About the Role:

We are looking for a passionate and hands-on Full Stack AI Engineer to drive AI initiatives across the organization. This role involves identifying AI opportunities with business teams, developing AI agents and Generative AI solutions, building enterprise AI applications, and integrating AI capabilities with core business systems to improve productivity and decision-making.

The ideal candidate should have experience in Generative AI, AI Agents, Full Stack Development, AWS AI services, Data Engineering, and enterprise application integrations.

Role & responsibilities:

- Partner with business stakeholders to identify, analyze, and prioritize AI, automation, and productivity improvement opportunities.
- Gather requirements and translate business challenges into scalable AI and data-driven solutions.
- Design, develop, and deploy AI applications, AI agents, chatbots, copilots, and Generative AI solutions.
- Build and implement RAG solutions using organizational data, embeddings, and vector databases.
- Develop modern web applications and user interfaces for AI-powered solutions.
- Integrate AI solutions with ERP, CRM, HRMS, databases, APIs, and other enterprise systems.
- Build APIs, reusable components, and proof-of-concepts (PoCs) to accelerate AI adoption.
- Develop and maintain data models, data pipelines, and analytics solutions.
- Monitor, optimize, and continuously improve the performance, scalability, and accuracy of AI solutions.

Required Skills & Platforms

- 2-5 years of experience in AI Engineering, Generative AI, Machine Learning, Data Engineering, or related fields.
- Proven experience building enterprise AI solutions that improve productivity, automate workflows,



and integrate with business applications.
- Strong programming skills in Python, SQL, JavaScript, and REST APIs.
- Experience developing web applications using React, Next.js, Angular, Vue.js, or similar frameworks.
- Experience developing backend services using FastAPI, Flask, Node.js, or similar technologies.
- Hands-on experience with LLMs, Generative AI, AI Agents, RAG, Embeddings, Vector Databases, and Prompt Engineering.
- Experience building AI-powered chatbots, copilots, knowledge assistants, and workflow automation solutions.
- Experience with LangChain, LangGraph, CrewAI, MCP (Model Context Protocol), or similar AI frameworks.
- Experience developing APIs and integrating AI solutions with enterprise applications, databases, and third-party systems.
- Experience with AWS AI & Data Services, including Amazon Bedrock, Amazon Q, SageMaker, Lambda, S3, RDS, OpenSearch (Vector Search), QuickSight, Athena and related services for building enterprise AI solutions.
- Experience in data modelling, data engineering, and building scalable data pipelines.
- Strong analytical, problem-solving, communication, and stakeholder management skills with the ability to identify AI opportunities and translate business requirements into practical AI solutions.

Qualifications

- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related field.
- 2-5 years of experience in AI, Machine Learning, Data Engineering, Analytics, Full Stack Development, or Software Development.
- Proven experience delivering AI, Analytics, Data Engineering, or Generative AI solutions in a professional workplace

📌 Full Stack AI Engineer (Bengaluru)
🏢 Wesource Business Solutions
📍 Bengaluru