AI Developer

PRECISE SOFTWARE SOLUTIONS INCORPORATED•Washington, DC

12d•Hybrid

About The Position

Precise Software Solutions Inc. is seeking an AI Developer to build and maintain the data pipelines, knowledge bases, and AI components behind secure AI-enabled applications for the U.S. Government. You will also help automate AI deployments and provide helpdesk support to application users. This is a hybrid position- will require 3 days a week on site in DC (DOL HQ). Must be USC or GC and able to obtain a public trust clearance.

Requirements

Bachelor's degree in Computer Science, Engineering, Mathematics, Information Systems, or a related field and 1+ year of relevant experience. Equivalent experience may substitute for the degree.
1+ year of hands-on software development experience in Python.
Experience building data pipelines or data processing jobs and working with SQL and relational or NoSQL databases.
Hands-on exposure to Generative AI through work, internship, or substantial projects, such as LLM APIs, embeddings, vector databases, or RAG.
Familiarity with a major cloud platform (AWS, Azure, or Google Cloud), Git, and CI/CD tools.
Experience providing technical or application support to end users, including ticket triage, troubleshooting, and clear written and verbal communication with non-technical users.
Must be a U.S. citizen or lawful permanent resident (green card holder).
Must reside in the Washington, DC metropolitan area and be able to work on-site at Government offices.
Must be able to obtain and maintain a Public Trust background investigation.

Nice To Haves

3+ years of software or data engineering experience, including support of federal agency programs.
Experience with RAG frameworks and vector stores.
Experience with document processing (OCR, PDF parsing), containers (Docker/Kubernetes), and MLOps tools.
Experience with IT service management tools (e.g., ServiceNow, Jira Service Management) or an ITIL Foundation certification.
Generative AI or Machine Learning certification (e.g., Microsoft Azure AI, AWS, Google Cloud, Databricks, or NVIDIA).
An active Public Trust or prior federal background investigation.

Responsibilities

Develop and maintain data ingestion, transformation, and processing pipelines (ETL/ELT) that prepare structured and unstructured content for AI workloads.
Build knowledge bases for Retrieval-Augmented Generation (RAG), including document chunking, embeddings, vector indexing, and regular refreshes.
Develop Python services, APIs, and Large Language Model (LLM) integrations, including prompt templates, structured outputs, and agentic workflow components, under the direction of senior engineers.
Build and maintain CI/CD and model-lifecycle pipelines with automated unit tests, security scans, and Test, Evaluation, Verification and Validation (TEVV) gates across all environments.
Curate, validate, and version datasets; maintain metadata, lineage, and data-quality checks; and apply PII masking and data-minimization controls.
Write unit and integration tests, support model and retrieval evaluation, and document defects and results.
Monitor pipelines, ingestion jobs, and vector indexes; troubleshoot failures; and support root-cause analysis and incident response.
Serve as a helpdesk resource for AI application users, resolving tickets and escalating as needed.
Prepare user manuals, job aids, and technical documentation, and keep code, prompts, and configurations in Government-approved repositories with full traceability.