About the Role:

We are looking for an experienced Applied AI Engineer to build and deploy intelligent AI systems that solve complex business problems.

The role focuses on developing production-ready LLM applications and AI agents capable of processing large volumes of financial and legal documents, retrieving relevant information, and generating accurate, evidence-backed insights.

You will work across AI agent development, backend engineering and evaluation systems, taking ownership of features from initial design through production deployment.

Key Responsibilities:

- Design and develop LLM-powered applications and stateful, multi-agent workflows.

- Build AI agents that can process, analyse and reason across complex document collections.

- Work with LLMs, embeddings, retrieval systems and context management.

- Develop backend services, APIs and database integrations to support AI capabilities.

- Build evaluation frameworks, test datasets and feedback mechanisms to improve system accuracy.

- Monitor, debug and optimise AI systems running in production.

- Maintain traceability of AI outputs, tool calls and supporting evidence.

- Evaluate emerging AI models and techniques and integrate them where they improve product performance.

Mandatory Technical Requirements:

- Minimum 3 years of professional software engineering experience.

- Proven experience building and shipping LLM-based systems to production.

- Strong understanding of LLM architecture, embeddings and retrieval mechanisms.

- Hands-on experience with Python and AI agent development.

- Understanding of multi-agent workflows, tool calling, context and state management.

- Experience developing backend services, APIs and databases.

- Working knowledge of TypeScript, GraphQL and PostgreSQL.

- Experience building evaluation pipelines, automated testing and feedback loops.

- Previous experience in a product-based company is mandatory.

Good to Have:

- Experience handling scanned documents, OCR, long PDFs and complex tables.

- Exposure to financial, legal, lending or insurance documents.

- Experience with model fine-tuning techniques such as LoRA and RLHF/RLAIF.

- Experience with DSPy or graph-based data modelling.

Educational Qualification:

- Candidates with 5+ years of experience: B.Tech in any engineering branch.

- Candidates with 3 - 5 years of experience: B.Tech in Computer Science Engineering (CSE) only.

- Graduates from Tier-1 engineering colleges preferred.

Important Screening Criteria:

This role requires practical production experience with LLM-based systems. Candidates with only theoretical AI/ML knowledge, academic projects or basic chatbot development experience will not meet the core requirements.

Please apply only if you meet the mandatory experience, educational, technical and product-company criteria.