Fullstack AI Engineer

• Collaborate with cross-functional teams to design and build AI-powered applications and internal platforms.

• Contribute to backend services, APIs, integrations, and frontend components when needed.

• Support the development and deployment of scalable AI and LLM-based solutions.

• Translate business and technical requirements into functional solutions.

• Rapidly prototype, test, and iterate on new ideas and AI use cases.

• Work in fast-changing environments with evolving priorities and technologies.

• Contribute to reusable engineering patterns, internal tooling, and shared components.

• Participate in code reviews, technical discussions, and collaborative problem-solving.

• Learn and adopt new frameworks, cloud technologies, and AI tools as required by the project.

• Maintain high standards for code quality, collaboration, and continuous improvement.

• Strong professional experience with fullstack software development.

• Experience with Python development.

• Hands-on experience building frontend applications with React, TypeScript, JavaScript, or similar modern frameworks.

• Understanding of backend development concepts and API design.

• Experience working with cloud platforms such as AWS, Azure, or GCP.

• Exposure to AI/LLM applications, prompt engineering, or automation tools is a plus.

• Understanding of cloud-native architectures, deployment workflows, and modern engineering practices.

• Strong problem-solving and analytical thinking skills.

• Ability to adapt quickly to new technologies and changing requirements.

• Comfortable working in collaborative and fast-paced environments.

• Curiosity, ownership mindset, and willingness to continuously learn.

What about languages?

Advanced English level is required for written and verbal communication.

How much experience must I have?

• 3+ years of professional software Fullstack engineering experience preferred.

• Experience in AI projects is a plus.

Our perks and benefits:

🍔 Every day lunches! (headquarters):

• Vegetarian, vegan, gluten and sugar free options.

• Gourmet meals every Friday with our on-site chef!

⚖️ Flexible working options to help you strike the right balance.

👨🏽‍💻 All the equipment you need to harness your talent (Macbook and accessories).

☕ Snacks and beverages available everyday (headquarters).

🎮 After office events, football, tennis and game nights (headquarters).

⚽️ Everyone is welcome to join our football league every Wednesday’s and Friday’s.

Challenge your teammates to a pool game and win the office’s trophy! Tennis courts available for friendly matches.

Not a sports person? Don’t worry, we also have chess championships, game and music nights for you to join!

📚 Learning opportunities:

• AWS Certifications (we are AWS Partners).

• Study plans, courses and other certifications.

• English Lessons.

• Learn from your teammates on our Tech Tuesdays!

👩‍🏫 Mentoring and Development opportunities to shape your career path.

🎁 Anniversary and birthday gifts.

🏡 Great location and even greater teammates!

So what are the next steps?

Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com

We are seeking an Fullstack Engineer to contribute to our next level of growth and expansion.

What is this position about?

We are looking for adaptable and curious engineers who want to build AI-powered systems in a fast-moving environment where technologies, tools, and priorities evolve constantly.

This role is ideal for candidates with strong engineering fundamentals who enjoy solving ambiguous problems, learning quickly, and contributing across different parts of the stack. The team works on building scalable AI solutions, reusable components, and production-ready systems using modern engineering and AI technologies.

Python is the primary language used across the team, while React, AWS, and Snowflake exposure are considered valuable but not mandatory. Successful candidates will be comfortable learning new technologies as business needs evolve.

Originally posted on Himalayas