Website:
linkence.ai
Job details:
Company Description
Linkence.ai is an enterprise intelligence and execution platform designed to integrate seamlessly with internal company tools like Google Workspace, Slack, Jira, and databases. By offering accurate, permission-aware AI-powered answers and workflow automation, Linkence.ai addresses challenges of fragmented knowledge across business systems. The platform prioritizes security, governance, and auditability, ensuring safe and scalable enterprise deployment. Additionally, Linkence.ai empowers teams by enabling AI agents and voice assistants to take secure actions, simplifying workflows and enhancing operational efficiency.
Role Description
We are hiring a highly capable AI Engineer to help us design, build, and scale core AI capabilities across our platform. This is a hands-on role for someone who enjoys working across real production systems — from LLM integrations and RAG pipelines to backend APIs, orchestration, and performance optimization.
You will work directly on meaningful product problems with high ownership, fast execution, and strong product impact.
What you’ll do
- Build and improve LLM-powered product features
- Develop and optimize RAG pipelines, retrieval systems, and agent workflows
- Work on backend services and APIs in Python and Node.js
- Integrate AI model providers and external enterprise systems
- Improve performance, reliability, observability, and production readiness
- Collaborate on architecture decisions for scalable AI systems
- Contribute across data flow, prompting, evaluation, and deployment workflows
- Help translate product requirements into robust engineering implementations
What we’re looking for
- Strong software engineering fundamentals
- Good hands-on experience with Python
- Experience building backend APIs and production services
- Familiarity with LLMs, RAG, embeddings, prompting, and AI application patterns
- Experience with databases, caching, and scalable system design
- Comfortable working in a fast-moving startup environment
- Strong problem-solving ability and ownership mindset
- Ability to independently ship features end-to-end
Good to have
- Experience with FastAPI, Node.js, Redis, PostgreSQL, MongoDB, Docker
- Exposure to vector databases and retrieval systems
- Experience integrating model providers such as OpenAI, Azure OpenAI, Bedrock, or similar
- Experience with evaluation, observability, and AI application monitoring
- Familiarity with frontend systems such as React/TypeScript
Why join us
- Work on real, challenging AI engineering problems
- High ownership and direct product impact
- Remote flexibility
- Fast execution environment with room to grow quickly
- Opportunity to shape a serious AI product from an early stage
Compensation
- ₹12–14 LPA
- Remote role
- Performance-driven growth opportunity
Application process
Please apply with:
- Resume
- LinkedIn profile
- GitHub / portfolio / relevant project links
- Short note on AI systems or backend projects you’ve build
Click on Apply to know more.