> Markdown version of [/jobs/ext/1898337-fs-ai-engineer-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/1898337-fs-ai-engineer-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # FS Ai Engineer/ AI/ML Engineer - **Company:** Connvertex Technologies Inc. - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Continuous Integration, Software Debugging, Programming Tools, Distributed Systems, Python (Programming Language), Node.Js, Open Source Technology, Software Engineering, Systems Integration, Data Logging, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Mttr, Containerization, Kubernetes, Infrastructure Automation Frameworks, Machine Learning Operations, Docker - **Published:** August 1, 2026 - **Apply:** https://www.careerjet.com/jobad/usb35862eaf49aaf9271aa7fd5168d3ecd ## About the Role * 5+ years of Strong Software Engineering (Python/NodeJS), system design and production service experience. * 2+ years of Experience with LLMs, prompt engineering, and agent frameworks. * 2+ years of Experience Practical experience implementing RAG: embeddings, vector DBs and retrieval tuning. * 2+ years of Experience with LangChain patterns and with toolchain telemetry (Langfuse or similar) for prompt/model traceability. * 5+ years of Experience with Kubernetes, Docker, CI/CD and infrastructure as code experience. * 2+ years of Experience with Practical experience with Google Cloud Platform services * 2+ years of Experience with Observability, testing, and security best practices for distributed systems. * 2+ years of Experience with evaluating and mitigating retrieval/augmentation failures, hallucinations, and leakage risks in RAG systems. * Familiarity with vendor and open source vector stores and embedding providers ## Description We are seeking an experienced AI/ML Engineer to design, build, and operate AI/ML infrastructure and agentic systems. This role involves developing MCP servers and agents, integrating LLMs, and implementing RAG pipelines for production environments. Key Responsibilities * Design, build and operate MCP servers and MCP agents that host, orchestrate and monitor AI/agent workloads * Develop agentic AI, prompt engineering patterns, LLM integrations and developer tooling for production use. * Own deployment, scaling, reliability and cost-efficiency on Kubernetes/Docker and Google Cloud with automated CI/CD * Design and implement RAG (Retrieval Augmented Generation) pipelines and integrations with vector stores and retrieval tooling; use LangChain and Langfuse for orchestration, chaining, and observability. Core Responsibilities: * Implement and maintain MCP server and agent code, APIs, and SDKs for model access and agent orchestration. * Design agent behavior, workflows and safety guards for agentic AI systems. * Create, test and iterate prompt templates, evaluation harnesses and grounding/chain of thought strategies. * Integrate LLMs and model providers (self hosted and cloud APIs) with unified adapters and telemetry. * Build developer tooling: CLI, local runner, simulators, and debugging tools for agents and prompts. * Containerize services (Docker), manage orchestration (Kubernetes/GKE), and optimize nodes, autoscaling and resource requests. * Ensure observability: logging, metrics, traces, dashboards, alerting and SLOs for model infra and agents. * Create runbooks, playbooks and incident response procedures; reduce MTTR and perform postmortems. * Design and maintain RAG workflows: document chunking, embeddings, vector indexing, retrieval strategies, re ranking and context injection. * Integrate and instrument LangChain for composable chains, agents and tooling; use Langfuse (or equivalent tracing) to capture prompts, model calls, RAG traces and evaluation telemetry., Job Title: Production AI Platform Engineer (GCP) Location : Dallas, TX/ Basking Ridge, NJ/Atlanta, GA (Hybrid position, 2-3 days onsite) Long term position We are looking for c… + 15 hours ago + ## Related Videos - [Accelerating GenAI Development: Harnessing Astra DB Vector Store and Langflow for LLM-Powered Apps](https://www.wearedevelopers.com/videos/966-accelerating-genai-development-harnessing-astra-db-vector-store-and-langflow-for-llm-powered-apps) - [Stop using Node.js like in 2020! What changed and what you can do today with Node.js](https://www.wearedevelopers.com/videos/100011-stop-using-node-js-like-in-2020-what-changed-and-what-you-can-do-today-with-node-js) - [What Developers Get Wrong About Application Quality](https://www.wearedevelopers.com/videos/233-what-developers-get-wrong-about-application-quality) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) - [Best practices: Building Enterprise Applications that leverage GenAI](https://www.wearedevelopers.com/videos/1513-best-practices-building-enterprise-applications-that-leverage-genai) ## Related Articles - [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) - [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) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)