Senior AI Engineer

Talon Professional Services; Wilmington (DE); Hybrid; USD 120,000 - 180,000; Part time

Job summary

Talon Professional Services is seeking a Senior AI Engineer to develop and deploy AI-enabled features within a collaborative environment. You will build robust services, integrate retrieval-augmented pipelines, and operate agentic workflows to push AI applications forward.

The role requires hands-on experience with LLMs, agentic architectures, and cloud AI platforms, with a focus on scalable microservices and APIs. Travel (~5–10%) is expected; contract term ranges from 6 months to direct hire.

Qualifications

• 2–3 years of agentic AI experience.
• Proficient in Python and modern development practices (testing, linting, typing, CI/CD).
• Hands-on with LLMs and multi-agent architectures.
• Experience with Azure AI, GCP Vertex, or AWS Bedrock.
• Experience with vector databases, search algorithms, and observability tools like Datadog.
• Ability to develop, test, and support scalable microservices and APIs exposing AI capabilities.
• Strong communicator able to collaborate across technical and business teams.

Skills

Python

Agentic AI

LLMs

Multi-agent architectures

CI/CD

Cloud platforms

Vector databases

APIs & microservices

Education

Bachelor's degree or equivalent

Tools

Datadog

Langsmith

Azure AI

GCP Vertex

AWS Bedrock

Cursor

Claudecode

GitHub Copilot

Job description

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%.