Full Stack Engineer

PwC Acceleration Center India; Bengaluru; On-site; INR 1,500,000 - 2,000,000; Full time

Benefits offered by this job

Collaborative work environment

Exposure to cutting-edge AI technologies

Continuous learning opportunities

Job summary

A leading consulting firm in India is seeking a Full Stack Engineer to join their AI Engineering team. Responsibilities include developing scalable web applications and collaborating on AI-driven solutions. The ideal candidate will have 3-7 years of experience, proficiency in Python, and a strong background in full-stack development. Join a culture focused on innovation and continuous learning.

Qualifications

• 3-7 years of experience in full-stack engineering.
• Strong Python development skills using frameworks such as FastAPI, Flask, or Django.
• Experience with cloud platforms like AWS.

Responsibilities

• Develop scalable web applications and APIs using Python and modern frontend frameworks.
• Collaborate with product teams to deliver innovative AI-driven solutions.
• Integrate third-party APIs and model-hosting platforms.

Skills

Python development

Full-stack engineering

RESTful API design

GraphQL API design

Database proficiency

Education

Bachelor's degree in Computer Science or related field

Tools

React.js

Django

AWS services

FastAPI

Job description

Join to apply for the Full Stack Engineer role at PwC Acceleration Center India

PwC AC is hiring for Full Stack Engineer

Job Title: Full Stack Engineer

Years of Experience: 3-7 years

Shift Timings: 11 AM-8PM

Qualification: 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).
• Collaborate closely with product teams to deliver GenAI/RAG-based solutions.
• Design backend services for 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.
• Solid understanding of RESTful and GraphQL API design.
• Experience with at least one cloud platform (AWS: Lambda, S3, SageMaker, EC2).
• Hands‑on experience building GenAI applications using RAG and agent frameworks.
• Database proficiency with PostgreSQL, SQL Server, MongoDB, DynamoDB, and 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

• 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.
• 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.
• 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 of the following certifications:

• Relevant AWS, Azure, or GCP certification in AI/ML services.
• Certified TensorFlow Developer / PyTorch Practitioner.
• CompTIA Security+, Certified Ethical Hacker (CEH).

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 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.

Referrals increase your chances of interviewing at PwC Acceleration Center India by 2x.