Lead Engineer

2 weeks ago

Bangalore, India Aimplify Full time
Bangalore (On-site) Experience: 6–8 years
Type: Full-time

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 .

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 .
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
Apply RAG, embeddings (FAISS, Chroma, Pinecone, Milvus, Weaviate), and prompt engineering for enterprise-grade AI use cases.

Mentor and guide engineers in AI/ML, distributed systems, and backend best practices .
Drive quality, delivery timelines, and innovation culture across the team.

Ensure compliance with enterprise security, data governance, and regulatory requirements .
Implement secure coding, RBAC, OAuth2, SSO/SAML, and encryption practices .

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.
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: Security: Skilled in enterprise-grade security practices (OAuth2, SSO/SAML, RBAC, data encryption).

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 .
~ Production experience with CI/CD and cloud platforms (AWS/GCP/Azure) .

Prior experience building SaaS or large-scale enterprise platforms .
Build the future of enterprise automation with cutting-edge AI.
Competitive compensation + ESOPs.
Opportunity to define and scale Aimplify’s core agentic automation platform .

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