition to production
Support rapid experimentation as well as robust deployment pipelines, depending on the maturity of each use case
Stay informed on the latest trends in GenAI, AI agents, orchestration protocols, and evaluation frameworks to continuously evolve our capabilities

AWS Backend Development Docker Python Software Development SQL Cloud Computing Data Analysis Flask Frontend Development Kubernetes Machine Learning PyTorch Algorithms API testing Azure Data engineering Data science FastAPI Tensorflow Communication Skills Analytical Skills CI/CD Problem Solving RESTful APIs Adaptability Teamwork JSON Data modeling Data management Debugging

Posted about 13 hours ago

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🔥 Contract Python Microservices Developer - Django

Posted about 18 hours ago

📍 United States

🧭 Contract

💸 80.0 - 105.0 USD per hour

🔍 Tech

🏢 Company: The Motley Fool👥 501-1000💰 $25,000,000 Private over 15 years agoPublishing Consulting News Financial Services Marketing

🔧 Requirements

5+ years of experience building, delivering, enhancing, and maintaining apis consumed by multiple systems using a Python-based framework like Django, FastApi, or Flask
Significant experience with performance optimization (async processing, caching, queuing, and query optimization)
Experienced with high-volume systems - hundreds of thousands of users and transactions per day
Experienced with system monitoring and telemetry
Experienced working with relational databases, ORMs, and SQL
Skilled at developing full-stack web applications
Ability to translate business goals and requirements into technical solutions
Proven track record in high-performance teams, where cross-functional collaboration is valued
Excellent problem-solving and communication skills
Knowledge of investing and/or finance

💡 Responsibilities

Contribute to the development and execution of Motley Fool’s investing microservices, ensuring alignment with business objectives
Responsible for systems and data core to our investing products, website, tools, and subscribers including: US and international market data, Portfolio holdings and returns, Corporate actions, Company fundamentals, Crypto, Options, and IPOs, Automated aggregation of subscriber portfolios across brokerages
Responsible for in-house systems that manage trading compliance and holdings disclosures
Integrate with a variety of third party providers and tools
Ensure calculations are accurate with automated tests to validate
Ensure critical data is fresh and highly available with failover capabilities
Collaborate with the team’s product owner and project manager to set the team up for success with shovel ready work that has the value and acceptance criteria clearly defined
Conduct regular 1:1s with direct reports
Regularly review code, contributions, and delivery flow to identify opportunities for improvement and optimization
Drive professional development and career growth opportunities for team members
Partner with multiple in-house teams and external providers to launch subscriber-facing solutions
Find ways to leverage AI tools like Claude or GitHub Copilot to assist the team (e.g. architectural concepts and diagrams, starter code, automated tests)

Backend Development Docker Leadership Python SQL Django Flask Full Stack Development FastAPI Communication Skills CI/CD RESTful APIs Microservices Data modeling

Posted about 18 hours ago

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🔥 (1070) Senior AI Python Engineer

Posted 2 days ago

📍 LATAM

🧭 Full-Time

🔍 Software Development

🏢 Company: Nearsure👥 501-1000 Staffing Agency Outsourcing Software

🔧 Requirements

5+ Years of experience working with the Python programming language, with the ability to work across AI, infrastructure, and tooling codebases.
3+ Years of experience working in cloud environments (AWS or GCP).
2+ Years of experience working with scripting languages (e.g., Bash, Go).
1+ Years of experience working with containerization (Docker) and orchestration (Kubernetes), and with CI/CD systems and infrastructure automation tools (e.g., Terraform, Ansible).
1+ Years of practical, hands-on experience with code-generation tools such as Codex, StarCoder, Claude, or GPT family.
Solid understanding of the full Software Development Lifecycle (planning, coding, testing, releasing, monitoring).
Practical, hands-on experience with large language models (LLMs).
Experience prototyping, benchmarking, and deploying AI solutions to improve developer workflows.
Strong understanding of software development automation and developer productivity enhancement techniques.
Familiarity with prompt engineering and retrieval-augmented generation (RAG) pipelines.
Ability to explain complex AI solutions and technical concepts to cross-functional and non-technical teams.
Research-driven mindset with curiosity for testing new AI ideas, tools, and approaches.
Strong problem-solving skills focused on identifying inefficiencies and applying AI to increase delivery velocity.
Advanced English Level is required for this role as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons.

💡 Responsibilities

Build AI-powered tools to enhance each stage of the SDLC: from code generation and code reviews to testing, documentation, and deployment.
Develop internal assistants and copilots to reduce cognitive load and empower developers to move faster with fewer manual steps.
Automate repetitive development and operational tasks (e.g., writing IaC, generating release notes, updating documentation).
Investigate GenAI solutions (e.g., GitHub Copilot, CodeLlama, GPT-Engineer) to improve CI/CD workflows and eliminate friction in delivery pipelines.
Design, benchmark, and deploy AI-driven solutions that reduce lead time, increase deployment frequency, and enhance reliability.
Explore custom model fine-tuning and retrieval-augmented generation (RAG) approaches when needed.
Prototype features like AI-driven deployment optimizations, cost-aware autoscaling, or predictive incident resolution.
Embed AI into DevOps processes to identify bottlenecks, automate root cause analysis, and surface continuous delivery insights.
Collaborate with SRE and developer experience teams to evolve our Internal Developer Platform (IDP) with intelligent automation.
Partner with engineering, DevOps, and product teams to identify key pain points and deliver impactful AI interventions.
Share findings through workshops, whitepapers, and internal demos to scale learnings across the organization.

AWS Backend Development Docker Python Software Development Artificial Intelligence Bash Cloud Computing Data Analysis Flask Frontend Development Full Stack Development GCP Kubernetes Machine Learning Numpy Algorithms API testing Data Structures FastAPI Go WebRTC Pandas Tensorflow CI/CD RESTful APIs DevOps Terraform JSON Ansible Software Engineering Debugging

Posted 2 days ago

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🔥 Python Developer (Django and FastAPI)

Posted 2 days ago

📍 Pakistan

🧭 Full-Time

🔍 Software Development

🏢 Company: Remotebase👥 51-200💰 $2,100,000 Series A over 2 years agoIT Services and IT Consulting

🔧 Requirements

Strong proficiency in Python with a focus on web frameworks such as Django and FastAPI.
Experience with RESTful API development and integration.
Understanding of front-end technologies (HTML, CSS, JavaScript) and experience collaborating with front-end teams.
Familiarity with database systems, preferably PostgreSQL or MySQL.
Experience with version control systems, such as Git.
Understanding of software design patterns and best practices.
Excellent problem-solving skills and attention to detail.
Strong communication skills and ability to work collaboratively in a remote environment.

💡 Responsibilities

Design and implement new features and functionalities for our web applications using Django and FastAPI.
Collaborate with front-end developers to integrate user-facing elements with server-side logic.
Ensure application performance, quality, and responsiveness.
Develop and maintain RESTful APIs to support front-end applications.
Participate in code reviews and maintain high standards of code quality.
Troubleshoot and debug applications to optimize performance and user experience.
Write efficient, reusable, and reliable code.
Stay updated with the latest industry trends and technologies.

AWS Backend Development Docker PostgreSQL Python Software Development Django Git HTML CSS Javascript Kubernetes MySQL FastAPI REST API

Posted 2 days ago

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🔥 Tech Lead - ML / AI (LLM Systems & Infrastructure)

Posted 2 days ago

📍 Germany, Spain, Italy

🔍 AI

🏢 Company: WorkMotion👥 101-250💰 $10,000,000 Series B almost 3 years agoCompliance Human Resources Employee Benefits

🔧 Requirements

5+ years of experience in ML/AI Engineering or MLOps.
Strong hands-on expertise with LLMs, LangChain, and vector stores (e.g., Qdrant, Pinecone).
Proven experience deploying RAG or chatbot systems in production.
Proficiency with FastAPI, Docker, GitHub Actions, and Python packaging.

💡 Responsibilities

Architect and evolve LLM-powered RAG pipelines for seamless integration into our platform.
Lead the technical direction of AI/ML systems, collaborating with backend and data teams.
Implement robust monitoring, evaluation, and security practices for AI workflows.
Guide hybrid retrieval, prompt engineering, and embedding strategies.
Oversee model integration, deployment, and scaling using Docker, FastAPI, and CI/CD.
Ensure GDPR compliance, RBAC, and audit logging in all AI processes.

Backend Development Docker Python SQL Artificial Intelligence Machine Learning Software Architecture FastAPI CI/CD

Posted 2 days ago

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🔥 Full Stack Engineer_Python & Angular

Posted 2 days ago

📍 Bratislava, Kyiv

🔍 Software Development

🏢 Company: Altamira.ai

🔧 Requirements

Programming: Python, TypeScript
Backend: FastAPI, Pydantic, Pandas, PostgreSQL, Redis
Frontend: Angular (preferred), React, or Vue
Data Analysis: Pandas, NumPy, SciPy
Data Visualization: D3.js, Seaborn, Plotly, Matplotlib
Security: OWASP best practices
DevOps & Cloud:
Containerization: Docker, Kubernetes
CI/CD pipelines
Cloud platforms: DigitalOcean, AWS, or GCP
Other: Linux (all code runs in Linux-based environments)

💡 Responsibilities

Develop and maintain full-stack solutions with a focus on data analysis and visualization.
Design and implement interactive dashboards and data exploration tools.
Optimize data processing workflows for performance and scalability.
Ensure best practices in security, UX, and software development.
Collaborate with data scientists, product managers, and engineers to refine insights delivery.

AWS Backend Development Docker PostgreSQL Python Data Analysis Frontend Development Full Stack Development GCP Kubernetes Numpy TypeScript FastAPI Angular Redis Pandas React CI/CD Linux DevOps Data visualization

Posted 2 days ago

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🔥 Software Engineer - Backend & Integrations [Off Shore]

Posted 3 days ago

📍 Dhaka, BD / Philippines / Bangladesh

🧭 Contract

💸 1000.0 - 2500.0 USD per month

🔍 Software Development

🏢 Company: Contrarian Thinking👥 11-50 Finance

🔧 Requirements

Ideally, 5+ years of experience in designing, developing, deploying & maintaining cloud-native, distributed software systems end-to-end in production.
3-5 years of backend & systems experience with NodeJs, Javascript/Typescript based applications, running on Cloud Architecture
Deep understanding of SOA (Service Oriented Architecture) & patterns with NodeJs
Good understanding of Serverless architecture with NodeJs
Experience developing backend systems with serverless on Vercel & NodeJs frameworks (Express/Nest) on a containerized environment.
Proven experience with Test Driven Development (TDD) & automated testing
Knowledge of Object Oriented Programming (OOP) & Functional programming concepts with an understanding of the tradeoffs.
Familiarity with Domain Driven Development (DDD) & RESTful API.
Ability to dive deep into a monolithic application and an unfamiliar codebase to make changes, refactor, test & improve the state of the application.
Experience mentoring junior engineers.
A genuine interest in learning other coding languages, platforms, frameworks, tools & technologies.
Experience with Python, FastAPI is a huge plus
Experience with Security, AuthN/AuthZ & OAuth is a huge plus.
Experience with IAC (Infrastructure As Code) & CI/CD pipelines is a huge plus.
Experience with Search engines, crawling & scraping systems is a huge plus.
Experience with high growth startups is a huge plus.

💡 Responsibilities

Design, develop, test, deploy, and maintain iterative, incremental improvements across all BizScout platforms and products, resulting in high-quality outcomes
Collaborate with cross-functional team members to deliver impactful initiatives
Manage individual initiatives, priorities, deadlines, and deliverables with your technical expertise
Develop and maintain back end services, systems & integrations using Node.js, TypeScript/JavaScript & Python
Work with Cloud services & CI/CD pipelines to deploy and manage applications.
Mentor other team members and help many increase their technical capabilities, fostering a culture of forwardness, results-oriented execution, open innovation, and creativity
The ability to translate business requirements into functional & technical requirements, break them down & deliver incremental value.
Participate in code reviews to ensure code quality, maintainability, and adherence to best practices.
Assist in troubleshooting and resolving bugs or issues reported by users or QA testers.
Rotational on-call & support duties.
Stay up-to-date with industry trends, technologies, and best practices to continuously enhance your skills and contribute innovative ideas to the team.

Backend Development Docker Node.js PostgreSQL Python Software Development Cloud Computing Express.js Git Javascript Kubernetes OAuth Software Architecture TypeScript Amazon Web Services FastAPI Serverless Communication Skills CI/CD Problem Solving Agile methodologies RESTful APIs Mentoring Microservices

Posted 3 days ago

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🔥 Senior Machine Learning Engineer

Posted 7 days ago

📍 Latin America

🧭 Full-Time

🔍 Software Development

🏢 Company: EX Squared LATAM

🔧 Requirements

5+ years of experience in Machine Learning or Data Science roles
Proficiency with Python and ML frameworks such as TensorFlow, PyTorch, or Hugging Face
Deep understanding of Elasticsearch/OpenSearch, search ranking, and indexing strategies
Experience working with vector databases and semantic search architectures
Strong experience with Docker, Kubernetes, and cloud environments (AWS, GCP, or Azure)
Familiarity with MLOps tools such as MLflow, Weights & Biases, Airflow, or Kubeflow
Understanding of data pipelines, versioning, and deployment practices
Experience with natural language processing (NLP) and embedding models (e.g., BERT, SBERT, OpenAI) is a plus

💡 Responsibilities

Design and implement search relevance models using deep learning and semantic embedding techniques
Build and manage scalable data pipelines for text/vector indexing using Elasticsearch and OpenSearch
Integrate and optimize vector databases (e.g., Faiss, Pinecone, Weaviate, Milvus) to support semantic search and recommendation engines
Deploy and maintain ML models in production using Python, TensorFlow/PyTorch, FastAPI, Docker, and Kubernetes
Collaborate with data engineers and platform teams to manage ETL workflows, feature stores, and model registries
Monitor performance of deployed models and drive continuous improvement through experimentation and retraining
Implement automated evaluation pipelines for search quality metrics (precision, recall, MRR, NDCG)
Contribute to the evolution of a scalable ML infrastructure across distributed environments

AWS Docker Python SQL Apache Airflow ElasticSearch ETL GCP Kubernetes Machine Learning MLFlow PyTorch Algorithms API testing Azure Data engineering FastAPI REST API Tensorflow CI/CD JSON Data visualization Data analytics

Posted 7 days ago

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🔥 Fullstack Data Engineer - Woman/Man/Non Binary

Posted 7 days ago

📍 France

🧭 Full-Time

🔍 Data Engineering

🏢 Company: Filigran

🔧 Requirements

You’ve already trained and deployed machine learning models in production environments
Proficient in Python, and familiar with its full-stack usage (packaging, logging, FastAPI, Flask)
Strong autonomy: you can take a scoped project and drive it independently
Solid understanding of software engineering best practices: versioning, code reviews, pair programming
Product-oriented mindset: you care about UX, data value, and user outcomes

💡 Responsibilities

Design and prototype ML models and AI features (e.g. Named Entity Recognition for CTI enrichment)
Translate concepts into PoCs and MVPs to validate value
Maintain and improve our growing AI/ML pipelines
Collaborate closely with engineers to ensure smooth downstream integration into our open-source platforms
Conduct technical watch and apply state-of-the-art practices
Contribute to the growth of our enterprise data platform
Ensure code quality, reliability and test automation via reviews and collaboration

Docker Python SQL Apache Airflow Flask Git Kubernetes Machine Learning MLFlow Numpy Data engineering FastAPI REST API Pandas CI/CD Data visualization Data modeling Software Engineering

Posted 7 days ago

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🔥 Python Tech Lead - LATAM

Posted 8 days ago

📍 Colombia, Peru, Argentina

🧭 Full-Time

🔍 Music

🏢 Company: BMAT Music Innovators

🔧 Requirements

Strong Python skills
Strong knowledge of MongoDB
Experience designing distributed systems
Experience leading projects or teams

💡 Responsibilities

Lead and own projects or teams
Make technical decisions
Mentor others

AWS Backend Development Leadership Python Software Development Django ElasticSearch Kubernetes MongoDB Rabbitmq Software Architecture Data Structures FastAPI CI/CD Mentoring DevOps

Posted 8 days ago

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