Full-Stack Developer Jobs

Machine Learning

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🔥 Grupo QuintoAndar | Tech Lead Manager (AI Core Platform)

Posted about 2 hours ago

📍 Brazil

🧭 Full-Time

🔍 Software Development

🏢 Company: Grupo QuintoAndar

🔧 Requirements

Solid understanding of the engineering challenges of deploying machine learning systems to production;
Solid understanding of systems, software and data engineering best practices;
Proficiency with cloud-based services;
Proficiency in Python or another major programming language;
Have experience building backend systems, event driven architectures and rest/http applications
Have experience building solutions with LLMs (RAG, fine-tuning);
Have experience building AI agents and AI powered applications, familiarity with agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI);
Experience leading teams and managing careers.

💡 Responsibilities

Lead a small team of Data Scientists and Machine Learning Engineers to build solutions based on AI/ML.
Be a technical reference to the team, including doing hands-on engineering work.
Shaping the technical direction of our products, translating business requirements into solutions.
Discuss business requirements with the Product Manager and other stakeholders.

AWS Backend Development Docker Leadership Project Management Python Software Development SQL Artificial Intelligence Cloud Computing Kubernetes Machine Learning Software Architecture Algorithms Data engineering Data science Data Structures REST API Communication Skills CI/CD Agile methodologies RESTful APIs Excellent communication skills Problem-solving skills Team management Technical support Data modeling

Posted about 2 hours ago

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🔥 Grupo QuintoAndar | Tech Lead Manager (AI Core Platform)

Posted about 2 hours ago

📍 Portugal

🧭 Full-Time

🔍 Real Estate Tech

🏢 Company: Grupo QuintoAndar

🔧 Requirements

Solid understanding of the engineering challenges of deploying machine learning systems to production
Proficiency with cloud-based services
Proficiency in Python or another major programming language
Have experience building backend systems, event driven architectures and rest/http applications
Have experience building solutions with LLMs (RAG, fine-tuning)
Have experience building AI agents and AI powered applications, familiarity with agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI)

💡 Responsibilities

Lead a small team of Data Scientists and Machine Learning Engineers to build solutions based on AI/ML.
Be a technical reference to the team, including doing hands-on engineering work.
Shaping the technical direction of our products, translating business requirements into solutions.
Discuss business requirements with the Product Manager and other stakeholders.

AWS Backend Development Docker Leadership Python Software Development SQL Apache Airflow Cloud Computing Flask Kubernetes Machine Learning Numpy Data engineering Data science RDBMS REST API Pandas Communication Skills CI/CD RESTful APIs

Posted about 2 hours ago

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🔥 AI Software Engineer

Posted about 2 hours ago

📍 US, Canada, & Latin America

🧭 Full-Time

💸 105000.0 - 140000.0 USD per year

🔍 Software Development

🏢 Company: Superhuman

🔧 Requirements

You have 3-6+ years of software engineering experience, with 2+ years of AI-focused work.
You’re an expert in backend technologies such as Go or Python.
You have expertise in AI technologies such as working with ML models, LLMs, NLPs, fine-tuning, etc.
You have a strong foundation in software engineering principles that prioritize high-quality, maintainable code that adheres to best practices.
You're able to identify problems, propose solutions, and make informed decisions to drive forward our AI efforts.
You're comfortable dealing with ambiguity and can think critically to make decisions that benefit the company and our users.
You have a deep understanding of hosted and open-source models and algorithms.
You can leverage, implement, and optimize these models to solve complex problems and deliver value to our users.

💡 Responsibilities

Successfully implement AI features that enhance user experience and drive user engagement
Ensure all AI code released is robust, scalable, and maintainable
Stay at the forefront of AI technology and research, integrating relevant findings and technologies into our systems
Foster cross-functional collaboration, ensuring AI solutions align with overall company goals
Uphold ethical AI practices, ensuring our AI initiatives are responsible and respectful of user privacy

Backend Development Python Artificial Intelligence Machine Learning MLFlow Numpy Algorithms Go Tensorflow Software Engineering

Posted about 2 hours ago

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🔥 Principal Data Scientist - Pharma Media

Posted about 3 hours ago

📍 USA

🧭 Full-Time

🔍 Software Development

🏢 Company: Spring & Bond👥 11-50 Digital Marketing Advertising Digital Media Consulting

🔧 Requirements

Master’s degree in data science, Statistics, Mathematics, Computer Science, or related field (PhD preferred)
5+ years of analytics experience
Minimum of 4 years’ hands-on experience in machine learning and relational databases.
Proficient in data manipulation using SQL, Python, and/or similar programming languages.
Solid understanding of media metrics, digital/social analytics, ad technology, and TV ratings.
Strong project-management skills managing cross-functional workflows.
Proven ability to build and maintain client relationships.

💡 Responsibilities

Mentor data scientists, fostering collaboration and professional growth.
Develop and execute a data-science strategy aligned with company objectives.
Design, implement, and optimize predictive models and machine-learning algorithms.
Partner with software engineers, product managers, and business units to deliver client-facing solutions.
Leverage SQL, Python, and R-Shiny to extract insights from large numeric and textual datasets.
Manage model lifecycle: design, training, evaluation, validation, and deployment.
Translate complex analytical results into clear business recommendations and compelling visualizations.
Define and track key performance indicators (KPIs), ensuring data accuracy, integrity, and security.
Analyze digital trends, user behavior, and product performance.
Oversee digital data infrastructure in Snowflake to maintain data health and quality along with Data Engineering team.
Create and maintain technical documentation (system flows, data flows, architecture diagrams) in GitHub repository.
Support measurement strategies, including learning agendas, test plans, and frameworks.
Collaborate regularly with stakeholders to address digital data needs and challenges.
Educate research and business teams on data-best practices and infrastructure.

Python SQL Data Analysis Machine Learning Snowflake Algorithms Data science Data visualization Data modeling

Posted about 3 hours ago

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🔥 AI/ML Engineer - Build the Future, Not Just the Model

Posted about 4 hours ago

📍 United States

🧭 Full-Time

🔍 Marketplace

🏢 Company: CitizenShipper

🔧 Requirements

5+ years of experience in ML/AI (industry, startup, or serious research)
Has built and deployed ML systems at scale (not just notebooks)
Understands LLMs, embeddings, transformers, and how to bend them to your will
Is dangerously good with Python, vector DBs, and modern ML tooling
Has an instinct for product, not just precision

💡 Responsibilities

Build and ship models that solve real, high-leverage business problems
Own the entire ML lifecycle: framing → data → modeling → deployment → iteration
Architect data infrastructure and design pipelines that scale
Prototype fast, validate faster, deploy in the wild, and learn even faster
Explore LLM and agent-based systems for internal tooling and CX optimization
Push boundaries with real-time, production-grade AI — not sandbox toys

Python Machine Learning

Posted about 4 hours ago

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🔥 VP of R&D

Posted about 5 hours ago

📍 United States

🧭 Full-Time

🔍 Cloud Security

🏢 Company: Tamnoon.io

🔧 Requirements

10+ years in backend, infrastructure, or platform engineering with a strong R&D orientation; ideally 3+ in a leadership capacity.
Proven experience designing and shipping complex, secure systems in the cloud (AWS, GCP, or Azure).
Deep hands-on fluency with LLMs, retrieval-augmented generation (RAG), autonomous agents, and open-source AI tooling (e.g., LangChain, OpenAI/Anthropic APIs, vector DBs).
Track record of building and leading cross-functional, high-agency engineering teams that move fast and build for scale.
Strong product sense and ability to connect research breakthroughs with end-user value.
Excellent collaboration and communication skills—especially in remote, distributed environments.

💡 Responsibilities

Lead Technical Innovation at the Frontier
Define and execute a vision for embedding LLMs, agents, and decision systems into Tamnoon’s remediation workflows.
Architect AI-native components (e.g., secure retrieval pipelines, multi-agent orchestration, feedback loops) with performance, security, and explainability in mind.
Introduce and iterate on new AI features that give customers clarity, control, and confidence in automation.
Mentor and hire a diverse, high-performing team of full-stack, backend engineers, and machine learning individuals
Foster a culture of engineering excellence and ownership, where innovation thrives but reliability and security remain uncompromised.
Lead technical design reviews, research prototyping cycles, and production readiness processes.
Partner closely with Product and Security to translate vision into roadmap and roadmap into reality—without losing agility.
Shape technical direction through a deep understanding of both infrastructure risk and user pain.
Balance short-term impact and long-term investment across experimentation, core system improvements, and platform evolution.
Represent Tamnoon in technical due diligence, investor briefings, and AI/security thought leadership opportunities.
Stay on top of the latest in open-source AI, cloud architecture, and cybersecurity to bring the best ideas into the fold.

AWS Backend Development Docker Leadership Python Software Development SQL Artificial Intelligence Cloud Computing Cybersecurity Full Stack Development GCP Kubernetes Machine Learning People Management Product Management Software Architecture Cross-functional Team Leadership Algorithms Azure Data Structures CI/CD RESTful APIs

Posted about 5 hours ago

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🔥 Data Scientist – NLP & Real World Evidence (RWE) - Remote

Posted about 6 hours ago

📍 United States, Canada

🔍 Healthcare

🏢 Company: Veradigm👥 5001-10000💰 $100,000,000 Post-IPO Equity almost 10 years agoInformation Services Electronic Health Record (EHR)Hospital Information Technology Health Care

🔧 Requirements

Master’s degree in Data Science, Computer Science, Biomedical Informatics, or a related field.
Proficiency in Python and SQL.
Experience developing ML models, particularly with NLP techniques and libraries (spaCy, Scikit-learn, etc.).
Experience with Azure OpenAI or other large language models.
Familiarity with EMR systems, healthcare data standards (e.g. ICD-10, SNOMED).
Exposure to cloud environments and big data tools (e.g., Snowflake, Azure, Spark).
Demonstrated ability to work with clinical text and health data (e.g., EMRs).

💡 Responsibilities

Design, develop, and deploy NLP and ML models using Python to extract insights from unstructured and semi-structured clinical text.
Leverage Azure OpenAI and other LLM frameworks to enhance clinical data structuring and semantic understanding.
Partner closely with clinical subject matter experts to validate models, ensuring high precision and accuracy in clinical contexts.
Iterate on model development using feedback from real-world applications and clinician review.
Collaborate with Operations teams to design, implement, and optimize an end-to-end data science pipeline from R&D to production.
Ensure data integrity, reproducibility, and compliance with healthcare regulations and best practices.
Work with clients and stakeholders to identify key business problems and expected outcomes.
Explore and assess internal and external data sources to extract relevant features and patterns.
Communicate findings, methodologies, and actionable insights to both technical and non-technical audiences.

Python SQL Cloud Computing Data Analysis ETL Machine Learning Algorithms Azure Data science Data Structures CI/CD RESTful APIs Data visualization

Posted about 6 hours ago

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🔥 AI Adoption Lead - 3-Month Part-Time Contract

Posted about 6 hours ago

📍 Ukraine

🧭 Contract

🔍 Education

🏢 Company: ELVTR👥 51-100 Education E-Learning Training

🔧 Requirements

Hands-on experience with multiple LLMs, image/audio generators, and automation platforms.
Comfort with SQL / Python /Vibe coding for quick-and-dirty analytics and dashboarding.
Familiarity with data-privacy / governance frameworks (GDPR, SOC-2, ISO 27001).

💡 Responsibilities

Build a bite-sized “ELVTR AI Academy” (videos, live labs, cheat-sheets); run weekly office hours; host one knockout demo day per month.
For each department, identify the five biggest time-sinks and ship AI-augmented SOPs that slash ≥ 25 % off time-to-done.
Maintain our “Approved AI Stack,” balance wow-factor with security and cost, run rapid pilots, kill bad bets fast.
Launch a searchable library of prompts, templates, and case studies—refresh it weekly.
Own a lightweight exec dashboard (hours saved, quality lifted, dollars earned) and translate dry numbers into punchy narratives.
Work with the CEO to nurture an “AI-first” mindset, build a guild of department AI champions, celebrate wins, crush FUD, and keep experimentation fun.

Python SQL Artificial Intelligence Data Analysis Machine Learning Product Operations Azure Communication Skills Compliance Data visualization Data modeling Data analytics

Posted about 6 hours ago

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🔥 Engineering Manager - Noa:Notes team (100% remote-friendly within Poland)

Posted about 6 hours ago

📍 Poland

🧭 Full-Time

🔍 Software Development

🔧 Requirements

Very high sense of ownership
Passion for building robust products
Good understanding of Product and Business metrics
Demonstrated leadership experience in R&D, AI Solutions or related fields (nice to have).
Proven track record of working in a pioneering environment, especially within early-stage startups.
Strong team-building and leadership abilities, focusing on effective mentorship and coaching.
Solid technological expertise and background.
Exceptional project management skills, with experience overseeing projects from conception to completion, ensuring timely delivery, stakeholder management and alignment with business objectives.
Outstanding communication and interpersonal skills.
Highly autonomous and proactive in approach.
Experience with leading and coordinating multiple teams and departments (nice to have)
Growth mindset

💡 Responsibilities

Lead a team of 8 senior software engineers.
Facilitates technical decisions in a direction that meets the requirements.
Work closely with the team's technical and product leaders to develop an accurate technological and product strategy.
Facilitate communication within the team and across different areas to ensure alignment on project goals and objectives.
Manage external agencies supporting solutions development.
Develop project scopes and objectives that involve all relevant stakeholders and ensure technical feasibility.
Act as a hands-on project manager and people leader throughout the process.
Ensure that all projects are delivered on time, within scope, and budget.
Proper risk assessments and trade-off management
Support the go-to-market strategy.
Support the development of a platform and infrastructure strategy.
Collaborate with Data Scientists and ML/Ops teams to ensure effective coordination between teams.
Build strong relationships with stakeholders, tech leaders, product managers, and legal and security teams.
Provide guidance, mentorship, and coaching inside the team.
Provide regular feedback to team members and assist them in setting and achieving their personal career goals.
Regularly assess, support, and action the performance of team members.
Foster a team culture that values collaboration, innovation, and inclusivity.

Leadership Project Management Software Development Agile Artificial Intelligence Machine Learning People Management Product Management SCRUM Project Coordination Cross-functional Team Leadership Communication Skills Analytical Skills Mentoring Coaching Team management Stakeholder management Strategic thinking

Posted about 6 hours ago

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🔥 Senior Software Engineer (AI Products)

Posted about 7 hours ago

📍 United States

🧭 Full-Time

💸 118965.0 - 173250.0 USD per year

🔍 Software Development

🏢 Company: Karat👥 251-500💰 about 3 years ago🫂 Last layoff almost 2 years agoStaffing Agency Human Resources Recruiting

🔧 Requirements

7+ years developing and launching web applications/systems into production environments
Experience with or exposure to AI/ML technologies and understanding how they can enhance assessment and interviewing products
Experience integrating LLM APIs, familiarity with knowledge-enhanced language model pipelines, and ability to evaluate and improve AI feature performance
Strong proficiency in Ruby, Python, TypeScript/JavaScript, or similar languages with experience in modern web frameworks and REST and GraphQL API design
Experience with system architecture, database design, cloud infrastructure, and deployment technologies (AWS, GCP, or Azure)
Knowledge of software engineering best practices including CI/CD, testing strategies, and performance optimization
Ability to work effectively in cross-functional teams with excellent communication skills; can translate complex technical concepts for diverse stakeholders
Demonstrated ability to provide technical leadership, including mentoring teammates and driving technical decisions
Interest in technical interviewing, talent assessment, or educational technology is highly valued

💡 Responsibilities

Design and develop sophisticated full-stack systems that power our next-generation interview platform, incorporating AI capabilities where they add the most value.
Build scalable, production-ready infrastructure and services that maintain high standards of performance, reliability, and security.
Create intuitive interfaces and APIs that serve interviewers, candidates, and hiring teams effectively.
Collaborate with cross-functional teams (product managers, designers, data scientists) to translate complex requirements into elegant technical solutions.
Contribute to architecture decisions that balance innovation with reliability, ensuring our platform evolves while maintaining enterprise-grade stability.
Serve as a technical leader by sharing expertise across engineering teams, promoting best practices, and elevating the overall technical capability of the organization.
Balance short-term deliverables with long-term technical health, addressing both customer-facing features and foundational infrastructure.

AWS Backend Development Docker GraphQL Python SQL Full Stack Development GCP Javascript Kubernetes Machine Learning Ruby TypeScript Azure REST API CI/CD RESTful APIs NodeJS Software Engineering

Posted about 7 hours ago

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