Senior AI / Platform Engineer
Free to start · No card · 5 credits the moment you sign up
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. Your main tasks will involve building and managing data pipelines for AI/ML applications, as well as operationalizing and deploying Generative AI systems for production use.
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
Offer 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
Prepare your application
Use the description above to assess your fit for AMS Accelerate IT. This checklist is guidance from Resumize, rather than additional requirements from the employer. Imported listings can be shortened or change after collection, so confirm the complete description and current availability before sending an application.
Match requirements to evidence
Identify the responsibilities and skills the employer explicitly names. For each important requirement, choose one example from your work, education, training, or projects. Explain what you did, how you did it, and what changed as a result. Include a measurable outcome when you can support it. If you lack a requirement, describe related experience accurately instead of adding an unfamiliar skill to your resume.
Put the most relevant examples near the top of your resume. Keep job titles, dates, qualifications, and contact details consistent across your application materials. Use the employer’s terminology when it describes your experience accurately; a copied list of keywords does not explain your contribution. A short, specific bullet is easier to review than a paragraph that mixes several unrelated duties.
Check the working arrangement
Confirm the location, schedule, employment type, and any eligibility requirements on the employer’s site. A remote label does not establish worldwide eligibility or flexible hours. If compensation, benefits, equipment, travel, or contract duration are missing from this listing, write down your questions for the recruiter. Do not assume details from another opening at the same company apply to this role.
Review before submitting
Follow the employer’s requested file format and application instructions. Open your exported resume and check that its text is selectable, its sections read in order, and its links work. Proofread names, dates, and contact information. Share confidential work samples only when you have permission, and use an anonymized example when necessary.
Submit through a trusted employer or recruiting destination. If the original listing has disappeared, search the employer’s careers page for the title rather than assuming the vacancy remains open. Save the application date, job reference, and the version of your resume you sent. Those details help you prepare for a later conversation and avoid submitting conflicting information through several job boards.
Review your resume for writing and readability feedback, or browse other openings if this opportunity is unavailable.