Credence is looking to solve the problem of building and deploying data-driven AI solutions to advance federal missions, specifically in the areas of national security and public well-being.
Requirements
- Strong understanding of ETL, ELT, and other similar data pipeline processes, as well as Enterprise Data and Storage Systems, such as experience with OpenSearch/Elastic Search, Kafka, Bedrock, Glue, DataBricks, Snowflake, AWS S3, RDS, EBS, or Glacier
- Experience with vector databases, embeddings, and their affiliated data structures, file formats, services, APIs, etc (e.g. FAISS, PGVector, OpenSearch/Elasticsearch, Hugging face with Pinecone, Bedrock Knowledge Base)
- Experience in generative AI, working with LLMs, adding tool calls (MCP) and agents (A2A).
- Understanding of leading AI APIs such as OpenAI, Anthropic, Gemini, Bedrock, Vertex for use with LLMs and RAG search.
- Familiarity with CI/CD pipelines (GitLab/GitHub/Jenkins)
- Experience with VS Code and AI extensions such as Cline and Claude Code.
- Python proficiency and familiarity with libraries and frameworks (Pyspark, Pandas, uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured)
Responsibilities
- Build and optimize data pipelines that prepare, clean, and structure data for generative AI and LLM usage.
- Manage and organize large datasets across cloud platforms (e.g., AWS, Azure, GCP) using data lake and warehouse technologies.
- Work with both SQL and NoSQL systems to model, query, and load large-scale datasets.
- Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools.
- Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability.
- Write clean, well-documented code following industry and federal guidelines, support reproducible development.
- Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews.
Other
- U.S. Citizenship with eligibility for DoD Secret clearance.
- Bachelor’s or Master’s in Computer Science, Data/AI/ML, or a related field.
- 3–7 years of hands-on experience delivering Data/AI/ML solutions.
- Strong communication skills and client-oriented mindset.
- Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact.
