Senior Agentic AI Engineer

Bot Jobs; Jashpur; Remote; INR 2,500,000 - 4,500,000; Full time

Job summary

Bot Jobs in India is seeking a Senior Agentic AI Engineer to architect next-generation AI-driven products, from prototyping to production deployment. This is a customer-facing role blending solution architecture, hands-on engineering, and client conversations.

The ideal candidate has 6+ years in ML with 2+ years in GenAI, deep experience with LLMs, LangChain, LangGraph, Python, and cloud-native architectures. You will mentor engineers and help shape our AI platform strategy.

Qualifications

• 6+ years in traditional ML with 2+ years hands-on Generative AI.
• Strong experience with LLMs, prompt engineering, and agentic systems.
• Real-world experience with LangChain/LangGraph or similar frameworks.
• Strong Python skills and API development experience.
• Experience with Transformers, TensorFlow, PyTorch, and NLP.
• Familiarity with cloud-native architectures and MLOps practices.

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 agents using LangChain and LangGraph for NL-to-SQL and RAG pipelines.
• Select, customize, fine-tune, and optimize state-of-the-art LLMs.
• Own ML/GenAI pipelines: training, deployment, monitoring, lifecycle management.
• Build APIs, microservices, and integration frameworks for enterprise products.
• Champion responsible AI practices and mitigate reliability risks.
• Partner with customers, product, and engineering to translate business needs into robust AI architecture.

Skills

Python

Generative AI

LLMs

LangChain

LangGraph

APIs

Docker/Kubernetes

MLOps

Communication

Education

Bachelor's or Master's in CS/Engineering

Tools

LangChain

LangGraph

TensorFlow

PyTorch

AWS/Azure/GCP

Job description

Agentic AI Engineer

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 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.

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