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

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

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

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

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

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

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

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

This role offers the opportunity to work at the intersection of Artificial Intelligence Software Engineering Document Intelligence Data Engineering and Cloud Technolo

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”):

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid 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.

The compensation and benefits information provided herein is accurate as of the date of this posting.

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.

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