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AI Engineer – LLM Applications (US Startup · Remote LATAM)

ITMates

HimalayasRemote
Location
Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bermuda, Bolivia, Bonaire, Sint Eustatius and Saba, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), Grenada, Guatemala, Guyana, Haiti, Honduras, Jamaica, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela, Virgin Islands, British, Virgin Islands, U.S., Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bermuda, Bolivia, Bonaire, Sint Eustatius and Saba, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), Grenada, Guatemala, Guyana, Haiti, Honduras, Jamaica, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela, Virgin Islands, British, Virgin Islands, U.S.
Type
Remote
Salary
Salary not specified
Posted
1 Nov 2026
Client: mid-size US startup (Series B, about 150 people) · Location: remote, LATAM, 4+ hours overlap with US Eastern · Level: mid Engagement: full-time contractor You will ship LLM-powered features into a B2B SaaS product, working with product engineers from prototype to production.
Client: mid-size US startup (Series B, about 150 people) · Location: remote, LATAM, 4+ hours overlap with US Eastern · Level: mid Engagement: full-time contractor You will ship LLM-powered features into a B2B SaaS product, working with product engineers from prototype to production. What you will do Build retrieval-augmented generation pipelines and agent workflows on top of commercial and open-source LLMs Write and version prompts, tools and evaluation sets Integrate AI features into the product's Python and TypeScript services Measure quality, latency and cost, and improve them release over release Add guardrails, logging and tracing for production use What you bring 3+ years of software engineering, at least 1 building LLM applications in production Strong Python; experience with an LLM framework or SDK (LangChain, LlamaIndex or direct provider APIs) Vector databases (pgvector, Pinecone or Weaviate) and embedding-based search API design, testing and CI/CD habits Advanced English Nice to have Evaluation tooling (LangSmith, Braintrust, Ragas) TypeScript and React Fine-tuning or classical ML background Originally posted on Himalayas