Job Description – Python Developer with Agentic AI & Golang (Remote) Job Title Senior Python Developer – Agentic AI & Golang Location Remote Employment Type Full-Time / Contract Job Summary We are looking for a highly skilled Python Developer with strong experience in Agentic AI, LLM-based applications, and Golang development. The ideal candidate should have expertise in building scalable AI-driven applications, autonomous AI agents, backend microservices, and cloud-native solutions. The candidate will work closely with AI/ML teams, product managers, and cloud engineers to design and implement next-generation AI platforms using modern frameworks and tools.

Key Responsibilities

• Design and develop scalable backend applications using Python and Golang.
• Build and implement Agentic AI systems, AI agents, and autonomous workflows.
• Develop LLM-powered applications using frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.
• Implement Retrieval-Augmented Generation (RAG) pipelines and vector database integrations.
• Integrate OpenAI, Anthropic, or other LLM APIs into enterprise applications.
• Develop REST APIs and microservices architecture for AI platforms.
• Work with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Optimize application performance, scalability, and security.
• Collaborate with DevOps teams for CI/CD, Docker, and Kubernetes deployments.
• Participate in architecture discussions, code reviews, and technical documentation.
• Troubleshoot production issues and provide scalable solutions.

Required Skills

• 5+ years of experience in Python development.
• Strong hands-on experience with Golang (Go).
• Experience with Agentic AI frameworks and autonomous AI systems.
• Strong knowledge of LLMs, Generative AI, and prompt engineering.
• Experience with:
• LangChain
• LangGraph
• CrewAI
• AutoGen
• OpenAI APIs
• Experience building RAG pipelines and vector database solutions.
• Strong understanding of REST APIs and microservices.
• Hands-on experience with Docker and Kubernetes.
• Cloud experience with AWS, Azure, or Google Cloud Platform.
• Experience with Git, CI/CD pipelines, and Agile methodologies.
• Good understanding of system design and distributed systems.

Preferred Qualifications

• Experience with vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS.
• Knowledge of AI observability and monitoring tools.
• Experience with event-driven architectures and message queues.
• Exposure to MLOps and AI deployment pipelines.
• Familiarity with frontend technologies is a plus.

Education

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Equivalent practical experience will also be considered.