Lead Engineer – Enterprise Agentic Automation

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 .