Role & responsibilities

Technical Leadership

- Define and own the technical architecture for AI-powered applications using LLMs, RAG pipelines, and agent frameworks.
- Lead, mentor, and guide a team of developers to ensure high-quality, on-time delivery.
- Conduct regular code reviews, enforce coding standards, and maintain a culture of engineering excellence.
- Allocate tasks, set technical direction, and monitor progress across all active projects.

AI & Backend Development

- Build and integrate AI/ML solutions including LLM integrations, RAG architectures, and intelligent agent workflows.
- Design and develop the AI platform architecture: as an aggregator/orchestration layer that routes prompts across multiple LLMs (e.g. ChatGPT, Claude, Gemini, Grok, Perplexity) behind one interface.
- Architect the RAG framework ingestion, embeddings, vector storage and retrieval so prompts return accurate, business-specific answers.
- Work with vector databases, embeddings, and prompt engineering techniques for AI-based features.
- Develop, test, and maintain scalable backend services using Node.js, Python, and PHP (Laravel).
- Design and develop REST APIs; integrate third-party services and AI tools (OpenAI, Anthropic, open-source LLMs).
- Optimize performance of AI models, inference pipelines, and backend services for production workloads.

Frontend Development





- Design and build contemporary, responsive frontend interfaces using React.js / Vue.js and TypeScript.
- Collaborate with stakeholders and design teams to deliver intuitive, user-friendly experiences.

Domain & Collaboration

- Build AI solutions tailored for accounting, bookkeeping, and financial automation workflows translating business requirements into scalable technical solutions.
- Collaborate with internal stakeholders, CPA clients, and product teams to gather requirements and define technical roadmaps.
- Ensure comprehensive documentation of architecture, API contracts, and development workflows.
- Work with version control systems (Git) and follow best practices for branching, merging, and release management.

Preferred candidate profile

- Experience deploying AI applications to production at scale.
- Cloud experience AWS, Azure, or GCP (compute, storage, serverless, managed AI services).
- Familiarity with Docker and/or Kubernetes for containerized deployments.
- Experience with CI/CD pipelines (GitHub Actions, Jenkins, or similar).
- Exposure to fine-tuning or customizing open-source LLMs (Mistral, LLaMA, etc.).
- Prior experience or interest in fintech, accounting automation, or financial data workflows.

📌 Senior Software Developer (Gurugram)
🏢 Independent Recruitment Consultant (freelancer)
📍 Gurugram