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Salary
≈ $24k – $52k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 2+ years exp

First seen by Alion on Sep 29, 2026.

Overview
Company
Impact
Profile match
LeadSquared provides sales execution and marketing automation software. Its platform manages high-volume lead capture, distribution and field sales activity. Education, healthcare and financial services companies are core customers.

About the job:

We're building the next generation of AI-powered business software, and we're looking for people who want to shape that future with us.

With Lumen, we're reimagining how users interact with CRM - moving beyond screens, menus and dashboards to an intelligent interface where users can simply ask AI to take actions, retrieve knowledge, generate insights and get work done.

With Agent Studio, we're enabling businesses to build, test and deploy their own AI agents for real-world workflows.

And with Invorto, we're bringing AI to voice, allowing businesses to create intelligent voice agents tailored to their customer and operational use cases.

What You'll Do:

- Design, build and scale backend services in Python that power LLM-driven and agentic features within Lumen and Agent Studio.

- Build and productionize agentic AI systems - including planning, tool use, orchestration, memory and multi-step task execution.

- Integrate LLMs into core product workflows, focusing on reliability, latency, cost and correctness at production scale.

- Build robust APIs and services that connect AI agents with CRM data, business logic and third-party systems.

- Own evaluation, testing and monitoring for AI features to ensure they behave reliably in real-world conditions.

- Collaborate closely with product, design and other engineers to take features from zero to one and iterate rapidly.

- Work directly with customers to understand real workflows, debug issues and translate feedback into product decisions.

What We're Looking For :

- 2-4 years of professional backend engineering experience, with strong hands-on Python skills.

- Design and build LLM-powered agentic systems using frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI.

- Solid understanding of API design, backend architecture, databases and distributed systems fundamentals.

- Familiarity with LLM orchestration concepts - prompting, tool/function calling, RAG, agent frameworks, evaluation and guardrails.

- Comfort working in a fast-paced, ambiguous, zero-to-one environment.

- Strong communication skills - this is a customer-facing role.

Good to Have :

- Experience with enterprise security, reliability or observability practices for AI systems.

- Prior experience working on CRM, SaaS or other enterprise business software.

- Exposure to voice AI or real-time systems.

Skills

Python, Artificial Intelligence, Machine Learning, LangChain, LangGraph, LLama, SQL

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