ML / AI Engineer – Platform / Agentic / LLM

About the job

Job Description: ML / AI Engineer – Platform / Agentic / LLM Location: Bengaluru / Mumbai Work Mode: Onsite Experience: 5–10 years About the Role We are hiring a ML / AI Engineer – Platform / Agentic / LLM who has hands-on experience building ML / AI platforms from scratch not just extending existing systems. You will architect and develop the core Intelligence Platform: agentic workflows, LLM orchestration, retrieval pipelines, evaluation layers, and foundational services that future AI applications will be built on. Key Outcomes • Build the AI / ML platform from scratch — core engine, services, pipelines, orchestration, and infrastructure. • Create scalable agentic workflows and multi-step reasoning systems. • Design and ship RAG architectures, embeddings pipelines, and vector retrieval systems. • Build reusable platform components that power multiple internal and external applications. Responsibilities • Architect and implement the entire platform lifecycle, from blank-sheet design → POC → scalable production system. • Develop LLM orchestration layers, task routers, executor engines, and evaluation frameworks. • Build RAG systems: chunking, vector schemas, scoring, retrieval optimization, and evaluation. • Own embedding pipelines and integrate vector databases such as Pinecone, Weaviate, FAISS, Chroma. • Implement agentic pipelines and multi-tool workflows that operate autonomously. • Make core architectural decisions around microservices, APIs, observability, scaling, and reliability. • Collaborate with product and leadership teams to evolve the platform’s roadmap. • Write clean, production-grade code with strong testing, monitoring, and documentation. Required Skills & Experience • 5–10 years overall engineering experience, with 3–5 years in ML / AI or platform engineering. • Proven experience building large-scale ML / AI / LLM platforms from scratch (not only PoCs, not only model experimentation). • Strong Python engineering skills. • Deep experience with: LLMs (OpenAI, Anthropic, Llama, etc.), RAG systems & vector retrieval, embeddings, vector DBs (FAISS, Pinecone, Weaviate, Chroma). • Strong understanding of platform principles: service design, data pipelines, load distribution, latency optimization. • Experience reducing hallucinations through data design, scoring, and retrieval tuning. • Ability to handle ambiguity and build in zero- to-one, high-ownership environments. • Track record showing 50%+ time spent coding and solving deep technical problems. Why Join Us • Direct ownership of building a ground-up Intelligence Platform used across multiple products. • Solve deep engineering challenges at the intersection of LLMs, agents, and platform architecture. • Work with a high-caliber team in a fast-paced, high-impact environment. • Opportunity to influence systems, architecture, and long-term platform vision.

Requirements

• ML
• AI
• Platform Engineering
• Agentic Workflows

Qualifications

• 5–10 years overall engineering experience
• 3–5 years in ML / AI or platform engineering

Preferred Technologies

• ML
• AI
• Platform Engineering
• Agentic Workflows