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Senior AI Engineer

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Onsite

Senior AI Engineer

Talon Professional Services

Senior AI Engineer

Skills

Google Cloud PlatformPythonMicroservicesNeo4jDatadogAIAWSGitHubNLP / Natural Language ProcessingAzure

19 days ago

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Important information


Contract type:

Freelance / Contract

Salary:

$124,800 – $166,400 / year

Location:

Wilmington, DE, USA

Work mode:

Onsite

Published on:

8 October 2026

What they need


Job Title: Senior AI Engineer

Workplace Type: Hybrid-4 Days Onsite (VA or NJ)

Employment Type: Contract (6 months to direct hire)

Overview:

Join a leading innovator at the forefront of artificial intelligence technology as a Senior AI Engineer. This pivotal role offers the opportunity to develop and deploy cutting-edge AI-enabled features within a dynamic, collaborative environment. You'll work on building robust services, integrating complex retrieval-augmented pipelines, and operating agentic workflows, contributing to groundbreaking solutions that push the boundaries of AI application.

Required Skills:

  • At least 2-3 years recent Agentic AI experience
  • Extensive experience in software engineering, specifically with Python and modern development practices (testing, linting, typing, CI/CD).
  • Proven expertise in agentic AI systems, including hands-on application of large language models (LLMs) and multi-agent architectures.
  • Strong familiarity with cloud AI platforms such as Azure AI, GCP Vertex, or AWS Bedrock.
  • Practical experience with vector databases, search algorithms, and observability tools like Datadog and Langsmith.
  • Ability to develop, test, and support scalable microservices and APIs that expose AI capabilities.
  • Effective communicator capable of collaborating across technical and business teams.

Nice to Have Skills:

  • Knowledge of knowledge graphs (Neo4j, Cypher) and NLP model training or fine-tuning.
  • Experience with agent development tools like Cursor, Claudecode, or Github Copilot.
  • Understanding of AI guardrails, responsible AI practices, and security/access control measures.
  • Familiarity with A2A and MCP multi-agent systems.

Preferred Education and Experience:

  • Bachelor’s degree in a related field or equivalent professional experience.
  • At least 5 years of software engineering experience, with a minimum of 3 years focused on AI/LLM system development, particularly in deploying agentic AI solutions.

Other Requirements:

  • Willingness to travel approximately 5-10%.

If you're passionate about advancing AI technology and ready to make a significant impact in a cutting-edge environment, we encourage you to apply now and become part of a transformative journey!

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