Python AI Engineer

Bramkas

Posted 2mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Design, develop, and maintain enterprise AI applications using Python, React, and MongoDB.
Build scalable Retrieval-Augmented Generation (RAG) solutions using vector databases and embedding models.
Develop end-to-end document processing pipelines, including document parsing, extraction, chunking, indexing, and semantic retrieval.
Integrate commercial and open-source Large Language Models (LLMs).
Build real-time AI applications using Streaming APIs and Server-Sent Events (SSE).
Implement document citation, source attribution, and grounded AI responses.
Design and develop Agentic AI solutions using multi-agent frameworks and Model Context Protocol (MCP).
Develop REST APIs and microservices supporting AI workflows.
Collaborate with architects, product owners, and engineering teams to deliver scalable AI solutions.
Participate in architecture reviews, code reviews, and Agile development activities.

3+ years of experience developing enterprise applications using Python, React, and MongoDB.
Strong hands-on experience with Generative AI (GenAI).
Strong hands-on experience with Large Language Models (LLMs).
Strong hands-on experience with Retrieval-Augmented Generation (RAG).
Strong hands-on experience with Vector Databases (Pinecone, Weaviate, Milvus, ChromaDB, pgvector, or similar).
Strong hands-on experience with Embeddings and semantic search.
Strong hands-on experience with Retrieval optimization.
Experience building document parsing, OCR, extraction, indexing, and document ingestion pipelines.
Experience integrating LLM APIs (OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source models).
Experience implementing Streaming APIs and Server-Sent Events (SSE).
Experience implementing document citation and reference generation.
Experience designing and developing Agentic AI solutions using multi-agent frameworks and MCP.
Strong experience with REST APIs.
Strong experience with Microservices.
Strong experience with Git.
Strong experience with Agile/Scrum.
Minimum 5 years of software development experience.
Minimum 2 years of hands-on experience building production AI/LLM applications.

Experience with AI orchestration frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or LangChain.
Experience building AI workflow automation and agent orchestration.
Familiarity with Langfuse, Arize AI, or similar AI observability and evaluation platforms.
Experience with Docker.
Experience with Kubernetes.
Experience with CI/CD.
Knowledge of Terraform.
Knowledge of Infrastructure as Code (IaC).
Knowledge of DevOps.
Experience with AWS.
Experience with Azure.
Experience with Google Cloud Platform.

Skills