Agentic AI Engineer

Aimlroles; United States; Remote; USD 62,000 - 93,000; Full time

Job summary

Aimlroles is seeking 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.

You will design LLM-powered workflows, build intelligent agents with LangChain and LangGraph, fine-tune models, and own end-to-end ML/GenAI pipelines, while mentoring engineers and helping

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 — translate 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

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 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

Skills

Agentic AI

Generative AI

Python

LLMs

LangChain

LangGraph

AWS/Azure/GCP

Docker/Kubernetes

MLOps/LLMOps

Communication

Education

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

Tools

TensorFlow

PyTorch

Scikit-learn

OpenAI APIs

Docker

Kubernetes

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.

Requirements

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