Mid-Level Software Engineer – Java/Python, AWS & Agentic AI
The Mid-Level Software Engineer will develop scalable backend services and AI-enabled document processing workflows using Java, Python, and AWS cloud technologies. This role focuses on integrating advanced AI concepts such as agentic AI, LLM orchestration, and Model Context Protocol to automate intelligent document ingestion and transformation. The engineer will collaborate within a cross-functional team to deliver production-quality cloud applications and support continuous integration and deployment in an Agile environment.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT Services and IT Consulting.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Overview
Confidential Client is building next‑generation intelligent document services and needs a hands-on mid‑level backend engineer to deliver scalable cloud systems that combine OCR, LLMs, and agentic AI for automated document ingestion, extraction, transformation, and delivery. This is a contract role working with cross-functional teams to design, build, test, and operate production services.
What You’ll Do
- Design, develop, test, and maintain scalable backend services and RESTful APIs using Java and Python.
- Build document-processing workflows for ingestion, OCR, data extraction, transformation, and downstream delivery.
- Develop and integrate AI-enabled services that connect LLMs, agentic workflows, external tools, APIs, databases, and enterprise data.
- Design and maintain microservices and cloud-native solutions on AWS.
- Implement unit and integration tests to ensure quality, reliability, and performance.
- Participate in deployments, production releases, troubleshooting, and incident response.
- Collaborate with engineers, architects, product partners, and stakeholders to translate requirements into technical solutions.
- Participate in peer code reviews, design discussions, and technical documentation.
- Support CI/CD pipelines and Infrastructure as Code practices.
- Work within Agile/Scrum ceremonies (sprint planning, refinement, standups, retrospectives).
Required Qualifications
- 5+ years of professional software development experience.
- Strong backend development experience with Java and Spring Boot (Groovy experience is a plus).
- Experience building services and APIs with Python and FastAPI.
- Strong experience designing and developing RESTful APIs and microservices.
- Hands‑on AWS experience (EC2, S3, Lambda, RDS, ECS, API Gateway, IAM, VPC, CloudWatch, CloudTrail, X‑Ray).
- Experience with relational databases, SQL, and PostgreSQL.
- Proven experience building automated unit and integration tests.
- Familiarity with CI/CD tooling (GitLab preferred).
- Experience with Infrastructure as Code (Terraform and/or CloudFormation).
- Ability to work independently and collaboratively in a cross-functional team.
Agentic AI & LLM Experience
- Understanding of Model Context Protocol (MCP) and connecting models to tools, data, and services.
- Familiarity with agentic AI architectures and multi-step orchestration patterns.
- Experience building or integrating tools that allow AI agents to interact with APIs, databases, files, and downstream services.
- Understanding of prompt engineering, context management, and token optimization for production LLM applications.
- Experience integrating LLM capabilities into enterprise software.
Preferred Qualifications
- Experience with OCR and intelligent document-processing tools (AWS Textract, Tesseract).
- Experience with LLM/agent frameworks such as LangChain, LlamaIndex, or Amazon Bedrock Agents.
- Familiarity with Retrieval-Augmented Generation (RAG) and vector databases.
- Experience with event-driven architectures, messaging, or asynchronous processing.
- Containerization and orchestration experience (Docker, Kubernetes).
- Experience with NoSQL databases.
- Experience with data visualization or dashboarding tools (e.g., QuickSight).
- Experience supporting enterprise search, text analytics, or document intelligence applications.
- AWS certifications are a plus.
Ideal Candidate
The ideal candidate is a pragmatic backend engineer with strong systems fundamentals who is excited to apply emerging AI techniques (LLMs, agentic AI, MCP) to real-world document automation problems. You are comfortable delivering production-quality cloud applications and iterating quickly to bring AI capabilities into enterprise workflows.
Employment Details
- Employment type: CONTRACTOR
- Location: Rockville, MD (on-site / hybrid as defined by the client)
- Target start date: ASAP
- Pay: Rate: DO (as listed by the client)
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
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