Key Responsibilities

- Design and develop agentic AI workflows — multi-step, multi-tool systems with memory, planning, and human-in-the-loop checkpoints — using the frameworks and model providers best suited to each use case

- Build and maintain AI-powered solutions for finance and accounting use cases, spanning code-first services and low/no-code platforms as appropriate

- Mentor three early-career AI engineers through daily pairing, design review, and code review — developing them into independent solution owners is a core responsibility of this role, not a side duty

- Develop Python-based automation and AI integration code — well-structured, tested, production-ready

- Engineer prompt templates, retrieval-augmented generation (RAG) patterns, and evaluation frameworks for enterprise use cases

- Connect AI pipelines to ERP and enterprise data — REST/OData APIs, data entities, SQL

- Contribute to AI architecture decisions and architecture decision records alongside the US-based AI Engineering Lead, collaborating effectively across time zones

- Support organization-wide AI adoption — demos, office hours, and internal upskilling content

Required Qualifications

- 5+ years of software engineering experience with 2+ years in AI engineering or enterprise AI solution delivery

- Hands-on experience building against modern LLM APIs (e.g., OpenAI, Anthropic, Azure OpenAI, Google) — completions, embeddings,



tool/function calling, structured outputs

- Experience building agentic systems — tool use, memory management, orchestration — with one or more frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, Microsoft Agent Framework, or equivalent in-house patterns)

- Proficiency in Python — async patterns, API clients, data processing, testing

- Experience with RAG architectures — vector stores, embedding pipelines, retrieval strategies

- Demonstrated experience mentoring or leading early-career engineers

- Robust ability to write clean, maintainable, production-grade code with test coverage

- Solid written and verbal English communication for asynchronous collaboration with US-based leadership and stakeholders

Preferred Qualifications

- Experience with the Microsoft AI stack — Azure AI Foundry, Azure OpenAI, Copilot Studio, Power Platform

- Familiarity with enterprise ERP data structures and API patterns (Microsoft Dynamics 365 Finance & Operations, SAP, Oracle, or similar)

- Experience with AI evaluation and observability tooling — eval harnesses, tracing, model comparison

- Relevant cloud or AI certifications (any major provider)

- Background in finance, accounting, or ERP process automation

- Experience working in a globally distributed engineering team (US + India delivery model)

📌 Software Engineer AI (Bengaluru)
🏢 Trigent Software
📍 Bengaluru