Lead Engineer – AI Powered Platforms

Location: Bangalore (On-site)

Experience: 48 years

Type: Full-time

About Aimplify

At Aimplify, were 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 .

Were a passionate team of builders, and were looking for a Lead Engineer to help us scale our core platforms and define the future of enterprise agentic automation .

Were hiring a Lead Developer to own critical modules end-to-end , make architecture decisions, and mentor engineers in building AI-powered, agentic applications . Youll work hands-on across backend, integrations, reliability, and deliveryshipping fast using AI-assisted development and testing practices .

What Youll 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 Were Looking For

Must-Haves

• 48 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).
• Hands-on exposure to LLMs in real applications (prompting + tool calling + structured outputs).
• Experience integrating AI/ML models into production with reliability concerns (latency, cost, safety).
• 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 .
• Experience with agent frameworks : LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, n8n/agentic workflows.
• Building RAG pipelines (vector DBs like Pinecone/Weaviate/Milvus, hybrid retrieval, chunking strategies).
• LLM evaluation & observability : prompt/versioning, test harnesses, golden datasets, hallucination checks.
• Experience with Playwright / browser automation , workflows, and tool-based agents.
• Strong testing mindset + automation: contract tests, load tests, e2e frameworks, CI quality gates.
• DevEx: creating internal tooling, codegen templates, reusable SDKs, and paved roads for faster delivery.
• Familiarity with event-driven systems (Kafka/SQS/PubSub), caching (Redis), and performance optimization.

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 Aimplifys core agentic automation platform .