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AI Engineer

eSolutionsFirst, LLCMcLean, VA🇺🇸United StatesPosted 3 Sept 2026

Why This Role Stands Out

This AI Engineer role at eSolutionsFirst, LLC offers a unique opportunity to shape cutting-edge Agentic AI platforms, leveraging LLMs, RAG, and multi-agent systems. You'll thrive here if you possess strong software engineering skills in Golang, Python, and Java, and are eager to contribute to innovative AI solutions within a hybrid work environment. Apply now to advance your career at the forefront of artificial intelligence development.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
McLean, VA, United States
Posted
17 hours ago
MicroservicesSQLSpringSpring BootAWSGenerative AIGoJavaLLMPythonREST

Job Description

We are seeking a highly experienced Senior Software Engineer to design, build, and scale our next-generation Agentic AI Platform. The role focuses on LLMs, RAG, Multi-Agent Systems, and MCP, with strong software engineering expertise in Golang, Python and Java.

 

Key Responsibilities

  • Design, develop, test, deploy, and maintain scalable AI platform components using Golang, Python, and Java/Spring Boot.
  • Build LLM-powered agents supporting reasoning, planning, tool use, decision-making, and multi-step workflows.
  • Develop RAG pipelines, prompt engineering, function/tool calling, context management, and agent memory.
  • Design multi-agent architectures and integrate MCP with enterprise tools and systems.
  • Build scalable microservices, REST APIs, and distributed systems.
  • Integrate LLMs, APIs, internal platforms, and third-party services.
  • Optimize solutions for performance, reliability, latency, cost, and quality.
  • Participate in architecture, development, testing, deployment, monitoring, and production support.

 

Required Qualifications

  • Bachelor's/Master's degree in Computer Science, Engineering, or related field.
  • 7+ years of software engineering experience.
  • Strong hands-on expertise in Golang and Python; experience with Java/Spring Boot is preferred.
  • Strong experience building scalable, production-grade applications, microservices, APIs, and distributed systems.
  • Solid understanding of algorithms, data structures, OOP, and software design principles.
  • Hands-on experience with AI/ML, LLMs, Generative AI, prompt engineering, and tool/function calling.
  • Experience with RAG, embeddings, vector databases, and semantic search.
  • Knowledge of Agentic AI, multi-agent systems, agent orchestration, and MCP.
  • Experience with SQL/NoSQL databases and data pipelines.
  • Experience with AWS
  • Strong understanding of CI/CD, testing, version control, and production engineering.
  • Excellent problem-solving, communication, and collaboration skills.

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