AI Engineer

About the role

Design, develop, and deploy scalable AI-powered applications and services. Translate ambiguous business problems into robust technical solutions. Build and maintain backend systems, APIs, integrations, and AI workflows. Collaborate across frontend, backend, cloud, and AI initiatives to deliver end-to-end solutions. Rapidly prototype and iterate on AI-driven products and internal accelerators. Contribute to architecture decisions, engineering standards, and reusable system patterns. Mentor junior engineers and support technical growth across the team. Drive improvements in scalability, reliability, performance, and developer experience. Work closely with stakeholders to balance business needs, technical trade-offs, and delivery timelines. Continuously evaluate and adopt emerging AI tools, frameworks, and engineering practices. Strong professional experience with Python and backend engineering. Experience designing and building scalable APIs and distributed systems. Hands-on experience building AI/LLM-powered applications or automation workflows. Experience working with cloud platforms such as AWS. Frontend experience with React or similar technologies is a plus. Exposure to Snowflake or modern data platforms is a plus. Strong understanding of software architecture, system design, and engineering best practices. Ability to navigate ambiguity and adapt quickly to changing environments. Strong communication and collaboration skills. Experience mentoring engineers or leading technical initiatives is valued. AI-first mindset with interest in leveraging AI tools to accelerate development workflows. What about languages? Advanced English level is required for daily communication with global teams and stakeholders. How much experience must I have? 3+ years of professional software engineering experience. Previous experience building production-ready systems and collaborating in cross-functional engineering environments. 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 a Senior AI Engineer to contribute to our next level of growth and expansion. What is this position about? We are seeking highly adaptable engineers with strong system-thinking capabilities to help build and scale AI-powered platforms and applications. This role is focused on engineers who thrive in ambiguity, can quickly adapt to changing priorities, and are comfortable working across multiple technologies and layers of the stack. The ideal candidate combines strong software engineering fundamentals with hands-on experience building production-ready systems and AI-enabled solutions. The team primarily works with Python, AI/LLM technologies, and modern cloud-native architectures. Experience with React, AWS, and Snowflake is highly valued but not strictly required, as adaptability and learning agility are considered more important than expertise in a single technology. Originally posted on Himalayas