Lead engineer

Location: Bangalore (On-site) Experience: 6–8 years Type: Full-time About Aimplify At Aimplify, we’re transforming how enterprises operate with intelligent, autonomous AI agents. Our mission is to power next-gen automation using LLMs, multi-agent systems, and real-time data pipelines—across industries like supply chain, finance, compliance, HR, and sustainability. We’re a passionate team of builders, and we’re looking for a Lead Engineer to help us scale our core platforms and define the future of enterprise agentic automation. What You’ll Do System Architecture & Development Lead the design, architecture, and implementation of enterprise-grade AI agent frameworks for automation. Build modular, scalable, and secure microservices integrating with LLMs, RAG systems, and enterprise data platforms. Architect and implement Lang Graph / orchestration pipelines for multi-agent collaboration and workflows. Develop robust APIs (REST/Graph QL) for agent deployment, orchestration, and Saa S consumption. Lead Playwright/Selenium/Browserbase automation for enterprise-scale browser and workflow automation. Ensure observability, metering, logging, and monitoring for agent workflows in production. AI & Agent Integration Integrate and fine-tune LLMs (Open AI, Claude, Mistral, LLa MA, etc.). Apply RAG, embeddings (FAISS, Chroma, Pinecone, Milvus, Weaviate), and prompt engineering for enterprise-grade AI use cases. Team Leadership & Collaboration Mentor and guide engineers in AI/ML, distributed systems, and backend best practices. Collaborate closely with product, design, and client teams to translate enterprise requirements into scalable solutions. Drive quality, delivery timelines, and innovation culture across the team. Security & Compliance Ensure compliance with enterprise security, data governance, and regulatory requirements. Implement secure coding, RBAC, OAuth2, SSO/SAML, and encryption practices. Technical Skills & Expertise Programming: Proficiency in Python (Fast API, Lang Chain/Lang Graph); Node.js/Type Script preferred. LLM & AI Ecosystem: Hands-on with Open AI, Anthropic, Lang Graph, Lang Chain, RAG architectures, and vector databases (Weaviate, Pinecone, Milvus, FAISS). Data Engineering: Strong experience with multi-source data ingestion, preprocessing, and analytics workflows. Automation: Experience with Playwright, Selenium, Browserbase for browser automation. Architecture: Deep knowledge of microservices, distributed systems, and containerization (Docker/Kubernetes). Cloud & Dev Ops: Experience with AWS/Azure/GCP, CI/CD pipelines, and Ia C (Terraform, Pulumi). Databases: Proficient in SQL (Postgres, My SQL) + No SQL (Mongo DB, Dynamo DB), and vector stores. Observability & Monitoring: Hands-on with Prometheus, Grafana, ELK, or equivalent. Security: Skilled in enterprise-grade security practices (OAuth2, SSO/SAML, RBAC, data encryption). What We’re Looking For Must-Haves 6–8 years of experience in backend or AI-based system development. Strong in Java, Python, or Node.js (at least 2). Experience with LLMs, embeddings, and AI workflows. Familiarity with multi-agent systems / orchestration frameworks (Lang Graph, Crew AI, Autogen). Production experience with CI/CD and cloud platforms (AWS/GCP/Azure). Nice-to-Haves Exposure to enterprise domains like finance, HR, supply chain, or compliance. Prior experience building Saa S or large-scale enterprise platforms. Strong understanding of observability, metering, and platform reliability. Why Join Us Build the future of enterprise automation with cutting-edge AI. Be part of a founding team culture with high ownership. Competitive compensation + ESOPs. Opportunity to define and scale Aimplify’s core agentic automation platform.