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 LangGraph / orchestration pipelines for multi-agent collaboration and workflows.
- Develop robust APIs (REST / GraphQL) for agent deployment, orchestration, and SaaS 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 (OpenAI, Claude, Mistral, LLaMA, 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 (FastAPI, LangChain / LangGraph); Node.js / TypeScript preferred.LLM & AI Ecosystem : Hands-on with OpenAI, Anthropic, LangGraph, LangChain, 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 & DevOps : Experience with AWS / Azure / GCP, CI / CD pipelines, and IaC (Terraform, Pulumi).Databases : Proficient in SQL (Postgres, MySQL) + NoSQL (MongoDB, DynamoDB), 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 (LangGraph, CrewAI, 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 SaaS 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.