About this role
Description
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
Additional Skills & Qualifications
Writing unit and integration tests
RESTful API design and microservices architecture
CI/CD pipelines (GitLab exposure preferred)
Databases/SQL AWS Postgres
Experience Level
Entry Level
Job Type & LocationThis is a Contract position based out of Rockville, MD.
Pay and BenefitsThe pay range for this position is $70.67 - $70.67/hr. 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. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Application DeadlineThis position is anticipated to close on Nov 1, 2026.
Workplace TypeThis is a hybrid position in Rockville,MD.
About TEKsystems
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.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
About TEKsystems and TEKsystems Global Services
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.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.