Software Engineer - Agentic AI Platform - W2

Senior Software Engineer Agentic AI Platform

10 -12 Months contract extension

Onsite Vienna, VA

W2 Contract Long-Term
Onsite | Local Candidates within 40 miles
In-Person Interview Required

Job Description:

Role Overview

• 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.