Description

You will design and deliver AI-driven technical solutions for enterprise clients, bridging the gap between sales objectives and engineering implementation.

This role is on-site.

Responsibilities

• Lead end-to-end client engagements, from pre-sales solutioning and RFI/RFP responses to architecture design workshops and implementation.
• Build and demonstrate applications using LLMs, RAG systems, vector databases, and multi-modal AI technologies.
• Partner with sales teams to qualify leads, identify pain points, and articulate technical value propositions.
• Collaborate with product teams to shape the roadmap and drive post-sales support and upsell opportunities.
• Implement agentic AI workflows and optimize prompts for production-grade performance.

Required Skills

• 5+ years of experience in solution architecture, pre-sales engineering, or technical account management.
• Strong proficiency in Python, FastAPI, and LangChain for building AI applications.
• Hands-on experience with RAG architectures, vector databases, and LLM integration.
• Experience working with multi-modal AI and prompt engineering techniques.
• Knowledge of cloud computing infrastructure and server-side API integration.
• Ability to translate business requirements into technical solutions for industries like Social, Media, FinTech, or DNBs.

Preferred Skills

• Familiarity with orchestration frameworks such as LangGraph, Google ADK, or CrewAI.
• Experience with model inference acceleration frameworks like vLLM or sglang.
• Background in front-end development (React) or native mobile app development.

Referral Bonus: ₹50,000

Key Skills

Education

Any Graduate