Senior Artificial Intelligence Engineer ( Agentic Applications)

Maventech Inida; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

An innovative firm is on the lookout for a Senior Generative AI Engineer to join their dynamic team. This role involves designing and deploying intelligent systems using cutting-edge technologies, including Large Language Models and agentic frameworks. The successful candidate will have a strong background in Python and AI/ML applications, with a passion for creating scalable and maintainable code. You'll collaborate with cross-functional teams to drive the technical architecture of next-generation AI products, ensuring they meet performance and reliability standards. If you're eager to contribute to groundbreaking AI initiatives and mentor junior engineers, this opportunity is perfect for you.

Qualifications

• 3+ years of experience in software development focused on AI/ML applications.
• Proficiency in Python and experience with LLMs like Claude and GPT.
• Familiarity with AI workflow orchestration frameworks.

Responsibilities

• Design and deploy agentic applications using generative AI models.
• Integrate tools and APIs to enable agents to perform tasks effectively.
• Collaborate with product teams to translate requirements into solutions.

Skills

Python

Large Language Models (LLMs)

AI/ML Libraries

RESTful APIs

Problem-solving

Version Control (Git)

Communication Skills

Education

Bachelor's in Computer Science

Master's in Artificial Intelligence

Tools

LangChain

LangGraph

Crew AI

MCP Servers

Job description

Role Overview:

We are seeking a highly skilled and motivated Senior Generative AI Engineer with a strong background in building agentic applications and workflows. The ideal candidate will have proven expertise in utilizing Large Language Models (LLMs) such as Claude, OpenAI GPT series, Google Gemini, and other similar technologies to design, develop, and deploy intelligent systems that can reason, act, and learn. Experience with frameworks like Crew AI, OpenAI Agent SDK, or Langgraph toolset for orchestrating multi-agent systems is highly valued. You will be a key player in our AI team, responsible for driving the technical architecture and implementation of our next-generation AI products, including leveraging technologies like MCP Servers for enhanced model context and tool integration.

Key Responsibilities:

• Design, develop, and deploy agentic applications and complex AI workflows using generative AI models (Claude, OpenAI, Gemini, etc.) and relevant frameworks (e.g., LangChain, LangGraph, Crew AI, or similar).
• Build and optimize prompts and interaction strategies for LLMs to achieve desired outcomes in agentic systems.
• Integrate various tools, APIs, and data sources, potentially utilizing MCP Servers, to enable agents to perform tasks and access information effectively.
• Develop robust, scalable, and maintainable code in Python for all components of the agentic applications, from backend logic to API integrations.
• Implement testing and evaluation strategies for agentic systems to ensure performance, reliability, and safety.
• Collaborate closely with product managers, designers, and other engineers to translate requirements into technical solutions.
• Stay up-to-date with the latest research and developments in generative AI, LLMs, agentic systems, and protocols like MCP, evaluating their potential for our products.
• Contribute to the architecture and technical roadmap of our AI initiatives.
• Mentor junior engineers and share knowledge within the team.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
• Minimum of 3 years of professional experience in software development, with a significant focus on AI/ML applications.
• Proven proficiency in Python and experience with relevant AI/ML libraries and frameworks.
• Hands-on experience in developing applications utilizing Large Language Models (LLMs) such as Claude, enAI's GPT (GPT-3, GPT-4, etc.), Google Gemini, or other prominent generative AI models.
• Experience in building agentic applications or workflows, demonstrating an understanding of concepts like planning, memory, tool usage, and multi-agent systems.
• Familiarity with AI workflow orchestration and agentic frameworks (e.g., LangChain, LangGraph, Crew AI, Haystack, or similar).
• Experience working with Model Context Protocol (MCP) Servers.
• Experience with RESTful APIs and integrating external services.
• Solid understanding of software development best practices, including version control (Git), testing, and CI/CD.
• Excellent problem-solving skills and the ability to work independently and as part of a collaborative team.
• Strong communication skills, both written and verbal.