Senior AI / Platform Engineer

AMS Accelerate IT; United States; Remote; USD 130,000 - 185,000; Full time

Job summary

AMS Accelerate IT is seeking a talented Backend Software Engineer with a focus on AI/ML to design, implement, and maintain scalable backend services primarily in Python.

You will build data pipelines for AI/ML production use cases, deploy Generative AI systems (APIs, SDKs, pipelines), and develop APIs to serve AI features to downstream applications. You will also monitor, log, and observe GenAI services to ensure performance and reliability.

Qualifications

• 5+ years of Python backend development experience.
• Strong knowledge of software engineering principles, clean code practices, and testing methodologies.
• Practical experience with Python backend frameworks: FastAPI (preferred), Flask or Django.
• Practical experience with SQL databases and related Python libraries.
• Hands-on cloud experience: Azure (preferred), AWS or GCP.
• Experience designing and implementing scalable backend services (APIs, data pipelines, SDKs).
• Practical experience with building and deploying AI-based applications, including LLMs and embedding models.
• Familiarity with Retrieval-Augmented Generation (RAG) based systems, agentic workflows and Generative AI applications.
• Familiarity with containerized development with Docker.
• Experience with data science Python libraries such as pandas, NumPy, Scikit-learn.
• Experience with Python GenAI frameworks (e.g., LangChain, LangGraph) is a plus.
• Familiarity with CI/CD workflows in GitLab is a plus.
• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana) is a plus.
• Familiarity with gRPC for high-performance service communication is a plus.
• Familiarity with Model Context Protocol (MCP) is a plus.
• Familiarity with AI observability and tracing tools (e.g., Langfuse) is a plus.

Responsibilities

• Design, implement, and maintain scalable Python backends.
• Build data pipelines for AI/ML production use cases.
• Operationalize and deploy Generative AI systems (APIs, SDKs, pipelines).
• Develop APIs to serve AI features to downstream applications.
• Orchestrate agentic workflows using LangChain, LangGraph, or custom solutions.
• Ensure monitoring, logging, and observability of GenAI services.
• Collaborate cross-functionally to ensure system performance, scalability, and reliability.

Skills

Python

APIs design

Data pipelines

GenAI experience

LLMs embedding models

Testing methodologies

Tools

FastAPI

Flask

Django

Docker

GitLab CI/CD

Azure

AWS

GCP

SQL databases

LangChain

LangGraph

Job description

We are seeking a talented Backend Software Engineer with a focus on AI/ML to join our team. In this role, you will be responsible for designing, implementing, and maintaining scalable backend services primarily in Python.

• Design, implement, and maintain scalable backend services in Python
• Build and maintain data pipelines for AI/ML applications for production use-cases
• Operationalize and deploy Generative AI systems (APIs, SDKs, pipelines)
• Develop APIs to serve AI features to downstream applications
• Orchestrate agentic workflows using frameworks like LangChain, LangGraph, or custom solutions
• Ensure monitoring, logging, and observability of GenAI services
• Collaborate cross-functionally to ensure system performance, scalability, and reliability

Note: This position is ideal for a hands-on software engineer with significant exposure to AI product development, rather than a data science or AI/ML research role. We are looking for individuals who excel in operational excellence, have deployment experience, and possess systems-level thinking for real AI applications.

Requirements

• 5+ years of practical experience as a Python backend developer
• Strong knowledge of software engineering principles, clean code practices, and testing methodologies
• Practical experience with Python backend frameworks: FastAPI (preferred), Flask or Django
• Practical experience with SQL databases and related Python libraries
• Hands-on experience with cloud platforms: Azure (preferred), AWS or GCP
• Experience designing and implementing scalable backend services (APIs, data pipelines, SDKs, etc.)
• Practical experience with building and deploying AI-based applications, including LLMs and embedding models (e.g., OpenAI, Anthropic, Hugging Face)
• Familiarity with Retrieval-Augmented Generation (RAG) based systems, agentic workflows and Generative AI applications
• Familiarity with containerized development with Docker
• Experience with data science Python libraries such as pandas, NumPy, Scikit-learn
• Experience with Python GenAI frameworks (e.g., LangChain, LangGraph) is a plus
• Familiarity with CI/CD workflows in GitLab is a plus
• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana) is a plus
• Familiarity with gRPC for high-performance service communication is a plus
• Familiarity with Model Context Protocol (MCP) is a plus
• Familiarity with AI observability and tracing tools (e.g., Langfuse) is a plus

Originally posted on Himalayas