Senior SDE - AI Platform Engineer at Affle | AdTechTalent
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Affle
Senior SDE - AI Platform Engineer
LLM AI TypeScript JavaScript Node.js Python React AWS LangChain LangGraph Claude GPT-4o RAG agentic frameworks prompt engineering vector databases observability AI tooling MCP GitHub Copilot Cursor Augment Code
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Join Affle and work on a role built for experienced AdTech operators.
Full job description Senior SDE role focused on building and shipping AI-powered workflows, agents, and features into production. Requires fluency in LLM application design, agentic frameworks, and AI tooling. Responsibilities include designing LLM-powered features, architecting RAG pipelines, building multi-step agentic workflows, standardizing AI-assisted engineering workflows, embedding AI agents into development cycles, partnering cross-functionally to identify AI automation opportunities, running model quality evaluations, documenting AI systems, and ensuring responsible AI practices with monitoring and validation. Required skills include 3+ years experience with LLM-powered production features, knowledge of Claude, GPT-4o, open-source models, agentic frameworks (LangGraph, LangChain, LlamaIndex, CrewAI), RAG pipelines, prompt engineering, AI developer tooling (Claude Code, Cursor, GitHub Copilot, Augment Code, MCP), strong TypeScript/JavaScript/Node.js skills, Python for ML tooling, React or equivalent front-end frameworks, AWS or equivalent cloud services, and observability tooling for LLM systems.
What you'll do Design, build, and ship LLM-powered features and bounded autonomous agents with observability, latency budgets, and fallback behaviour Similar jobs
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Architect RAG pipelines — chunking, embedding selection, retrieval, and re-ranking — for internal knowledge bases and product surfaces
Build multi-step agentic workflows (LangGraph, LangChain, CrewAI, Claude Agent SDK) with scoped tool sets, structured outputs, and auditable side-effects
Standardise AI-assisted engineering workflows — Claude Code, Cursor, GitHub Copilot, Augment Code — driving measurable feature delivery improvements
Author CLAUDE.md / AGENTS.md context files, shared system prompts, slash commands, and MCP integrations for the engineering team
Embed AI agents into code-review and test-generation loops with guardrails ensuring AI output meets engineering quality standards
Partner with Product, Engineering, Data, and Operations to identify and scope high-leverage AI automation opportunities
Run structured evals and prompt experiments; maintain harnesses that track model quality and alert on regressions after upgrades
Document AI system designs, agent architectures, prompt libraries, and runbooks so the team can maintain and extend AI features independently
Instrument LLM features with structured logging, cost tracking, and latency monitoring; own SLOs and incident response for AI-driven workflows
Apply output validation (Zod / JSON Schema) and human-in-the-loop checkpoints to manage hallucination risk in production Requirements 3+ years building and shipping LLM-powered features or AI agents in production Working knowledge of Claude (Sonnet / Opus), GPT-4o, and/or open-source models (Llama, Hugging Face ecosystem) Proficiency with agentic frameworks: LangGraph, LangChain, LlamaIndex, or CrewAI; experience designing bounded, auditable agent workflows Hands-on RAG experience: chunking, embeddings, vector stores (Pinecone, ChromaDB, pgvector), retrieval strategies, and re-ranking Strong prompt and context engineering: system prompt design, structured output enforcement (JSON Schema / Zod), and prompt caching Experience with Claude Code — context files (CLAUDE.md), slash commands, and agent guardrails Experience with Cursor — AI-assisted coding and codebase-aware refactoring workflows Experience with GitHub Copilot and/or Augment Code in daily development and code-review cycles Experience with MCP (Model Context Protocol) — configuring or authoring MCP servers for agent context management Strong TypeScript / JavaScript and Node.js skills; Python for ML tooling is a plus Experience with React or equivalent front-end framework; ability to build streaming, real-time AI-powered UIs Experience with AWS or equivalent cloud (Lambda, API Gateway, S3, DynamoDB); REST, WebSockets, SSE, OAuth 2.0 Experience with observability tooling applied to LLM systems: structured logging, cost tracking, latency dashboards Tech stack LLM TypeScript JavaScript Node.js Python React AWS Lambda API Gateway S3 DynamoDB REST WebSockets SSE OAuth 2.0 Claude GPT-4o Llama Hugging Face LangGraph LangChain LlamaIndex CrewAI Pinecone ChromaDB pgvector Zod JSON Schema Cursor GitHub Copilot Augment Code MCP Weaviate Qdrant
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Company
Affle Affle 3i Limited is a global technology company enabling AI-led solutions in mobile advertising. Affle enables advertisers to optimize targeting, personalize user engagement and maximize ROI by combining proprietary data, deep audience insights and advanced generative AI capabilities. With our market-leading portfolio of tech platforms, we empower brands to move beyond automation toward next-gen experiences with measurable impact. Our consumer intelligence platforms deliver personalized solutions at scale, helping marketers connect with audiences in more relevant and meaningful ways. With innovative tech-powered capabilities, we drive performance across every stage of the mobile marketing journey. We are augmenting our authentic intelligence with AI-powered agents and algorithms, going beyond efficiency to adapt in real time and influence outcomes that matter. Affle 3i Limited is listed on the NSE (AFFLE) and BSE (542752).
Industry
Software Development
Website
https://www.affle.com
Posted
3 months ago
Category: Engineering
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