Senior Software Developer, AI Agents and Document Processing

Role Description Senior Software Developer AI Agents Document Processing Role Overview 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 Key Responsibilities 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 Required Qualifications 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 Other Details Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity. Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits And Perks Comprehensive Medical Plan Covering Medical, Dental, VisionShort Term and Long-Term Disability Coverage401(k) Plan with Company matchLife InsuranceVacation Time, Sick Leave, Paid HolidaysPaid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.