
AI Developer Opportunities
4 days ago
We are seeking skilled professionals who can architect, implement, and optimize AI backends that combine engineering discipline with GenAI capabilities.
- Key Responsibilities:
- Design and develop high-quality Python software solutions for Generative AI applications.
- Implement retrieval pipelines, tool orchestration, and observability features.
- Collaborate with cross-functional teams to integrate AI modules into larger systems.
- Optimize AI models for latency, cost, and accuracy in real-world deployments.
Required Skills & Qualifications:
- 3–7 years of professional experience with Python (3.9+).
- Strong knowledge of Object-Oriented Programming, asynchronous programming, and REST API design.
- Hands-on experience with RAG implementations and vector databases (Pinecone, Weaviate, FAISS, Qdrant, Milvus).
- Understanding of multi-agent workflows and orchestration libraries (LangGraph, AutoGen, CrewAI).
- Proficiency with FastAPI/Django for backend development.
- Comfort with Docker, GitHub Actions, CI/CD pipelines.
- Practical experience with cloud infrastructure (AWS/GCP/Azure).
- Ability to add tracing, logging, and evaluation metrics (PromptFoo, LangSmith, Ragas).
Benefits:
- Opportunity to own core AI modules (MCP servers, RAG frameworks, A2A orchestration).
- End-to-end involvement from architecture → MVP → production rollout.
- A fast-moving, engineering-first culture where experimentation is encouraged.
- Competitive compensation and strong career growth.
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