לוח משרות דרושים מתכנת Python ברעננה, לחיפוש זה נמצאו 4 משרות

We are looking for an experienced networking software engineer. An awesome candidate is highly technical who is also comfortable with dealing with enterprise customers. You will join a team of Solution Engineers focused on the Mellanox Networking, DGX Platforms, Container Orchestrators, Deep Learning containers, and other Enterprise related system software.

Solution Engineers spend approximately 50% of their time helping customers with their most complex problems and 50% of their time doing development related work. This individual should have proven grasp of datacenter and networking technologies, to provide comprehensive solutions for complex installations, maintenance, or operations for a broad scope of leading-edge networking products.

What you'll be doing:

Develop features and tools as part of solution engineering efforts to support all Enterprise Service offerings including, but not limited to Networking/switching products.

Work with our Enterprise customers and internal users to improve the availability, reliability, and overall experience of working with our Networking products.

Take ownership and drive customer issues with Ethernet or InfiniBand switch network deployments from inception to resolution.

Bring independent analysis, communication, and problem-solving to customer experience.

Collaborate with engineering to document, recreate and solve issues.

We are looking for a talent Software Engineer to join our Ethernet Switch SONiC Network OS. We have amazing GPUs that power AI applications, but they also require a high-performance network to support them. As a team member, you will have the opportunity to create innovative software that optimizes AI networks for the best performance possible. In this position you will take part in SONiC large worldwide community, contributing new features, bugs fixes and have our Switch products running with SONiC NOS in production in different clusters over the world.


What you'll be doing:

Design and implement features as part of the SONiC release train on top of our Switch products.

Be part of our SONiC R&D team, contribute code to SONiC worldwide community.

Work in a Continuous Deployment environment of fast development/deployment cycles.

Work with experienced teams which are well known in the SONiC community.

The Ecosystems Engineering group is seeking a Software Engineer to join our growing team. In this role, you will work with a diverse team of highly motivated engineers on designing and implementing a new Edge Management solution, focused on scale, high availability and resilience, to simplify the management of edge computing infrastructure. You will also be working closely with the product management, other engineering groups within and with partners and lighthouse customers.
What you will do
Play an active role in designing and implementing a new Edge Management product.
Explore deep code integration into various products.
Collaborate with UX, UI and QE teams in order to deliver great experience to our partners and customers.
Coordinate with team leads, architects, and other engineers on the design and architecture of our offerings.
Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and respond to security threats.
Work with our Global Customer Support team and partner support teams on resolving customer issues.
Work with the Quality Engineering (QE) team to ensure that products are tested correctly.
Publicize the team's work through blogs, web postings or conference talks.

We are looking for a Senior Backend Engineer specialized in Generative AI to design agent workflows, optimize interactions with models (OpenAI, AWS Bedrock), and ensure the reliability of non-deterministic systems in production.

Tech Stack: Python (Asyncio), FastAPI, LangChain, LangGraph, Pydantic, Elasticsearch, AWS Bedrock / OpenAI API, LangSmith.

What You'll Do
Agent Architecture: Design and implement complex agent orchestration logic using LangGraph. You will define state management, conditional routing, and error handling within the agent graph.
Tool Engineering: Build and optimize the tool layer (function calling) that allows LLMs to interact with internal financial APIs and databases accurately.
Performance Optimization:
-Reduce end-to-end latency through asynchronous processing and streaming (SSE).
-Implement semantic caching strategies to minimize API costs and response time.
-Optimize token usage without sacrificing answer quality.
Observability & Evaluation: Implement automated evaluation pipelines using LangSmith. You will be responsible for setting up regression testing for prompts and agents to measure quality (correctness, faithfulness) before deployment.
Advanced RAG: Refine retrieval strategies. Work on hybrid search implementation (Keyword + Vector), re-ranking, and query expansion to feed the most relevant context to the model.