Artificial Intelligence Engineer
2 days ago
We are looking for a forward-thinking
GenAI / Agentic AI Engineer
to build intelligent, multi-agent systems and production-ready AI solutions. You'll work with cutting-edge LLMs, RAG pipelines, orchestration frameworks, and vector databases to deliver next-generation automation, conversational agents, and AI-powered products.
Key Responsibilities
- Develop AI-powered applications using
Python
(primary) and JavaScript/TypeScript. - Build agentic systems using modern frameworks:
OpenWebUI, LangChain, LangGraph, LlamaIndex, smolagents, AutoGen, CrewAI
, etc. - Integrate LLMs from
OpenAI, Anthropic, Meta, Mistral
, and fine-tune workflows for local LLMs. - Build and optimize
chatbots, multi-agent workflows, and conversational flows
. - Design and implement
RAG pipelines
, including chunking strategies, embeddings, vector search, and retrieval optimization. - Work with vector DBs such as
ChromaDB, Milvus, Pinecone, Weaviate, Elasticsearch
. - Lead prompt engineering efforts and design function-calling/tool-calling schemas.
- Implement agent orchestration, memory systems, and context-management techniques.
- Build backend services and REST APIs using
FastAPI, Flask, or
. - Deploy AI workloads using
Docker, Kubernetes/OpenShift
, and CI/CD pipelines. - Handle unstructured data—documents, PDFs, OCR outputs—efficiently.
- Apply best practices for AI evaluation, hallucination reduction, and performance optimization.
- Partner with product and business teams to map real-world use cases into reliable AI agents.
- Produce clear technical documentation and communicate effectively with stakeholders.
Nice-to-Have Skills
- Experience with
knowledge graphs or graph databases
. - Understanding of
embedding optimization
, model latency tuning, and advanced retrieval strategies. - Familiarity with emerging GenAI tools, plugins, and evaluation frameworks.
Who You Are
You are passionate about the rapidly evolving AI landscape and love building intelligent, dynamic, autonomous systems. You bring a strong engineering mindset, curiosity for experimentation, and the ability to convert complex business problems into elegant AI solutions.
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