Forward Deployed AI Engineer

This role is for one of the Weekday's clientsSalary range: Rs Rs ie INR 8-15 LPA)Min Experience: 2 yearsLocation: Gujarat, Mumbai, PuneJobType: full-timeWe'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.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.