Agentic AI / Python Engineer

As an Agentic AI / Python Engineer, you will develop intelligent software solutions that combine Python-based backend engineering with LLM integration and autonomous agent capabilities.

• Design, develop, and maintain scalable Python applications and backend services.

• Build Agentic AI solutions involving autonomous agents, intelligent workflows, and multi-agent systems.

• Integrate Large Language Models (LLMs) and Generative AI capabilities into applications and business processes.

• Develop AI agent workflows using tool calling, function calling, and external API integrations.

• Design, implement, and maintain RESTful APIs and Python-based backend services.

• Explore and implement Retrieval-Augmented Generation (RAG) solutions to enhance AI application capabilities where appropriate.

• Collaborate with engineering teams to design, build, and continuously improve AI-powered applications.

• Support the integration, testing, deployment, monitoring, and optimization of AI solutions.

• Apply software engineering best practices to ensure applications are reliable, maintainable, scalable, and suitable for production environments.

• Contribute to troubleshooting and improving the performance and quality of AI-driven systems.

Requirements:

The ideal candidate has strong Python development expertise and practical experience building AI-powered applications, particularly those involving autonomous agents and LLM-based workflows.

• Strong hands-on experience in Python programming and software development.

• Practical experience developing Agentic AI applications, AI agents, or autonomous AI workflows.

• Experience integrating Large Language Models (LLMs) and Generative AI capabilities into software applications.

• Understanding of AI agent orchestration, multi-agent systems, and tool or function calling.

• Experience designing, developing, and integrating APIs and Python-based backend services.

• Ability to build scalable, maintainable, and reliable software solutions.

• Strong analytical and problem-solving skills, with the ability to collaborate effectively with technical teams.

Preferred Technical Skills:

• Experience with Agentic AI frameworks such as LangGraph, LangChain, CrewAI, or AutoGen.

• Familiarity with FastAPI, Flask, and RESTful API development.

• Knowledge of Retrieval-Augmented Generation (RAG), embeddings, vector databases, and semantic search.

• Experience with LLM platforms and services such as OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock, or Google Vertex AI.

• Familiarity with Docker, Kubernetes, and cloud deployment environments.

• Experience building, deploying, or maintaining AI applications in production.

• Understanding of LLM evaluation, prompt engineering, and AI application testing.

Benefits:

• Remote work opportunity.

• Contract-based engagement.

• Opportunity to work on Agentic AI, autonomous agents, LLM integration, and Generative AI applications.

• Exposure to modern AI frameworks, cloud AI platforms, and production-oriented software development.

• Opportunity to collaborate with engineering teams on scalable, intelligent technology solutions.

• Salary, healthcare coverage, paid time off, and other benefits are not specified in the preliminary job description.

• Final responsibilities and engagement details are subject to client confirmation.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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