Job Title: Agentic AI engineer
Location: Washington DC (Onsite)
Job Type: Contract
Responsibilities:
- Develop automation solutions using Python.
- Build Al agents using LangChain and LangGraph to orchestrate tools APls and workflows.
- Integrate automations with enterprise systems via REST APIs and databases.
- Containerize services using Docker and support CI/CD pipelines.
- Deploy and operate solutions on AWS (IAM S3 Lambda ECS/Fargate CloudWatch).
- Reasoning Engines: Experience with frontier models like GPT-4o Claude 3.5 and Llama 3.x/4 specifically for tool-calling and JSON-mode outputs
- Agentic RAG 2.0: Develop iterative retrieval systems where agents autonomously decide if they have enough information or if they need to perform additional searches/queries.
- Implement logging error handling and basic monitoring.
- Collaborate with onshore architects and follow defined architecture standards.
Skills
- Python (automation backend services).
- JavaScript (React/Node JS)
- LangChain and/or LangGraph hands-on experience.
- Docker and container-based deployments.
- AWS Cloud Practitioner-level knowledge with hands-on exposure.
- REST APIS JSON Git.
Job Title: Agentic AI engineer Location: Washington DC (Onsite) Job Type: Contract Responsibilities: Develop automation solutions using Python. Build Al agents using LangChain and LangGraph to orchestrate tools APls and workflows. Integrate automations with enterprise systems via REST APIs and d...
Job Title: Agentic AI engineer
Location: Washington DC (Onsite)
Job Type: Contract
Responsibilities:
- Develop automation solutions using Python.
- Build Al agents using LangChain and LangGraph to orchestrate tools APls and workflows.
- Integrate automations with enterprise systems via REST APIs and databases.
- Containerize services using Docker and support CI/CD pipelines.
- Deploy and operate solutions on AWS (IAM S3 Lambda ECS/Fargate CloudWatch).
- Reasoning Engines: Experience with frontier models like GPT-4o Claude 3.5 and Llama 3.x/4 specifically for tool-calling and JSON-mode outputs
- Agentic RAG 2.0: Develop iterative retrieval systems where agents autonomously decide if they have enough information or if they need to perform additional searches/queries.
- Implement logging error handling and basic monitoring.
- Collaborate with onshore architects and follow defined architecture standards.
Skills
- Python (automation backend services).
- JavaScript (React/Node JS)
- LangChain and/or LangGraph hands-on experience.
- Docker and container-based deployments.
- AWS Cloud Practitioner-level knowledge with hands-on exposure.
- REST APIS JSON Git.
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