AI Engineer
JOSEF GROUP INC
Annapolis Junction, MD, United States
5 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$150,000.0 - $180,000.0
Working hours
Regular working hours
Job source
Tech stack
LangGraph Framework
Application Programming Interfaces (APIs)
Artificial Intelligence
Automated Storage and Retrieval Systems
Software Debugging
Python (Programming Language)
Machine Learning
OpenAI
Search Technologies
Software Engineering
Unstructured Data
Web Application Frameworks
+16 more
Scripting
LangChain
Retrieval-Augmented Generation
Multi-Agent Systems
Prompt Engineering
Llamaindex
Agentic-AI
Git
Fastapi
CrewAI
Graphql
Claude
Invoking Functions
Api Design
Restful APIs
Data Pipelines
Job description
AI Engineer TS/SCI and Poly is Required $150,000-$180,000
Requirements
Artificial Intelligence (AI), Application Programming Interface (API), Python Programming/Scripting Language, Artificial Intelligence (AI), Software Development, Product Demonstration, Machine Tool, REST (Representational State Transfer), GraphQL, Debugging Skills, * Experience building and deploying agentic systems using modern frameworks like LangGraph, CrewAI, or similar orchestration tools.
- Develop Python applications that leverage multiple AI models and APIs in production
- 3+ years of software development experience with strong Python proficiency.
- Hands-on experience building production AI applications (not just notebooks or demos).
- Familiarity with modern AI frameworks and tooling (Pydantic AI, LangChain, LlamaIndex, agent frameworks).
- Experience with API development and integration (REST, GraphQL, streaming APIs).
- Understanding of prompt engineering, structured outputs, and tool/function calling.
- Strong debugging skills and ability to troubleshoot non-deterministic AI behavior.
- Git proficiency and collaborative development experience.
- Self-directed learner who thrives in ambiguity and rapidly evolving technology.
- Genuine enthusiasm for exploring what’s possible at the frontier of AI capabilities.
- Experience with agentic workflows and multi-agent orchestration.
- Experience with retrieval systems (RAG, vector databases, semantic search).
- Knowledge of AI engineering best practices (evals, observability, deployment patterns).
- Familiarity with multiple AI providers (Anthropic Claude, OpenAI, open-weight models).
- Experience building IDE extensions, CLI tools, or browser extensions with AI features.
- Understanding of data pipelines and structured/unstructured data handling.
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