Senior GenAI Engineer

Weekday AI; India; Remote; INR 3,500,000 - 7,000,000; Full time

Job summary

Weekday AI is seeking a Senior Agentic AI/Generative AI Engineer for a remote India role. You will architect AI-driven products, prototype to production, and engage directly with clients to translate business needs into robust AI solutions.

You’ll design LLM-powered workflows, build multi-agent systems, fine-tune models, and own end-to-end ML/GenAI pipelines in a fast-paced startup environment with strong ownership expectations.

Qualifications

• 6+ years experience in ML with 2+ years hands-on Generative AI
• Strong experience with LLMs, prompts, and agentic systems
• Real-world experience with LangChain/LangGraph or similar
• Strong Python skills for APIs and tooling
• Foundations in Transformers, CNNs, RNNs; hands-on with TensorFlow, PyTorch, Scikit-learn
• Experience with NLP, embeddings, vector stores
• Hands-on with OpenAI, Llama/Llama2, Azure OpenAI
• Distributed cloud-native architectures (microservices, REST APIs)
• Proficiency with AWS, Azure, or GCP; Docker/Kubernetes
• MLOps/LLMOps experience; strong communication; startup mindset
• Bachelor's or Master's in CS/DS/Engineering/Math/Statistics
• Comfort with startup pace and ownership

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, RAG
• Select, customize, fine-tune, and optimize state-of-the-art LLMs
• Design and own ML/GenAI pipelines — training, deployment, monitoring
• Build APIs, microservices, integration frameworks to bring AI into products
• Champion responsible AI — mitigate hallucinations, bias, reliability risks
• Partner with customers, product, and engineering to translate needs into architecture
• Mentor engineers and shape long-term AI platform strategy

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