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)

Forward Deployed AI Engineer

Requirements

Mission (Why this role exists)

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

• 2+ years of AI engineering experience, preferably with shipped production systems.
• Strong programming skills in Python and/or TypeScript, with experience in APIs, data handling, and LLM integration (OpenAI, Anthropic, function calling, structured outputs).
• Hands-on experience with RAG architectures — embeddings, chunking, vector stores, and hybrid search.
• Knowledge of AI safety, evaluation, and guardrails — prompt/test harnesses, offline eval sets, confidence metrics, and jailbreak resistance.
• Proficiency with cloud infrastructure (AWS/Azure/GCP), containerization (Docker/K8s), and CI/CD pipelines.
• Excellent communication and customer-facing skills, capable of translating ambiguous goals into tangible software solutions.
• Willingness to engage directly with clients and travel occasionally (10-20%) for deployments.
  

Nice-to-Haves

• Experience in commerce or data systems (PIM, pricing, promotions, PDPs, UGC, ad APIs).
• Familiarity with LangChain, LangGraph, LlamaIndex, or DSPy.
• Exposure to LoRA/adapters, ASR/TTS/vision models, and security/compliance workflows (SOC2, ISO27001, PII handling).
  

What Success Looks Like

• 30 days: Deliver a scoped proof-of-concept agent with telemetry and guardrails; earn stakeholder trust.
• 90 days: Convert pilots into paid deployments and templatize solutions into reusable components.
• 6 months: Build and own repeatable playbooks for future clients and influence the core product roadmap with validated patterns.
  

Why You'll Love Working Here

• Collaborate closely with founders and senior advisors.
• Build production-grade AI systems for top-tier global enterprises.
• Shape the future of enterprise AI with observability, governance, and real customer context at its core