AI Agent Engineer

unreconciled


Date: 16 hours ago
City: Ahmedabad, Gujarat
Contract type: Full time
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.


Key ResponsibilitiesLLM 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
Technical RequirementsMust 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


What We Offer
  • 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

Ideal Candidate Profile

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


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