Agentic AI Engineer

Weekday (YC W21); India; A distancia; INR 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

Weekday (YC W21) is seeking a Senior Agentic AI Engineer to architect next-generation AI-driven products. This customer-facing role blends solution architecture, hands-on engineering, and client conversations from prototyping to production deployment.

The candidate will design multi-agent workflows, work with LangChain/LangGraph, and own ML/GenAI pipelines, while mentoring engineers and collaborating with customers to deliver robust AI solutions.

Formación

• 6+ years in traditional ML including 2+ years hands-on with Generative AI
• Strong experience with LLMs (GPT and similar) and prompt engineering
• Experience with LangChain/LangGraph or similar agentic frameworks
• Strong Python skills — API wrappers and integrations
• Foundation in Transformers, CNNs, RNNs; hands-on with TF, PyTorch, Scikit-learn
• Experience with NLP, embeddings, vector databases
• Hands-on with OpenAI, Llama/Llama2, Azure OpenAI and other 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 to translate tech depth for non-technical stakeholders
• Bachelor's or Master’s in CS/Data Science/Engineering/Math/Stats or related
• Comfort with startup pace and ownership mindset

Responsabilidades

• 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 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 with customers, product, and engineering to turn business needs into robust AI architecture
• Mentor engineers and help shape our long-term AI platform strategy

Conocimientos

Generative AI

LLMs

Python

LangChain/LangGraph

ML frameworks

NLP

Cloud + MLOps

Educación

Bachelor's or Master’s in CS/Engineering/Data Science

Herramientas

LangChain

LangGraph

OpenAI / Azure OpenAI

TensorFlow / PyTorch

Docker

Kubernetes

Descripción del empleo

This role is for one of our clients

Industry: Software Development

Seniority level: Mid-Senior level

Min Experience: 5+ years

Location: Remote (India)

JobType: full-time

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We’re looking for a Senior Agentic 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.

Requirements

• 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