We are seeking a highly skilled Senior AI Engineer / AI Architect with 5 to 8+ years of experience to lead the design, development, and deployment of cutting-edge AI solutions, autonomous agents, and enterprise-grade automation systems. The ideal candidate will have deep expertise in AI architecture, machine learning, large language models (LLMs), distributed systems, and scalable backend infrastructure. This is a full-time, in-person role offering a competitive monthly salary ranging from Rs250,000 to Rs300,000.
Key Responsibilities:
- Architect, develop, fine-tune, and deploy advanced AI/ML models and self-hosted LLM solutions.
- Design autonomous AI agents, multi-agent systems, and intelligent decision-making workflows.
- Build scalable automation engines, real-time data pipelines, and distributed processing systems.
- Develop custom retrieval-augmented generation (RAG) architectures, vector search solutions, and AI inference infrastructure.
- Lead backend architecture efforts, optimize system performance, manage MLOps, and oversee production deployments.
- Establish engineering standards, evaluate emerging technologies, and provide technical leadership across teams.
Required Qualifications:
- Strong programming skills in Python, Node.js, TypeScript, and SQL.
- Expertise in AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, and Transformers, with a solid foundation in deep learning.
- Experience with LLM engineering including RAG, fine-tuning, vLLM, vector databases, and managing self-hosted models.
- Proficiency in agentic AI concepts such as autonomous agents, multi-agent orchestration, and tool execution.
- Familiarity with automation and data technologies including Kafka, Redis, Celery, Airflow, ETL/ELT processes, and distributed workflows.
- Hands-on experience with infrastructure tools like Docker, Kubernetes, Linux, CI/CD pipelines, GPU optimization, and MLOps best practices.
Preferred Qualifications and Benefits:
We are looking for a strong technical problem-solver who can independently architect and build production-grade AI systems from the ground up, rather than relying on third-party AI APIs or no-code automation platforms. Candidates must demonstrate proven experience in system architecture, AI model implementation, custom automation development, and independent programming.
The selection process includes advanced technical interviews, practical assessments, AI architecture evaluations, and system design discussions to ensure the candidate’s skills align with the role’s demands.
This role offers the opportunity to work on innovative AI projects in a collaborative, in-person environment, with a focus on pushing the boundaries of AI technology and automation at scale. If you have a passion for building robust AI systems and leading technical teams, we encourage you to apply with your updated CV, portfolio, and examples of relevant AI projects.