[DT] : AI Engineering / Lead
Vinove (company site, opens in a new tab)3+ yrsNoidaOn-siteDirect career pageEst. 8–22 LPA
Posted on 21 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, deploy, and scale custom AI solutions (LLM pipelines, RAG architectures, multi-agent workflows, fine-tuned models) tailored for enterprise client environments.
- Lead end-to-end client AI solution delivery, including architecting production-grade AI systems and integrating with existing enterprise infrastructure.
- Oversee team delivery, mentor engineers, establish MLOps best practices, and provide technical advisory to client executives on AI strategy and compliance (Senior/Team Lead).
Minimum Requirements
- 3–8+ years experience in software and systems engineering with proven enterprise AI/ML production delivery.
- Proficient in Python and modern software engineering practices; experience with AI frameworks (PyTorch/TensorFlow, Hugging Face, OpenAI APIs).
- Hands-on experience with major cloud platforms (AWS/Azure/GCP), containerization (Docker), CI/CD; Kubernetes/Terraform experience preferred for senior roles.
- Work Experience Required: 3–8+ years in relevant fields.
Ideal Candidate Profile
- Experienced in directly engaging with clients to translate complex AI requirements into deployable enterprise solutions.
- Skilled at designing distributed, compliant AI architectures with operational focus on system performance, security, and cost efficiency.
- Capable of leading cross-functional teams and enabling client engineering orgs through mentorship, technical leadership, and knowledge transfer.