Senior Software Developer AI Agents Document Processing

Client is seeking a Senior Software Developer to design develop and enhance backend platforms supporting AIenabled digital products The role focuses on LLMbased agents RetrievalAugmented Generation RAG document and image processing ETL pipelines APIs microservices reusable services and enterprise integrations This position is ideal for a handson backend engineer who can work across software development data engineering AI automation and cloud technologies to deliver scalable secure maintainable and productionready solutions, AI Agent Development Design build and maintain backend services for AIenabled applications Develop LLMbased agents RAG workflows toolcalling frameworks and automation pipelines Improve prompt performance retrieval quality grounding strategies and output accuracy Implement testing monitoring guardrails and evaluation mechanisms for AI solutions Document Image Processing Build document ingestion classification extraction transformation and generation pipelines Develop imageprocessing solutions using OCR metadata extraction and content enrichment Support processing of structured semistructured and unstructured data Enable document lifecycle automation and workflow orchestration Backend Engineering Integration Develop backend applications using Python TypeScript and modern frameworks Build APIdriven microservices connecting AI services applications and enterprise data sources Design and maintain ETL pipelines and data transformation workflows Develop reusable services APIs SDKs schemas and data contracts Deploy and manage containerized applications using Docker and cloudnative technologies Technical Leadership Collaborate with product application data and cloud engineering teams Provide technical guidance through design reviews and architecture discussions Create reusable implementation patterns templates and documentation Support application teams in adopting AI document processing and integration capabilities Operations Reliability Implement monitoring logging diagnostics and observability for backend services and pipelines Troubleshoot performance scalability reliability and integration issues Drive continuous improvement in solution quality operational stability and developer productivity Success Measures Within 612 months AI agents RAG capabilities documentprocessing services ETL workflows and integrations are successfully adopted across applications Document ingestion and transformation workflows are scalable resilient and observable Reusable APIs services and integration patterns accelerate product delivery Prompt frameworks schemas and data contracts are standardized and consistently used Integration defects and workflow bottlenecks are significantly reduced Recognized as a trusted technical contributor driving solution quality and innovation

Bachelors degree in Computer Science Engineering Information Technology or related field or equivalent experience 5 years of software engineering experience delivering enterprisegrade backend systems Strong proficiency in Python andor TypeScript Experience developing APIs microservices and distributed systems Familiarity with AI application architectures including LLMs RAG promptdriven workflows and agentbased automation Experience with cloud platforms enterprise integrations and Dockerbased deployments Strong analytical problemsolving and communication skills Experience with Gitbased development and Agile methodologies Preferred Qualifications Experience with document management and contentprocessing platforms Knowledge of vector databases semantic search embeddings metadata extraction content enrichment and ETL frameworks Experience improving AI reliability through evaluation frameworks guardrails grounding techniques structured outputs and observability Exposure to workflow orchestration document lifecycle management and eventdriven architectures Experience deploying and operating cloudnative microservices Understanding of distributed systems and enterprise integration patterns Experience supporting production applications through monitoring diagnostics and performance tuning Passion for improving developer experience through reusable frameworks tools and best practices Why Join This Role This role offers the opportunity to work at the intersection of Artificial Intelligence Software Engineering Document Intelligence Data Engineering and Cloud Technolo Skills: Mandatory Skills : Industrial AI - LLM, Llm Based Models

LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI - enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the