Note: The job is a remote job and is open to candidates in USA. Codvo.ai is seeking a Senior AI Engineer with strong full-stack capabilities to join their engineering team. The role involves designing and building AI agent pipelines, integrating Large Language Models, and developing end-to-end product features while collaborating with clients to translate business requirements into scalable software solutions.

Responsibilities

• Design and build AI agent pipelines, including multi-node LangGraph graphs
• Implement intent routing, multi-turn conversational context, session state management, and tool integrations
• Develop multi-step reasoning pipelines and graph-based agent workflows
• Build and maintain Retrieval-Augmented Generation (RAG) systems
• Design vector search architectures, embedding pipelines, retrieval grounding, and chunking strategies
• Implement hallucination mitigation techniques and retrieval evaluation frameworks
• Integrate and optimize Large Language Models (LLMs) including OpenAI, Gemini, and Anthropic
• Develop structured output workflows using JSON schemas
• Create effective prompt engineering strategies, few-shot examples, and context window management solutions
• Build provider-neutral client architectures to support multiple LLM vendors
• Design, develop, and deploy end-to-end product features
• Build scalable FastAPI backends and React/Next.js frontends
• Implement Server-Sent Events (SSE) streaming and REST API contracts
• Deliver production-ready UI features independently without requiring dedicated frontend support
• Own LLM observability including: Token usage logging, Cost tracking, Fallback detection, Performance monitoring, Regression test suites
• Build evaluation pipelines and golden test suites to ensure AI quality and consistency
• Collaborate directly with clients and stakeholders to understand business requirements
• Translate requirements into scalable, maintainable software solutions
• Keep technical documentation, specifications, and test coverage aligned with product changes

Skills

• LangGraph or equivalent graph-based agent frameworks
• Multi-step reasoning pipelines
• Tool usage and orchestration
• State management and conversational workflows
• End-to-end RAG pipeline design and implementation
• Experience with vector databases such as Pinecone, Qdrant, pgvector, Weaviate
• Chunking strategies and retrieval optimization
• Retrieval evaluation methodologies
• OpenAI, Gemini, and Anthropic SDKs
• Prompt engineering and prompt optimization
• Structured JSON outputs
• Context window management
• Multi-provider LLM integrations
• Python 3.12
• FastAPI
• Async Python
• Pydantic
• SQLite
• PostgreSQL
• Redis
• Pytest
• React
• Next.js
• TypeScript
• Modern frontend architecture
• API integration and state management
• Evaluation pipelines
• Golden datasets and test suites
• Regression tracking
• Model performance monitoring
• ArcGIS REST APIs
• GeoJSON
• MapLibre GL JS
• Spatial queries
• Recharts
• D3.js
• Equivalent charting libraries
• Docker
• Azure
• AWS
• CI/CD pipelines
• OIDC Authentication
• Ability to understand and interpret Figma designs
• Evaluate trade-offs between engineering effort and business value
• Deliver solutions aligned with business objectives

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