About Saarthee: Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. Our diverse and global team work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations to wards insights fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India. Position: Software Engineer – AI Integration (Java / Python) Location: Gurugram Work Mode: Hybrid Min-Max Experience: 4-8 years Position Summary: We are looking for a Product Engineer who thinks beyond code — someone who understands how software translates into real product value for users. You will work on building, scaling, and evolving core product systems, owning features end-to-end — from design to production. This role combines backend engineering excellence with a product mindset, along with exposure to AI-driven capabilities integrated into real-world applications. Your Role Responsibilities and Duties: Backend Engineering: • Design, build, and scale backend systems and product features used by real customers • Own features end-to-end — from requirements to deployment and iteration • Translate product requirements into technical designs and high-quality implementations • Build and maintain REST APIs, microservices, and distributed systems • Ensure systems are scalable, reliable, and performant under high load • Write clean, maintainable, and testable code following best practices • Work closely with Product Managers, Designers, and QA to ship impactful features • Debug production issues and continuously improve system performance • Contribute to architecture decisions and long-term product roadmap AI Integration (Partial / Good to Have) AI Integration (Practical, Not Heavy Research): • Integrate AI/LLM APIs into backend workflows and product features • Build AI-enabled use cases like automation, recommendations, summarization, or chat flows • Handle AI outputs in production systems (validation, retries, fallbacks) • Work with data pipelines or structured/unstructured data supporting AI features • Collaborate with product teams to identify where AI adds real value Required Skills and Qualifications: Core Engineering: • Strong experience in Java (Spring Boot) OR Python • Solid understanding of data structures, algorithms, and system design • Experience building scalable backend systems and APIs • Strong knowledge of distributed systems and microservices architecture • Experience with databases like PostgreSQL, MySQL, MongoDB • Familiarity with cloud platforms (AWS/GCP/Azure) AI / GenAI Exposure (Nice to Have, not mandatory): • Basic experience working with LLM APIs • Understanding of AI integration in applications • Familiarity with tools like LangChain (optional)