Forward Deployed AI Engineer

This role is for one of the Weekday's clients

Salary range : Rs 800000 - Rs 1500000 (ie INR 8-15 LPA)

Min Experience : 2 years

Location : Gujarat, Mumbai, Pune

JobType : full-time

We’re building the future of agentic commerce — a low / no-code framework that helps enterprises create multimodal AI agents with observability, governance, and real-world customer context built in. As a Forward Deployed AI Engineer , you’ll sit at the intersection of customer challenges and our AI platform, rapidly designing, building, and deploying real-world solutions that drive measurable business value. You’ll also play a key role in feeding insights from the field back into the product roadmap.

Requirements

Mission (Why this role exists)

Own and accelerate the time-to-first-value for strategic enterprise customers. You’ll transform complex customer needs into deployable, production-ready AI agent systems that demonstrate ROI quickly.

What You’ll Do

• Design and build customer-specific AI agents (retrieval, tools, workflows) using Python / TypeScript and modern AI frameworks (LangGraph / LangChain patterns, function calling, multimodal I / O).
• Integrate with enterprise systems — PIM / DAM, CMS, CRM, CDP, ad platforms, analytics tools, product catalogs, and authentication systems.
• Develop RAG pipelines using vector databases (Pinecone, Weaviate, FAISS, pgvector), hybrid search, and structured metadata filtering.
• Productionize AI systems — containerize and deploy (Docker / K8s / serverless), set SLOs, configure monitoring, logging, and rollbacks, and pass enterprise security reviews (PII handling, access controls).
• Enhance reliability — minimize hallucinations, integrate HITL loops, apply confidence scoring, manage prompt versions, and run offline evaluations and A / B tests.
• Collaborate with customers — conduct discovery sessions, define success metrics (e.g., conversion rate, AOV, lead-to-appointment), iterate rapidly, and document clearly.
• Contribute to core platform — generalize recurring patterns into reusable components, schemas, and frameworks for future enterprise deployments.

What We’re Looking For

Nice-to-Haves

What Success Looks Like

Why You’ll Love Working Here