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);
  
  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
  (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
  .