Forward Deployed AI Engineer

This role is for one of the Weekday's clients

Salary range: Rs Rs 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.

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.

• 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.

• 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.

• 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).

• 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.

• 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.