Lang Chain Deployment Engineer

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Convert validated LangChain and agentic AI architectures into maintainable, secure, scalable, and production-ready applications.

• Create LLM-driven assistants, copilots, chatbots, document-processing solutions, decision-support tools, and automated workflows.

• Develop deterministic and agentic workflows utilizing LangGraph, encompassing state management, routing, tool utilization, retries, checkpoints, memory, streaming, and failure recovery.

• Design and implement RAG pipelines, which involve ingestion, chunking, embeddings, indexing, retrieval, reranking, grounding, citations, and access controls.

• Integrate LLMs, embedding models, APIs, databases, search systems, vector stores, business applications, and custom tools.

• Deploy AI applications using Docker, Kubernetes, serverless, or managed cloud environments.

• Implement LangSmith tracing, evaluation, monitoring, dashboards, alerts, and feedback workflows.

• Establish automated quality engineering and evaluation processes.

• Construct offline and online evaluation frameworks, golden datasets, quality thresholds, and release gates.

• Apply AI security and responsible AI practices.

• Optimize AI applications for response quality, latency, throughput, reliability, context utilization, caching, model selection, and token consumption.

• Integrate AI solutions into CI/CD pipelines.

• Produce operational documentation, architecture updates, troubleshooting guides, runbooks, dashboards, alert thresholds, and incident procedures.

• Collaborate with AI architects, Nexaminds delivery leaders, and customer stakeholders.

• Engage in design and code reviews, mentor engineers, and facilitate knowledge transfer.

• Monitor production systems, analyze feedback and failures, and continually enhance AI solution quality, reliability, performance, and cost.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.

• Extensive professional software engineering experience with Python and/or JavaScript/TypeScript, covering API development, asynchronous processing, testing, packaging, dependency management, and code review.

• Practical experience in building production-grade AI agents using LangChain and LangGraph, including chains/runnables, tools, structured outputs, stateful workflows, streaming, persistence, and error handling.

• Experience in developing and deploying LLM-powered applications using commercial model APIs or open-source models.

• Solid understanding of Retrieval-Augmented Generation (RAG), including document ingestion, chunking, embeddings, vector search, metadata filtering, reranking, grounding, and citation patterns.

• Familiarity with at least one vector database or search platform.

• Experience in deploying production-grade AI applications using Docker and Kubernetes.

• Proficiency with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform (GCP).

• Experience transitioning AI applications from POCs to production, including CI/CD, environment management, monitoring, troubleshooting, and operational support.

• Hands-on experience with LangSmith or similar LLM tracing, evaluation, and observability tools.

• Familiarity with the Agent Development Life Cycle (ADLC) and the 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.

• Strong customer-facing communication, technical writing, and consulting abilities.

• Capability to work effectively in ambiguous settings and collaborate with AI architects, engineering, platform, security, data, and product stakeholders.

🏝️ Benefits

• Stock options.

• Remote work options.

• Flexible working hours.

• Benefits exceeding legal requirements.

• Mentorship and opportunities for professional learning and development.

• Collaboration with seasoned IT professionals.