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 .