Fallback strategies jobs

Software Engineer

Mercadolibre · Posted Nov 12, 2026

Open

Buenos Aires, Argentina
Hybrid
Full-time · Mid

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Software Engineer

Mercadolibre · Posted Nov 12, 2026

Open

Buenos Aires, Argentina
Hybrid
Full-time · Mid

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AI Engineer

recruitytalent · Posted Nov 10, 2026

Open

Remote, Bulgaria
Remote
Senior
5+ years

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Design and build agentic solutions and in-product AI assistants for end users, build MCP servers and tool integrations, build retrieval pipelines, integrate LLM providers, work with engineers, document architecture.

Responsibilities

Design and build agentic solutions and in-product AI assistants for end users
Build MCP servers and tool integrations so LLMs can safely work with the product's APIs and data
Build retrieval (RAG) pipelines and manage how much load AI features put on the production database
Integrate LLM providers and manage prompts, structured output, validation, cost and failure handling
Work with the existing engineers on feature development when needed

Requirements

Nice to have: AI assistants in SaaS product
Nice to have: Java front-end experience (React, Vue or Angular)
Nice to have: protecting production database from heavy AI workloads
Nice to have: PostgreSQL
Nice to have: AWS

Skills

Python Java TypeScript REST APIs relational databases

Algorithm and AI Senior/Staff Engineer

Thermo Fisher Scientific · Posted Jun 18, 2026

Open

Singapore, Singapore
On-site
Senior
5+ years

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Design and deliver reliable, robust AI applications, algorithms, and frameworks that elevate the quality and performance of Thermo Fisher Scientific’s product offerings.

Responsibilities

Architect, build and deploy LLM powered agent systems (chatbots, copilots, agents) that are safe, fast, and cost-efficient.
Own the whole product development life cycle: build → prototype → evaluate → harden → monitor.
Build retrieval-augmented generation (RAG) pipelines (indexing, chunking, embeddings, reranking, grounding).
Apply context engineering (prompt design, tool calling, memory, compression, window strategy).
Integrate tools through Model Context Protocol (MCP) and other agent frameworks.

Requirements

Master’s degree in Computer Sciences, Mathematics, Statistics, Bioinformatics or a related field
Ph.D or equivalent experience
Nice to have: SQL/NoSQL
Nice to have: message queues
Nice to have: object storage

Skills

Python LLMs/APIs (Open AI, LangChain or Anthropic, Hugging Face etc)prompt and context engineering for LLMs

Frontier AI Engineer

Postman · Posted Nov 5, 2026

Open

Remote, United States
Remote
Full-time
$300K–$350K per year

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Build and deploy AI and agentic systems for Postman’s customers, spanning the full AI stack from models to production infrastructure.

Compensation

The reasonably estimated base salary for this role ranges from $300,000 to $350,000, plus a competitive equity package.

Responsibilities

Build real AI systems using LLMs, agents, MCP, APIs, tool calling, RAG, vector search, structured outputs, multimodal models, and production AI workflows
Design agentic systems that reason across tools, APIs, enterprise data, and workflows while maintaining identity, permissions, policy, and execution controls
Experiment with foundation models, model routing, inference, prompt and context engineering, fine‑tuning, and trade‑offs between quality, latency, cost, and reliability
Build evaluation systems for agents and LLM applications, including task success, tool correctness, hallucination detection, regression testing, safety, latency, and cost
Implement observability, tracing, guardrails, fallback strategies, rate limits, retries, caching, model gateways, and infrastructure for AI production

Skills

LLMs agents MCP APIs

Fallback strategies jobs

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