Lead AI Engineer
Finvasia (company site, opens in a new tab)RajasthanOn-siteDirect career pageEst. 30–50 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and deployment of AI/ML and Generative AI solutions including LLM-powered applications and AI agents.
- Define AI technical strategy, architectural standards, and engineering practices; lead integration of AI systems with cloud infrastructure and enterprise applications.
- Establish evaluation frameworks, AI security standards, and reliability mechanisms; mentor AI/ML engineers and drive AI initiatives from proof-of-concept to production with measurable business impact.
Minimum Requirements
- Strong proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow, LangChain, LlamaIndex).
- Experience with Generative AI, LLM platforms (OpenAI, Anthropic, Azure OpenAI, Hugging Face), RAG, embeddings, vector databases, agentic workflows, AI orchestration and human-in-the-loop systems.
- Hands-on with cloud AI services (AWS, Azure, GCP), microservices, REST APIs, distributed systems, Docker, Kubernetes, CI/CD, MLOps/LLMOps.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in leading AI/ML architecture strategy and operationalizing Generative AI solutions in production environments at scale.
- Comfortable working across multiple AI technologies including LLMs, vector search, prompt/context engineering, and AI security/governance.
- Skilled at collaborating with product and engineering teams to translate business requirements into scalable, measurable AI systems and mentoring technical teams.