Agentic AI Engineer

Lever, Inc.; India; Remote; INR 2,500,000 - 4,500,000; Full time

Job summary

Lever, Inc. seeks a Senior Agentic AI Engineer to architect next-generation AI-driven products. This client-facing role blends solution architecture, hands-on engineering, and discussions with clients.

You will design end-to-end AI pipelines, collaborate with product and engineering, and mentor engineers to shape our AI platform strategy.

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.

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

Generative AI

Agentic AI

Python

NLP

Prompt engineering

LLMs

Distributed systems

Communication

MLOps

Education

Bachelor's or Master's in CS/Data Science/Engineering/Math/Statistics

Tools

LangChain

LangGraph

OpenAI

Llama

Llama2

Azure OpenAI

AWS

GCP

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

Job description

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

₹25,00,000 - ₹45,00,000 a year

We're looking for aSenior Agentic AI Engineerto 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 usingLangChainandLangGraphfor 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+ yearsin traditional ML, including2+ years hands‑on with Generative AI
• Strong experience with LLMs (GPT and similar), prompt engineering, and agentic systems
• Real-world experience withLangChain/LangGraphor similar agentic frameworks
• StrongPythonskills — API wrappers, third‑party integrations, internal tooling
• Solid foundation in Transformers, CNNs, RNNs — hands‑on withTensorFlow, PyTorch, Scikit‑learn
• Experience with NLP, embedding models, and vector databases
• Hands‑on work withOpenAI, Llama/Llama2, Azure OpenAI, and other open‑source models
• Experience designing distributed, cloud‑native architectures (microservices, REST APIs)
• Proficiency withAWS, Azure, or GCP, plusDocker/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