Lang Chain Deployment AI Engineer
Builds and deploys production-grade AI systems using LangChain/LangGraph, focusing on RAG, agentic workflows, and LLM-powered applications. Translates AI architectures into scalable, observable, and secure cloud-native solutions with Kubernetes, vector databases, and observability tools.
- Compensation
- Not disclosed
- Location
- Mexico
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
- Strong professional software engineering experience with Python and/or JavaScript/TypeScript
- Hands-on experience with LangChain and LangGraph, including chains/runnables, tools, structured outputs, stateful workflows, streaming, persistence, and error handling
- Experience developing and deploying LLM-powered applications using commercial model APIs (e.g., OpenAI, Anthropic, Google) or open-source models
- Strong understanding of Retrieval-Augmented Generation (RAG), including document ingestion, chunking, embeddings, vector search, metadata filtering, reranking, grounding, and citation patterns
- Experience with at least one vector database or search platform (e.g., Pinecone, Weaviate, pgvector/PostgreSQL, Elasticsearch)
- Experience deploying production-grade AI applications using Docker and Kubernetes
- Experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform (GCP)
- Experience taking AI applications beyond POCs into production, including CI/CD, environment management, monitoring, troubleshooting, and operational support
- Hands-on experience with LangSmith or comparable LLM tracing, evaluation, and observability tools
- Familiarity with Agent Development Life Cycle (ADLC) and production deployment of configurable AI agents
- Working knowledge of application security, including IAM, secrets management, encryption, API security, auditability, privacy, and secure software development practices
Nice to have
- Experience with LangChain enterprise products (e.g., LangSmith, Fleet, Deep Agents)
- Experience designing or implementing multi-agent systems, supervisor patterns, long-running workflows, durable execution, event-driven integrations, or human approval workflows
- Experience with cloud AI platforms such as Amazon Bedrock, Azure AI Foundry/Azure OpenAI, or Google Vertex AI
- Experience with Infrastructure as Code and delivery tools (e.g., Terraform, Helm, GitHub Actions, Argo CD)
- Experience with observability platforms (e.g., OpenTelemetry, Datadog, Grafana, Prometheus)
- Knowledge of LLM evaluation, model and prompt versioning, red teaming, adversarial testing, hallucination analysis, retrieval evaluation, and human feedback programs
- Experience working in regulated or data-sensitive environments
- Relevant certifications in cloud, Kubernetes, security, data engineering, or AI/ML
Full description
Unlock Your Future with Nexaminds!
At Nexaminds, we're on a mission to redefine industries with AI. We're passionate about the limitless potential of artificial intelligence to transform businesses, streamline processes, and drive growth.
Join us on our visionary journey. We're leading the way in AI solutions, and we're committed to innovation, collaboration, and ethical practices. Become a part of our team and shape the future powered by intelligent machines. If you're driven by ambition, success, fun, and learning, Nexaminds is where you belong.
This position is open exclusively to candidates who are currently residing in Mexico. Before applying, we encourage you to review our open positions and make sure the location requirements match your current location. Candidates who are not currently based in Mexico will not be contacted for this opportunity.
Nexaminds is looking for a LangChain Deployment AI Engineer to join our team and deliver production-grade generative and agentic AI solutions. The ideal candidate has strong hands-on experience with Python and/or JavaScript/TypeScript, LangChain, LangGraph, RAG, LLM applications, and cloud deployment, with proven experience taking AI solutions beyond proof-of-concept into reliable production environments.
This role focuses on translating approved AI architectures into secure, scalable, observable, and maintainable production systems, while working closely with AI architects, engineering teams, and customer stakeholders. The successful candidate will build and deploy LLM-powered applications, agentic workflows, RAG solutions, evaluation pipelines, and integrations, while ensuring strong quality, security, performance, and operational readiness.
Location: MEXICO (Remote)
Qualifications we are looking for:
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent practical experience.
- Strong professional software engineering experience with Python and/or JavaScript/TypeScript, including API development, asynchronous processing, testing, packaging, dependency management, and code review.
- Hands-on experience building production-grade AI agents using LangChain and LangGraph, including chains/runnables, tools, structured outputs, stateful workflows, streaming, persistence, and error handling.
- Experience developing and deploying LLM-powered applications using commercial model APIs such as OpenAI, Anthropic, Google, or cloud-hosted equivalents, and/or open-source models.
- Strong understanding of Retrieval-Augmented Generation (RAG), including document ingestion, chunking, embeddings, vector search, metadata filtering, reranking, grounding, and citation patterns.