Full Stack Engineer

PwC AC is hiring for Full Stack Engineer Apply and get a chance to work with one of the Big4 companies #PwC AC. Job Tit le : Full Stack Engineer Years of Experienc e: 3-7 years Shift Timin gs: 11 AM-8PM Qualificati on: Graduate and above(Full time) About PwC CTIO ? EmTech PwC?s Commercial Technology and Innovation Office (CTIO) is committed to shaping the future of technology within the firm. The EmTech (Emerging Technologies) division pioneers next-gen AI/ML/GenAI solutions, explores groundbreaking technologies, and delivers scalable innovation. We blend engineering rigor with applied AI research to transform ideas into real-world impact. We are at the intersection of software engineering and AI innovation ? pushing boundaries in LLMOps , MLOps , and AI infrastructure to enable agile, secure, and scalable delivery of AI-powered products across domains. Role Overview We are looking for a skilled and proactive Full Stack Engineer to join our AI Engineering team. You will play a pivotal role in designing, developing, and scaling AI-driven web applications and platforms. This role is ideal for engineers who are passionate about blending full stack development skills with the emerging world of AI and machine learning, and who thrive in cross-functional, fast-paced environments. Key Responsibilities Develop and maintain scalable web applications and APIs using Python (FastAPI, Flask, Django) and modern frontend frameworks ( React.js, Angular.js ). Build intuitive, responsive UIs using JavaScript/TypeScript , CSS3 , Bootstrap , and Material UI for AI-powered products. Collaborate closely with product teams to deliver GenAI/RAG-based solutions . Design backend services for: Data pipelines ( Azure Data Factory , Data Lake , Delta Lake ) Model inference Embedding and metadata storage (SQL, NoSQL, Vector DBs ) Optimize application performance for AI inference and data-intensive workloads . Integrate third-party APIs, model-hosting platforms ( OpenAI , Azure ML , AWS SageMaker ), and vector databases . Implement robust CI/CD pipelines using Azure DevOps , GitHub Actions , or Jenkins . Participate in architectural reviews and contribute to design best practices across the engineering organization. Required Skills & Experience 3?7 years of professional full-stack engineering experience. Bachelor's degree in Computer Science, Engineering, or related technical field (BE/BTech/MCA) Strong Python development skills, particularly with FastAPI , Flask , or Django . Experience with data processing using Pandas . Proficient in JavaScript/TypeScript with at least one modern frontend framework ( React , Angular ). Solid understanding of RESTful and GraphQL API design. Experience with at least one cloud platform: Azure : Functions, App Service, AI Search, Service Bus, AI Foundry AWS : Lambda, S3, SageMaker, EC2 Hands-on experience building GenAI applications using RAG and agent frameworks . Database proficiency with: Relational databases: PostgreSQL, SQL Server NoSQL databases: MongoDB, DynamoDB Vector stores for embedding retrieval Familiarity with LLM orchestration tools : LangChain, AutoGen, LangGraph, Crew AI, A2A, MCP Understanding of Responsible AI practices and working knowledge of LLM providers (OpenAI, Anthropic, Google PaLM, AWS Bedrock) Good to Have Skills DevOps & Infrastructure : Terraform, Kubernetes, Docker, Jenkins MLOps capabilities : model versioning, inference monitoring, automated retraining Security experience with OpenID Connect , OAuth2 , JWT Deep experience with data platforms: Databricks , Microsoft Fabric Prior experience in AI/ML R&D or working within cross-functional product teams Soft Skills & Team Expectations Effective communication and documentation skills; ability to clearly articulate technical concepts to both technical and non-technical audiences. Demonstrated ability to work independently as well as collaboratively in a fast-paced environment. A builder's mindset with a powerful desire to innovate, automate, and scale . Comfortable in an agile, iterative development environment. Willingness to mentor junior engineers and contribute to team knowledge growth. Proactive in identifying tech stack improvements, security enhancements, and performance bottlenecks. Preferred Certifications (at least two are preferred) Cloud Certifications (Azure, AWS, GCP) ? e.g., Azure DevOps Engineer , AWS Certified ML Specialist , GCP Professional ML Engineer Docker/Kubernetes/Cloud Native certifications (CKAD, CKA, etc.) Why Join PwC CTIO? Work at the cutting edge of AI engineering , deploying real solutions at production scale. Collaborate with visionary AI researchers , engineers, and product leaders to redefine what is possible. Be part of a team that values both rapid experimentation and engineering excellence . Gain exposure to LLMOps and GenAI infrastructure at an enterprise scale. Join a culture that encourages continuous learning, bold thinking , and inclusive innovation .