← Back to Jobs
Associate Software Platform Engineer II
Noida, Uttar Pradesh
3 weeks ago
💻 Open SourceExplicitly mentions OpenAI Vibe Coding and agentic AI frameworks; hands-on GenAI, RAG and LLM workflows.
About the Role
Early-career AI platform engineer role focused on building and integrating LLM-powered systems, agentic workflows, and retrieval-augmented solutions. Work on Python backend components, APIs, vector search and multi-agent orchestration while collaborating with senior engineers and business stakeholders in a hybrid environment.
Job Description
Role
Associate Software Platform Engineer II working on AI platform engineering to design, develop, test, and integrate LLM-powered solutions, multi-agent workflows, and GenAI toolchains.
Key Responsibilities
- Assist in designing, developing, and testing AI agents, GenAI workflows, and LLM-powered solutions.
- Support implementation of retrieval-augmented workflows (RAG) including embeddings, vector databases, and context engineering.
- Develop Python-based backend components, APIs, and integration logic for AI-driven systems.
- Collaborate with senior AI engineers to build multi-agent workflows, tool integrations, and agent orchestration pipelines.
- Contribute to development within AI platforms such as Azure AI Foundry and MCP-based tool ecosystems.
- Engage with business stakeholders to translate problems into AI-enabled solutions.
- Test, validate, and evaluate LLM outputs, applying guardrails and quality checks.
- Maintain documentation for prompts, workflows, tools, and AI system behaviors.
- Participate in Agile ceremonies and sprint activities.
Requirements
Education
- Bachelor’s degree in Computer Science, AI/ML/DS, Information Systems, Engineering, or related field.
Experience
- 1–2 years of hands-on experience in AI/ML, Generative AI, or software engineering involving LLMs.
Technical Knowledge & Skills
- Experience with LLMs, embeddings, vector databases, prompt engineering, and retrieval workflows (RAG).
- API development and integrating with REST-based services.
- Exposure to cloud platforms such as Azure (preferred), AWS, or GCP.
- Familiarity with agentic AI frameworks (e.g., LangChain, LangGraph, Azure AI Agent Services) and MCP concepts.
- Basic understanding of vector search implementations (Azure AI Search, Pinecone, FAISS).
- Familiarity with cloud-native development patterns: Functions, Storage, APIM, serverless patterns, Azure App Services.
- Experience using AI coding assistants such as GitHub Copilot or OpenAI Vibe Coding.
- Strong analytical/problem-solving skills, communication, collaboration, and documentation practices.
Preferred / Other
- Understanding of AI safety and governance principles.
- Agile development experience.
Location / Work Model
- Hybrid role requiring a minimum of 3 days per week in office.