Senior AI Engineer
Assent (company site, opens in a new tab)10+ yrsPuneOn-siteDirect career pageEst. 30–45 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Architect, implement, and optimize enterprise-scale AI-driven systems, including LLMs, RAG pipelines, and multi-agent architectures.
- Operationalize and manage agent lifecycle ensuring reliability, security, autonomy guardrails, and compliance with Responsible AI standards.
- Collaborate cross-functionally to integrate AI features into products, driving measurable business value and continuous innovation.
Minimum Requirements
- 10+ years software development experience, including 3+ years specifically in AI/ML systems with LLMs, RAG, and agent-based architectures.
- Expert proficiency in Python, C#, Angular/JavaScript; experience with AI tooling frameworks like MCP, A2A/ADK, LangChain, CrewAI, AutoGen.
- Strong knowledge of cloud platforms (AWS preferred, Azure or GCP also acceptable) and cloud-native services for LLM workloads.
- Familiarity with event-driven architectures, distributed systems, message brokers (Kafka, RabbitMQ, Solace PubSub+), and DevOps practices such as CI/CD, Docker, and infrastructure-as-code.
Ideal Candidate Profile
- A systems-oriented AI engineer with deep understanding of distributed, event-driven architectures and cloud infrastructure tailored for AI workloads.
- Experienced in deploying and maintaining enterprise-scale multi-agent systems with a strong focus on Responsible AI governance and operational security.
- Able to strategize AI platform evolution by collaborating effectively across product, research, and engineering teams to translate business needs into scalable AI solutions.