AI/ML Agentic Engineer - Build Autonomous Defense AI

NCSL International; Fort Walton Beach (FL); Hybrid; USD 115,000 - 135,000; Full time

Benefits offered by this job

Competitive salary package

Comprehensive insurance options

Paid time off

401k

Tuition reimbursement

Job summary

SURVICE Engineering is seeking an AI/ML Agentic Engineer to join our Gulf Coast team. You will design and build autonomous AI agents, connect tools, and optimize multi-step workflows in production environments.

The ideal candidate has 2+ years in software or ML, strong .NET/Python skills, hands-on experience with LLM APIs, agent frameworks, and vector databases, and collaborates with product and other engineers on ai feature delivery.

Qualifications

• Bachelor's Degree in Computer Science/Computer Engineering or related discipline.
• 2+ years of professional software engineering or machine learning experience.
• Strong proficiency in .NET/Python and modern software development practices.
• Hands-on experience with LLM APIs (OpenAI, Anthropic, or open-source).
• Familiarity with agentic frameworks like Microsoft.Agent.Framework, LangChain, and/or LlamaIndex.
• Knowledge of vector databases (Pinecone, Chroma, pgvector, or SQL Server 2025) and RAG.
• Curiosity for how AI works and drive to solve automation challenges.
• Experience with Model Context Protocol for Agent tooling (MCP).

Responsibilities

• Build AI Agents: Design and develop autonomous AI systems using LLMs.
• Connect Tools: Integrate AI models with external software, APIs, and databases.
• Optimize Workflows: Test, debug, and improve agent planning and execution.
• Write Code: Write clean, fast .NET/Python code for production.
• Collaborate: Work with product managers and engineers to ship AI features.

Education

Bachelor's Degree in Computer Science/Computer Engineering

Tools

LangChain

LlamaIndex

Microsoft.Agent.Framework

Pinecone

Chroma

SQL Server 2025

Job description

SURVICE Engineering is seeking an AI/ML Agentic Engineer to join our Gulf Coast team. You will design and build autonomous AI agents, connect tools, and optimize multi-step workflows in production environments.

The ideal candidate has 2+ years in software or ML, strong .NET/Python skills, hands-on experience with LLM APIs, agent frameworks, and vector databases, and collaborates with product and other engineers on ai feature delivery.