Agentic AI Engineer

Weekday AI (YC W21); India; Remote; INR 2,500,000 - 6,000,000; Full time

Job summary

Weekday AI is seeking a Senior Agentic AI/Generative AI Engineer to architect and ship next-generation AI-driven products. This customer-facing role blends solution architecture, hands-on engineering, and client conversations.

You will prototype, build, and productionize end-to-end GenAI solutions, design LangChain/LangGraph workflows, and collaborate with customers, product, and engineering to turn business needs into robust AI architecture.

Qualifications

• 6+ years in traditional ML with 2+ years in Generative AI.
• Strong experience with LLMs and prompt engineering.
• Hands-on with LangChain/LangGraph or similar frameworks.
• Proficient Python for APIs, integrations, and tooling.
• Experience with Transformers, TensorFlow, PyTorch.
• Experience with NLP, embeddings, and vector databases.
• Hands-on with OpenAI, Llama/Llama2, Azure OpenAI.
• Experience designing distributed, cloud-native architectures.
• Proficiency with AWS/Azure/GCP, Docker/Kubernetes.
• MLOps/LLMOps experience and ability to ship production AI.

Responsibilities

• Architect and build scalable Generative AI and agentic AI applications end-to-end.
• Design LLM-powered workflows and prompt strategies for multi-agent systems.
• Build intelligent AI agents using LangChain and LangGraph for NL-to-SQL, autonomous tasks, and RAG pipelines.
• Select, customize, fine-tune, and optimize state-of-the-art LLMs.
• Design and own ML/GenAI pipelines—training, deployment, monitoring, lifecycle management.
• Build APIs, microservices, and integration frameworks to bring AI into enterprise products.
• Champion responsible AI practices—mitigating hallucinations, bias, and reliability risks.
• Partner with customers, product, and engineering to translate business needs into robust AI architecture.
• Mentor engineers and help shape long-term AI platform strategy.

Skills

Strong communication

Ownership mindset

Customer-facing experience

Education

Bachelor's or Master's in CS/DS/Engineering

Tools

LangChain

LangGraph

GPT/OpenAI models

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

REST APIs

AWS/Azure/GCP

Job description

This role is for one of Weekday's clients.

Min Experience: 5+ years

Location: Remote (India)

JobType: full-time

We're looking for a Senior Agentic AI/Generative AI Engineer to help architect our next-generation AI-driven products - from prototyping through production deployment. This is a customer-facing role where you'll move fluidly between solution architecture, hands-on engineering, and client conversations.

Key Responsibilities

• Architect and build scalable Generative AI and agentic AI applications, end to end
• Design LLM-powered workflows and prompt strategies for reflexive, self-learning, multi-agent systems
• Build intelligent AI agents using LangChain and LangGraph for use cases like NL-to-SQL, autonomous task agents, and RAG pipelines
• Select, customize, fine-tune, and optimize state-of-the-art LLMs
• Design and own full ML/GenAI pipelines - training, deployment, monitoring, lifecycle management
• Build APIs, microservices, and integration frameworks to bring AI into enterprise products
• Champion responsible AI practices - mitigating hallucinations, bias, and reliability risks
• Partner directly with customers, product, and engineering to turn business needs into robust AI architecture
• Mentor engineers and help shape our long-term AI platform strategy

Required Qualifications

• 6+ years in traditional ML, including 2+ years hands-on with Generative AI
• Strong experience with LLMs (GPT and similar), prompt engineering, and agentic systems
• Real-world experience with LangChain/LangGraph or similar agentic frameworks
• Strong Python skills - API wrappers, third-party integrations, internal tooling
• Solid foundation in Transformers, CNNs, RNNs - hands-on with TensorFlow, PyTorch, Scikit-learn
• Experience with NLP, embedding models, and vector databases
• Hands-on work with OpenAI, Llama/Llama2, Azure OpenAI, and other open-source models
• Experience designing distributed, cloud-native architectures (microservices, REST APIs)
• Proficiency with AWS, Azure, or GCP, plus Docker/Kubernetes
• MLOps/LLMOps experience - training, deployment, monitoring, lifecycle management
• Excellent communication skills - you can translate technical depth for non-technical stakeholders
• Bachelor's or Master's in CS, Data Science, Engineering, Math, Statistics, or related field
• Comfort with startup pace and strong ownership mentality

Preferred Qualifications

• LLM fine-tuning experience (LoRA, RLHF, PEFT)
• Performance optimization (GPU/TPU acceleration, quantization, pruning, distillation)
• AI observability/monitoring tool experience
• Familiarity with AI governance and compliance (GDPR, SOC 2)
• Prior consulting or solution-architecture experience shipping enterprise AI products
• Background in financial services, healthcare, or insurance

Must-have skills

• Agentic AI, Generative AI, Artificial Intelligence

Good-to-have skills

• Machine Learning, LangChain, LangGraph