Description :

Job Title : Full Stack AI Engineer

Location : Pune / Mohali / Hyderabad

Job Summary :

Clients team is responsible for the platforms, processes, and practices that power AI across the organization. This role goes beyond traditional delivery-your decisions influence how data is transformed into intelligent, scalable solutions used by teams company-wide. We require AI fluency because this role sits at the intersection of data, technology, and business outcomes. That means understanding how AI systems are designed and operationalized, using AI-enabled tools in day-to-day work, and partnering effectively with engineering, analytics, and business teams to ensure AI solutions are reliable, responsible, and impactful.

In addition to your resume, all candidates are required to include a short video (2-5 min) demonstrating how you have used AI tools in your engineering workflow - code generation, debugging, architecture, documentation, or similar. We recommend recording with Loom (free) or uploading as an unlisted YouTube video.

Please embed this link at the top of your resume. Applications without a video link will not be reviewed.

Job Description :

About the Role :

We're seeking a Full Stack AI Engineer who can design, build, and ship AI-powered products end-to-end - from data layer to user interface. This role is for a builder who thrives at the intersection of modern app engineering and applied AI, and who wants to create products that directly improve how real estate assets are managed, leased, and optimized across a multi-billion dollar global portfolio.

You will work across the stack - building performant frontend experiences, robust backend services, and integrating AI/ML capabilities including LLMs, predictive models, and intelligent automation. You'll ship features that are used by property managers, owners, investors, and residents. Our team includes engineers, designers, and product leaders with experience from Google, Microsoft, Airbnb, Strava, Amazon, and more.

What Youll Do :

Build AI-Powered Products End-to-End :

- Design and implement full stack features across our digital products including GPS (our asset management platform) and internal AI tools.

- Build and integrate AI/ML capabilities into production applications - including LLM-powered workflows, MCP tool integrations, retrieval-augmented generation (RAG), and predictive analytics.

- Own features from concept through deployment : frontend UI, API design, backend services, data pipelines, and AI model integration.

- Rapidly prototype and iterate on AI-driven features, moving from proof of concept to production with speed and quality.

Engineer for Scale and Performance :

- Build responsive, accessible frontend interfaces using modern frameworks (React/Next.js or similar).

- Design and implement scalable backend services and APIs (Python, Node.js, or similar) that serve both human users and AI agents.

- Work with cloud infrastructure (Azure preferred) including serverless functions, container orchestration, and managed AI/ML services.

- Ensure production systems are reliable, observable, and secure - with appropriate monitoring, logging, and error handling.

Collaborate and Ship :

- Partner with Product Management, Design, Business owners, and Data Engineering to define and deliver high-impact features.

- Participate in architectural decisions that affect the broader platform, advocating for simplicity, maintainability, and AI-readiness.

- Collaborate with other engineers on AI integration patterns, prompt engineering, and modern development practices. We are an AI forward team and its moving fast so we test, iterate, share and repeat.

What You Bring :

Engineering Excellence :

- 5+ years of professional software engineering experience shipping production applications.

- Strong proficiency in both frontend (React, TypeScript, modern CSS) and backend (Python, Node.js, or Go) development.

- Deep experience with AI coding tools like Cursor, Codex, Claude Code, etc.

- Experience designing and building RESTful APIs, microservices, and event-driven architectures.

- Solid understanding of relational and non-relational databases, caching strategies, and data modeling.

- Experience with CI/CD pipelines, infrastructure as code, and cloud platforms (Azure preferred, AWS/GCP acceptable).

AI/ML Integration :

- Hands-on experience integrating LLMs (OpenAI, Anthropic, or similar) into production applications - including prompt engineering, function calling, and agent workflows.

- Familiarity with RAG architectures, vector databases, embedding models, and MCP (Model Context Protocol) or similar tool-use patterns.

- Understanding of when to build vs. buy AI capabilities and how to evaluate AI vendor tools critically.

- Personal projects or portfolio demonstrating AI-powered applications youve built - we want to see what youve shipped.

Domain Knowledge (Preferred) :

- Experience in real estate, property management, or asset management is a strong plus.

- Familiarity with marketplace or multi-sided platform products.

- Experience working in data-intensive environments where data quality and governance matter.

Mindset & Communication :

- AI-first mindset - you naturally look for opportunities to automate, augment, and accelerate with AI in your daily work and product development. Well want to see something you built on the side as a passion project.

- Strong written and verbal communication skills; able to explain technical trade-offs to non-technical stakeholders.

- Comfort with ambiguity and a bias toward shipping iteratively over waiting for perfection.

- Collaborative approach; you work well across product, design, data, and business teams.

Tools & Technologies :

- Proficient with modern development tools : Git, Linear (or similar), VS Code/Cursor.

- Experience with Databricks, Snowflake, or similar data platforms is a plus.

- Knowledge of cloud platforms (Azure preferred), containerization (Docker/Kubernetes), and modern DevOps practices.

- Familiarity with design systems and component libraries; able to collaborate effectively with designers.

Company Description : Bits in Glass - India :

Bits in Glass is a leading software consulting firm specializing in innovative data solutions and enterprise applications.

Industry Leader :

Bits in Glass(BIG) has been in business for more than 20 years. In 2021 Bits in Glass joined hands with Crochet Technologies, forming a larger organization under the Bits In Glass brand to better serve customers across the globe.

- Offices across three locations in India : Pune, Hyderabad & Chandigarh.

- Specialized Pega partner since 2017, delivering Pega solutions with deep industry expertise and experience.

- Proudly ranked among the top 30 Pega partners, Bits In Glass has been one of the very few sponsors of the annual PegaWorld event.

- Elite Appian partner since 2008, delivering Appian solutions with deep industry expertise and experience.

- Operating in the United States, Canada, United Kingdom, and India.

- Dedicated global Pega CoE to support our customers and internal dev teams.

- Specializes in Databricks, AI, and cloud-based data engineering to help companies transition from manual to automated workflows.

Employee Benefits :

- Career Growth : Opportunities for career advancement and professional development.

- Challenging Projects : Work on innovative, cutting-edge projects that make a global impact.

- Global Exposure : Collaborate with international teams and clients to broaden your professional network.

- Flexible Work Arrangements : Support for work-life balance through flexible working conditions.

- Comprehensive Benefits : Competitive compensation packages and comprehensive benefits including health insurance, and paid time off.

- Learning Opportunities- Great opportunity to upskill yourself and work on new technologies like AI-enabled Pega solutions, Data engineering, Integration, cloud migration etc.

Company Culture :

- Collaborative Environment : Emphasizes teamwork, innovation, and knowledge sharing.

- Inclusive Workplace : Values diversity and fosters an inclusive environment where all ideas are respected.

- Continuous Learning : Encourages professional development through ongoing learning opportunities and certifications.

Core Values :

- Integrity : Commitment to ethical practices and transparency in all business dealings.

- Excellence : Strive for the highest standards in everything we do.

- Client-Centric Approach : Focus on delivering the best solutions tailored to client needs.