AI Backend Engineer #2

6 дн. назад

АргентинаHybrid

python

AI Backend Engineer role focusing on building platform services for AI agents with a strong Python backend skillset.

🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀 At , we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning. We are looking for an AI Backend Engineer to join our team and work within the AI Platform team of a large-scale organization. 🐶🚀 This team builds the platform other teams use to create AI agents: SDKs, backend services, MCP servers, and a unified inference layer. Your users are other developers, so part of the job is supporting them through adoption. This role requires strong Python backend skills, hands-on experience building and running agents in production, and a product mindset for internal platforms. Ownership, clear communication, and the ability to support and enable other engineers are essential to succeed in this fast-paced, collaborative environment. Hybrid work model.
📊 We are Data Nerds
🤗 We are Open Team Players
🚀 We Take Ownership
🌟 We Have a Positive Mindset

Design and develop backend services and agents using LangChain and LangGraph.
Manage the agent lifecycle, from development and deployment to observability, monitoring, and continuous improvement.
Build and maintain cross-team SDKs.
Develop, publish, and secure MCP servers, including their authentication.
Unify agent inference through LiteLLM or a similar proxy.
Implement guardrails, PII masking, and Agent Skills.
Build and optimize RAG pipelines, vector databases, and context management.
Support the teams that consume the platform, helping them adopt it and unblocking them along the way.

Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.
Amazon Web Services
Astronomer
Databricks
5+ years of backend development experience and 2+ years working with agentic AI.
Strong command of Python and FastAPI (or similar frameworks).
Experience with LangChain, LangGraph, and modern agent-building stacks.
Solid knowledge of MCP across its full lifecycle (development, publishing, and authentication).
Experience with LiteLLM or similar proxies.
Experience with vector databases, RAG, and context optimization.
Knowledge of guardrails, PII masking, and Agent Skills.
Experience building and maintaining SDKs.
Ease supporting other developers.
Stack: Python, FastAPI, LangChain, LangGraph, Langfuse, MCP, LiteLLM.