Note: The job is a remote job and is open to candidates in USA. Diverse Lynx is seeking a Senior Agentic AI Engineer to build production-grade artificial intelligence solutions. The role focuses on designing and developing enterprise-grade agentic AI applications, orchestrating multi-agent workflows, building Python and React applications, implementing RAG and vector search architectures, and ensuring the scalability, reliability, security, observability, and performance of AI systems.
Responsibilities
- Design and develop enterprise-grade Agentic AI applications
- Build and orchestrate AI agents using LangGraph and LangChain
- Develop scalable backend services using Python/FastAPI
- Build responsive frontend applications using React
- Develop multi-agent workflows with planning, memory, and tool integration
- Implement RAG-based architectures and vector search solutions
- Integrate LLMs with enterprise APIs, tools, and databases
- Implement AI observability, tracing, monitoring, and evaluation
- Perform prompt optimization and model performance tuning
- Create reusable AI workflow and orchestration components
- Work closely with Architects, Product Teams, and Platform Engineers
- Ensure scalability, reliability, and security of AI applications
Skills
- 5–6 years of experience in Core Application Engineering
- Minimum 2 years of hands-on experience in Agentic AI Engineering
- Delivered at least 2 production-grade Agentic AI applications as an Engineer
- Strong understanding of: Agentic AI, Multi-Agent Systems, AI Workflows, Agent Orchestration, MCP (Model Context Protocol)
- Strong experience in: Prompt Engineering, RAG Architecture, AI Observability, AI Testing & Evaluation, LLM Fine-Tuning Concepts, Tool Calling & Function Calling
- Backend Development: Python, FastAPI / Flask, REST API Development
- Frontend Development: React, TypeScript / JavaScript, CSS
- Experience with: Docker, Kubernetes, CI/CD Pipelines, GitHub / Azure DevOps, Azure Cloud Services (Document intelligence, Azure Vision, Cognitive Services etc..)
- Database & Infrastructure: PostgreSQL / MongoDB, Redis, Vector Databases (ChromaDB, Pinecone, FAISS)
- Strong problem-solving and debugging skills
- Good understanding of scalable application architecture
- Ability to independently own engineering deliverables
- Experience building production-ready AI solutions
- Understanding of software engineering best practices
- Familiarity with: LangFus, PromptFo, Raggas, LangSmith, OpenTelemetry, Weights & Biases
- Strong communication and collaboration skills
- Ability to quickly learn evolving AI technologies
- Experience working in Agile/Scrum environments
- Passion for Generative AI and autonomous agent systems
- Strong tech enthusiast with continuous learning attitude
- Automation-first problem solving approach
- Actively explores and adopts new tools and open to work on new areas
- Uses AI as a force to multiply your productivity, not just an assistant
- Hands-on experience with: LangGraph, LangChain, CrewAI & AutoGen (Good to Have)
Benefits
- Remote work arrangement
Company Overview
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