Junior Software Engineer

About the Role

Koniag Government Services is seeking a Junior Software Engineer to support KITS and a government customer in Washington, DC. This is a hybrid position with the possibility of some remote work, and it is for a Future New Business Opportunity. A TS/SSBI SCI eligibility is required.

Key Responsibilities

• Build and maintain data ingestion and indexing pipelines that process, parse, and store large document corpora.
• Develop and optimize advanced search and retrieval systems, integrating search engines, caching layers, and backend services.
• Implement data lineage and traceability mechanisms that link system outputs back to source documents and records.
• Develop distributed workflow orchestration and asynchronous task processing pipelines using frameworks such as Celery or Temporal.
• Build automated testing and quality assurance frameworks for data and backend pipelines, including unit tests, integration tests, and schema validation.
• Support senior technical leads in translating customer requirements into scalable software solutions.
• Communicate project progress, architectural decisions, and technical findings to technical and non-technical stakeholders.

Requirements & Tech Stack

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Physics, or a relevant field.
• Experience with Python programming in a data science, machine learning, or software engineering context.
• Familiarity with LLMs, prompt engineering, and RAG concepts.
• Familiarity with vector databases or document indexing systems.
• Understanding of software testing principles and experience writing automated tests.
• Strong communication skills for technical and non-technical audiences.

Preferred Skills

• Experience building agentic AI systems or multi-agent frameworks.
• Experience with containerization (Docker, Kubernetes) and DevOps/MLOps practices.
• Familiarity with version control (Git), CI/CD pipelines, and automated QA tooling.
• Experience with cloud-based ML services (AWS SageMaker, Bedrock).
• Background in NLP, information retrieval, or text analytics.
• Exposure to machine learning frameworks (PyTorch, TensorFlow, or Scikit-learn) and/or LLM libraries (LangChain, Hugging Face).

Clearance Requirement

• TS/SCI/Yankee White