Job Description
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.
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