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 - 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.