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Software Engineer AI

Trigent Software Private Limited

Full time On-site
Experience
5 years
Location
India
Work mode
On-site
Salary
₹10–15 LPA
Posted 1 day ago

Job description

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
  • Strong ability to write clean, maintainable, production-grade code with test coverage
  • Strong 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)

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