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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Agent Software Engineer - **Company:** Genuinexs LLC - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, Databases, Continuous Integration, Python (Programming Language), PostgreSQL, Open Source Technology, Redis, Software Engineering, TypeScript, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Grafana, Multi-Agent Systems, Prompt Engineering, Software Application Programming, Fastapi, Containerization, Kubernetes, Virtual Agents, Api Design, GPT, Software Version Control, Docker, Web Api, Microservices - **Published:** May 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=567bf2a242dfe814 ## About the Role Do you have experience in Version control systems?, * 3+ years of professional software engineering experience * Strong proficiency in Python (and ideally TypeScript/JavaScript) * Hands-on experience building applications with LLM APIs (Anthropic, OpenAI, Google, or open-source models) * Experience with at least one agent framework (LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, etc.) * Understanding of prompt engineering, function/tool calling, and structured outputs * Experience with RAG systems and vector databases * Familiarity with async programming, API design, and microservices * Solid understanding of software engineering fundamentals: testing, version control, CI/CD, * Experience deploying agents to production at scale * Knowledge of Model Context Protocol (MCP) and tool integration patterns * Background in ML/NLP or fine-tuning techniques (LoRA, RLHF basics) * Experience with evaluation frameworks (LangSmith, Braintrust, custom evals) * Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) * Contributions to open-source AI projects * Understanding of AI safety, alignment, and responsible AI practices Tech Stack You'll Work With * Python * TypeScript * FastAPI * LangGraph * Anthropic/OpenAI SDKs * vector databases * PostgreSQL * Redis * Docker * AWS/GCP * observability tools (Langfuse, Helicone, etc.) ## Description We're looking for a Software Engineer specializing in AI agent development to design, build, and deploy autonomous and semi-autonomous AI systems. You'll work at the intersection of large language models, tool use, and software engineering to create agents that can reason, plan, and execute complex tasks., * Design and develop AI agents using frameworks like LangChain, LangGraph, CrewAI, AutoGen, or the Anthropic/OpenAI SDKs * Build multi-agent systems with orchestration, memory, and tool-use capabilities * Integrate LLMs (Claude, GPT, Llama, etc.) with external APIs, databases, vector stores, and MCP servers * Implement RAG (Retrieval-Augmented Generation) pipelines using vector databases like Pinecone, Weaviate, Chroma, or pgvector * Develop and optimize prompts, system instructions, and agent workflows * Build evaluation harnesses to test agent reliability, accuracy, and safety * Implement guardrails, observability, and monitoring for agents in production * Collaborate with product, design, and ML teams to translate requirements into agent capabilities * Handle latency, cost optimization, token usage, and model selection trade-offs * Stay current with rapidly evolving AI tooling and best practices ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [A 5-Step Open-Source Setup for Agentic Engineering](https://www.wearedevelopers.com/magazine/738-a-5-step-open-source-setup-for-agentic-engineering) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)