Hiring: Senior AI Engineer – Agentic Commerce
Locations: Bengaluru | Pune | Hyderabad | Chennai
Employment Type: Full-Time | Permanent
Experience Required: 4–8+ Years (Including 3+ Years in Agentic AI)
About the Opportunity
We are looking for an experienced Senior AI Engineer – Agentic Commerce to help build cutting-edge AI-driven commerce platforms powered by Large Language Models (LLMs) and autonomous AI agents. The ideal candidate will combine strong software engineering expertise with hands-on experience in designing and deploying enterprise-grade AI solutions.
Key Responsibilities
- Design, develop, and deploy intelligent AI agents for commerce and enterprise applications.
- Build scalable Agentic AI solutions using LLMs and advanced AI orchestration frameworks.
- Create multi-agent systems capable of autonomous reasoning, planning, and decision-making.
- Develop robust backend services, APIs, and integrations that support AI-powered products.
- Implement LLM-based solutions across customer experiences, business workflows, and commerce ecosystems.
- Improve system performance, scalability, reliability, and operational efficiency.
- Work closely with product managers, business teams, and engineers to deliver impactful AI solutions.
- Establish best practices for AI deployment, monitoring, evaluation, governance, and lifecycle management.
Required Skills & Qualifications
- Strong background in software engineering, system architecture, and scalable application development.
- Proven experience building and deploying LLM-powered applications in production environments.
- Hands-on expertise in developing AI agents and Agentic AI workflows.
- Advanced proficiency in Python.
- Experience with Retrieval-Augmented Generation (RAG), vector databases, and prompt engineering.
- Practical knowledge of modern AI frameworks, including:
- LangChain
- LangGraph
- AutoGen
- CrewAI
- Experience working with foundation models such as:
- OpenAI
- Anthropic
- Google AI Models
- Open-source LLM ecosystems
- Strong understanding of APIs, cloud-native architectures, microservices, and distributed systems.
- Experience with AI monitoring, evaluation frameworks, and observability tools.
Preferred Qualifications
- Experience in Commerce, Retail, Customer Experience, or Digital Transformation projects.
- Exposure to MCP (Model Context Protocol) and Context Engineering concepts.
- Familiarity with Kubernetes, Docker, CI/CD pipelines, and modern DevOps practices.
- Understanding of AI security, governance, compliance, and Responsible AI principles.
Experience Requirements
- 4–8+ years of overall software engineering experience.
- Minimum 3 years of hands-on experience working with Agentic AI and LLM-based systems.
- Demonstrated success in taking AI solutions from concept and prototype stages to large-scale production deployment.
Apply Now
Email your CV to: [email protected]
Contact: 7357457770
Work Location: In-Person
Work Location: In person
