Mid-Level Developer

SGA Inc.
Rockville, MD, United States
12 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Audit Trail Code Review Collaborative Software Computer Programming Databases Data Mining
+40 more
Data Visualization Software Debugging Groovy Identity and Access Management Python (Programming Language) PostgreSQL Machine Learning Node.Js NoSQL Scrum Methodology Queueing Systems Software Engineering SQL Databases Enterprise Search Enterprise Software Applications ReactJS Large Language Models Prompt Engineering Spring-boot Amazon Virtual Private Cloud (VPC) Backend Gitlab Cloudformation Fastapi Vue.js Event Driven Architecture Amazon Relational Database Service Containerization AngularJS Kubernetes Front End Software Development Functional Programming Text Analysis Cloudwatch Api Gateway Restful APIs Terraform GPT Docker Microservices

Job description

  • Design and develop scalable backend services that power intelligent document ingestion, extraction, and transformation workflows
  • contribute to building systems where autonomous agents coordinate multi-step document processing pipelines - from raw document intake through structured data extraction and downstream delivery.
  • 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.
  • Review and analyze process, system, and/or data requirements and specifications.
  • Design and implement backend components for one or more areas (subsystems) of a project, product, or program.
  • Build, test, deploy, and document software components for project and program-level solutions.
  • Participate in the creation of software engineering strategies that help identify and mitigate risks.
  • Participate in peer review of code, requirements, specifications, and software.
  • Document and communicate development status in a timely manner including metric reporting.
  • Collaborate in the resolution of defects.
  • Contribute to internal process improvement initiatives and provide feedback on processes.
  • Assist with adherence to technology policies and comply with all security controls.
  • Ensure all work products meet or exceed organizational standards.
  • Demonstrate organizational values through collaboration, both in-person and virtually, in furtherance of the organization’s mission.
  • 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

Requirements

  • 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.
  • 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

Preferred Skills :

  • 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

About the company

By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations.

SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let’s work better together, we mean it. You’ll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .

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