Artificial Intelligence Engineer

Job Title :

Senior AI Engineer (REMOTE)

Location :

[Hybrid / Remote / Onsite — Add as needed]

Experience : 6+ Years

Employment Type : Full-time

About the Role

We are looking for a

Senior AI Engineer

who can lead the development and scaling of cutting-edge AI solutions involving

LLMs, RAG systems, AI agents, and autonomous workflows . You will play a key role in designing architecture, building scalable pipelines, and enabling production-grade AI systems that deliver real impact.

This is a highly technical role that requires deep expertise in

Python, cloud-native AI systems, vector databases, orchestration frameworks, and production ML .

Responsibilities

Architect and build scalable

LLM-powered applications , including chatbots, RAG systems, and AI decision-support tools.

Develop

autonomous agents

and multi-agent systems for internal and client needs.

Implement AIOps frameworks to monitor and improve production AI systems.

Build and optimize

data pipelines, ML workflows, APIs , and backend services using Python & SQL.

Deploy scalable systems using

AWS, Docker / Kubernetes, CI / CD, and IaC tools .

Collaborate with cross-functional teams to define requirements and deliver AI capabilities at scale.

Mentor engineers and contribute to organizational AI strategy.

Stay updated on emerging LLM frameworks, agentic workflows, and ML infrastructure advancements.

Required Qualifications

Bachelor’s / Master’s in Computer Science, Engineering, or a related field

6+ years of experience in

AI / ML Engineering with real-world production systems

Strong experience developing and scaling

LLM apps, RAG, agents, and AI-driven apps

Excellent programming skills in

Python & SQL

Experience with

AWS, Kubernetes, Docker, CI / CD, IaC

Experience with

vector databases

(FAISS, Pinecone, Chroma, etc.)

Strong understanding of software architecture and system design

Excellent communication and team collaboration skills

Nice-to-Have Skills

Experience with

real-time or event-driven architectures

Exposure to

LangChain, LangGraph, CrewAI, or agent frameworks

Experience with

MCP or a2a protocols

Experience leading or mentoring junior engineers