AI Agent Engineer
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Ahmedabad Office
Reporting to
Jay Desai
Hours
Full-time
Monday to Friday
12:30 PM - 10:00 PM
About the Role
About Nourma
We’re building the AI-powered finance operating system that transforms how companies manage their financial operations. Our Decision Intelligence platform combines LLMs, multi-agent systems, and real-time data integration to create an intelligent finance team
The Role
We’re seeking an AI/ML Engineer with deep expertise in LangChain, LlamaIndex, PydanticAI, and modern Python frameworks to architect and build the core intelligence layer of Nourma.
LLM Orchestration & RAG Development (LangChain/LlamaIndex/PydanticAI Focus)
- Architect complex LangChain pipelines for multi-agent financial workflows
- Build production RAG systems using LlamaIndex for financial document retrieval
- Implement agents with strong type safety and structured outputs
- Design and implement:
- Chain-of-thought reasoning for financial analysis
- Dynamic prompt routing based on query complexity
- Memory management for long-running financial conversations
- Tool integration for agents to access GL, bank feeds, and operational data
- Optimise token usage and response latency for real-time WhatsApp interactions
API Development & Integration (FastAPI Focus)
- Build high-performance FastAPI services for:
- Agent-to-agent communication protocols
- WhatsApp webhook processing with sub-second response
- Real-time financial data APIs for frontend consumption
- Design GraphQL schemas for flexible financial data queries
- Implement WebSocket connections for live financial updates
- Create robust error handling and retry mechanisms for financial integrations
Vector Database & Semantic Search (Chroma Focus)
- Design and optimise Chroma collections for:
- Financial document embeddings (loan agreements, invoices)
- Conversation history and context retrieval
- Business logic and rule storage
- Implement hybrid search combining vector similarity and metadata filtering
- Build embedding pipelines for various document types (PDFs, emails, chat logs)
Infrastructure & Scalability
- Deploy and manage LLM applications.
- Implement Redis caching strategies for LLM responses and financial data
- Design microservices architecture for agent deployment
- Set up monitoring and observability for AI pipelines
Must Have – Core Technologies
- Expert-level proficiency in:
- LangChain: Custom chains, agents, tools, memory systems
- LlamaIndex: Document stores, indices, query engines
- PydanticAI: Agent frameworks, type-safe LLM interactions, structured outputs
- FastAPI: Async programming, dependency injection, middleware
- Strong experience with Python async/await patterns
- Production experience with Chroma or similar vector databases
- Proficiency with Redis for caching and session management
- Experience with data pipeline and storage tools (Kafka, Spark, Airflow) for building scalable systems
Nice to Have
- Knowledge of PostgreSQL and BigQuery for analytical workloadsUnderstanding of financial data structures (journal entries, chart of accounts)
- Experience with financial APIs (QuickBooks, Xero, Plaid, banking APIs)
- Knowledge of data consistency requirements for financial systems
- GraphQL schema design and optimisation
- Experience with WhatsApp Business API
- Background in fintech or accounting software
Tech Stack
- LLMs: GPT-4, Claude, open-source models
- ML/AI: LangChain, LlamaIndex, PydanticAI, PyTorch, Transformers
- Vector DB: Chroma
- Data: PostgreSQL, BigQuery, Apache Kafka, Spark, Airflow
- APIs: FastAPI, GraphQL
- Infrastructure: AWS/GCP, Kubernetes, Docker, Redis
- Monitoring: Prometheus, Grafana, OpenTelemetry
- Work on cutting-edge problems combining LLMs with real-time financial data
- Build systems processing millions of financial transactions
- Direct impact on how thousands of companies manage finances
- Work directly with founders and shape technical direction
You’re excited about:
- Building production LangChain and PydanticAI applications at scale
- Creating high-performance APIs that power AI agents
- Designing scalable architectures for financial data processing
- Working with cutting-edge LLM technologies
You’ve probably:
- Built production LangChain/LlamaIndex/PydanticAI applications serving 1000+ users
- Created FastAPI services handling high-throughput LLM requests
- Worked with vector databases in production environments
- Designed data processing pipelines for financial or similar domains
- Contributed to open-source AI/ML projects
- Hours: 12:30 PM – 10:00 PM IST
- Location: Ahmedabad office
- Reporting: Direct reporting to Jay Desai
- UK Work Culture: Be part of a collaborative environment inspired by the best of UK work culture.
- 12 Fixed Holidays Per Year: Enjoy a generous holiday package.
- 18 Casual Leaves Per Year: Take time off for personal matters when needed.
- 14 Work from Home Days Per Year: Flexibility to work from home.
- Pantry with Hot Snacks: Enjoy snacks to fuel your day.
- Best in Class Infrastructure: Work in a top-tier office with excellent facilities.
- Dinner Is On Us: We treat the team to a meal!
- Competitive salary based on experience.
- Professional development opportunities, including certifications.
- A dynamic, supportive team environment.
We’re excited that you’re interested in joining Unreconciled! To move forward in our hiring process, please follow these steps:
01
Fill out the Interview Form with your details and career background.
02
Complete the online test to assess your general and technical skills.
03
Once both steps are completed, our team will review your application and reach out if you qualify for the next stage.
