Software Engineer

CI/CD Gitlab FastAPI Equities Dashboard Debugging Terraform LangChain Operations Kubernetes PostgreSQL LlamaIndex Agentic AI Code Review Scalability Peer Review RESTful API Text Mining Spring Boot API Gateway Microservices Team Building Schema Markup Amazon Textract Vector Database Machine Learning Containerization Front End Design Security Controls Docker (Software) Enterprise Search Amazon CloudWatch Business Valuation Data Visualization AWS CloudFormation Prompt Engineering Token Optimization Workflow Management Process Improvement Amazon Web Services Process Engineering Document Processing Context Engineering Software Engineering Software Development Sprint Retrospectives Full Stack Development Technical Requirements Artificial Intelligence Large Language Modeling Angular (Web Framework) Business Transformation Event-Driven Programming SQL (Programming Language) Java (Programming Language) Vue.js (Javascript Library) Requirements Specifications Node.js (Javascript Library) Scrum (Software Development) Infrastructure as Code (IaC) Amazon Elastic Compute Cloud Model Context Protocol (MCP) React.js (Javascript Library) Python (Programming Language) Groovy (Programming Language) Retrieval Augmented Generation Enterprise Application Software Back End (Software Engineering) Microsoft Certified Professional Troubleshooting (Problem Solving) Application Programming Interface (API)

This role is part of a technical team building the next generation of document services that leverage OCR and Large Language Model (LLM) technologies to provide document transformation capabilities across the enterprise. The ideal candidate will design and develop scalable backend services that power intelligent document ingestion, extraction, and transformation workflows The candidate must bring a minimum of 5 years of professional software development experience and be conversant with Model Context Protocol (MCP), agentic tools, and AI-driven orchestration patterns. They will contribute to building systems where autonomous agents coordinate multi-step document processing pipelines from raw document intake through structured data extraction and downstream delivery. Job Profile Summary The Mid-Level Developer works under general supervision and will develop, test, debug, and document software components as part of a collaborative software engineering effort. This role focuses on backend development using Java and Python to deliver reliable, scalable services that integrate traditional software engineering with modern AI/ML capabilities. Technical Requirements Required Skills: RESTful API design and development AWS Core services: EC2, S3, Lambda, RDS, ECS, API Gateway QuickSight for dashboards and data visualization CloudWatch, CloudTrail, X-Ray for monitoring and troubleshooting IAM, Security services, VPC networking Infrastructure as Code (Terraform/CloudFormation) Programming & Development Java/Groovy, Spring Boot, Python, FastAPI Frontend. Either of Node.js, Angular, React, Vue.js Writing unit and integration tests RESTful API design and microservices architecture CI/CD pipelines (GitLab exposure preferred) Databases/SQL AWS Postgres Agentic AI & MCP Experience Familiarity with Model Context Protocol (MCP) for connecting AI models to external tools, data sources, and services in a standardized way Experience building or integrating tool-use frameworks that allow agents to invoke APIs, query databases, read/write files, and orchestrate downstream services Familiarity with prompt engineering, context management, and token optimization for production LLM workloads Nice to Have: Experience with OCR technologies (e.g., AWS Textract, Tesseract, etc) Experience with LLM frameworks such as LangChain, LlamaIndex, Bedrock Agents Familiarity with vector databases and retrieval-augmented generation (RAG) patterns Experience with message queues or event-driven architectures Containerization (Docker, Kubernetes) Experience with NoSQL databases AWS certification Key Responsibilities 1. Review and analyze process, system, and/or data requirements and specifications. 2. Design and implement backend components for one or more areas (subsystems) of a project, product, or program. 3. Build, test, deploy, and document software components for project and program-level solutions. 4. Participate in the creation of software engineering strategies that help identify and mitigate risks. 5. Participate in peer review of code, requirements, specifications, and software. 6. Document and communicate development status in a timely manner including metric reporting. 7. Collaborate in the resolution of defects. 8. Contribute to internal process improvement initiatives and provide feedback on processes. 9. Assist with adherence to technology policies and comply with all security controls. 10. Ensure all work products meet or exceed organizational standards. 11. Demonstrate organizational values through collaboration, both in-person and virtually, in furtherance of the organization’s mission. Additional Expectations: Ability to work both independently and collaboratively within a team to deliver high-quality enterprise software Experience supporting applications in areas such as text analytics, enterprise search, enterprise profiles, and enterprise alerts Participation in production releases Active involvement in Scrum activities including story refinement, sprint retrospectives, daily standups, and code reviews

Skills

aws, restful api, large language model, Python, react js, backend services, vue, mcp, agentic workflows, ocr technologies

Top Skills Details

aws,restful api,large language model,Python,react js,backend services,vue, Writing unit and integration tests RESTful API design and microservices architecture CI/CD pipelines (GitLab exposure preferred) Databases/SQL AWS Postgres, Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

We’re partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That’s the power of true partnership. TEKsystems is an Allegis Group company., Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Were a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.