Overview
As an AI Lead Developer, you will develop AI-driven solutions across frontend, backend, data, and enterprise platforms, translating complex technical solutions into measurable business value.
What you'll do
- Develop frontend applications using ReactJS and Next.js.
- Build backend services and APIs in Python using FastAPI, with working knowledge of NodeJS or NestJS.
- Build and work with AI and LLM-based systems, including embeddings, intelligent analysis, and private or offline AI setups.
- Use vector databases such as OpenSearch or Chroma for similarity search and RAG-based solutions.
- Evaluate models, tune response accuracy, and apply hallucination reduction techniques.
- Handle structured and unstructured data using PostgreSQL and object storage platforms such as Azure Blob Storage, Azure Data Lake, or MinIO.
- Analyze data, build KPIs, and derive actionable insights using SQL and Python.
- Work with Git, CI/CD pipelines, security best practices, and enterprise-grade system design.
- Translate complex technical solutions into measurable business value.
- Build AI workflows such as RAG, agent-based systems, LLM-driven integrations, and scalable AI pipelines.
- Build AI-driven user interfaces using ReactJS and Next.js.
- Build KPIs, dashboards, and insights using SQL and Python.
- Explain complex AI and technical concepts in a simple, business-friendly manner.
What you'll need
- 4+ years of experience.
- Strong experience in frontend development using ReactJS and Next.js.
- Strong backend experience using Python with FastAPI for building AI services and APIs.
- Working knowledge of NodeJS or NestJS.
- Hands-on experience with AI and LLM-based systems, including embeddings and intelligent analysis.
- Experience with vector databases such as OpenSearch or Chroma for similarity search and RAG-based solutions.
- Practical exposure to model evaluation, response accuracy tuning, and hallucination reduction techniques.
- Good understanding of PostgreSQL and object storage platforms such as Azure Blob Storage, Azure Data Lake, or MinIO.
- Experience building KPIs, dashboards, and insights using SQL and Python.
- Experience with AI workflows such as RAG, agent-based systems, LLM-driven integrations, and scalable AI pipelines.
- Exposure to private or offline AI setups, including local LLM deployments.
- Background in Retail, Digital, or large-scale enterprise platforms.
- Familiarity with Git, CI/CD pipelines, security best practices, and enterprise-grade system design.
- Ability to analyze data and derive actionable insights using SQL and Python.
- Ability to explain complex AI and technical concepts in a simple, business-friendly manner.
- A strong problem-solving mindset.
Nice to have
- Experience with Agile methodologies and consulting.
Details
- Full-time position based in Bangalore, India.
- The ATS location is India - Remote.
- Remote and hybrid work options are available, country-dependent.
Read the full description and apply on the company’s own careers page.