SDE II - Agentic AI

ESG: ERP Engineering is part of the Enterprise Systems solutions. The role helps to automate processes and minimise the manual intervention of the users in the Finance systems.
Responsibilities:
Acts as an independent senior engineer, leveraging extensive experience to address complex problem statements with industry best practices.
This role involves analysing intricate issues, designing robust solutions, and ensuring alignment with organisational goals.
Demonstrates a strong commitment to continuous learning and mentorship, particularly in emerging technologies such as Agentic AI and Copilot Studio.
This includes staying updated with the latest advancements, experimenting with new tools, and guiding team members through the adoption of these technologies.
Exhibits excellent communication and collaboration skills, fostering a cohesive team environment.
This entails effectively conveying technical concepts to both technical and non-technical stakeholders, facilitating productive discussions, and working closely with team members to achieve common objectives.
Design, build, and deploy building LLM-powered applications, chatbots, and multi-agent systems to improve efficiency, accuracy, and decision-making in finance processes (invoice processing, expense categorisation, reconciliation, etc. ).
Implement and customise GenAI and multi-agent systems using AI frameworks such as LangChain, LangGraph, CrewAI, n8n, LlamaIndex, or similar.
Create, refine, and maintain prompt templates, chains, and workflows.
Integrate vector databases (MilvusDB, FAISS, Pinecone, Chroma, etc. ) for semantic search and memory.
Develop backend services and APIs to support AI models in production.
Ensure model explainability, accuracy, compliance, and alignment with finance policies.
Continuously monitor, evaluate, and retrain models to ensure sustained performance.
Closely collaborate with senior engineers to optimise inference costs and system efficiency.
Partner with cross-functional teams (Product, Data, Business, Engineering) to deliver end-to-end AI solutions.
Stay updated with emerging AI/ML technologies and recommend relevant innovations for the finance domain.
Participate in design reviews, sprint planning, and technical discussions.
Requirements:
Bachelor's or Master's in Computer Science, AI/ML, Data Science, or related field.
3-6 years of experience in software development with hands-on experience in Python, SQL, TensorFlow/PyTorch, and AI/ML frameworks.
Experience building LLM-powered systems, prompt design, RAG, vector search, and fine-tuning pipelines.
Experience building Agentic frameworks such as LangGraph, AutoGen, CrewAI, n8n or ReACT-style agents.
Hands-on experience building REST APIs, microservices, or backend systems.
Experience with Model Context Protocols (MCPs) building or integrating MCP tools, servers, or capabilities.
Good understanding of CI/CD, Docker and containerization.
Good understanding of data pipelines, APIs, and cloud platforms (Azure/GCP/AWS).
Strong problem-solving and analytical skills with the ability to work in agile environments.
Excellent communication skills to interact with both technical and business stakeholders.
Familiarity with finance systems (ERP, reconciliation, forecasting tools) is a strong plus.
Experience in deploying AI solutions in production for finance or enterprise domains.
Exposure to finance or enterprise systems such as SAP, Dynamics 365 Finance and Operations (D365FO), Oracle, or Salesforce.
Knowledge of compliance, data security, and audit requirements in financial systems.

Experience
3-7 yrs