Generative AI Leads - PAN India

Platlap Solutions; India; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Platlap Solutions seeks a senior GenAI engineer to design and deploy production-grade GenAI solutions, including RAG, multi-agent systems, and fine-tuning across cloud platforms.

Lead technical delivery from prototype to stable release, embed within client ecosystems, and demonstrate KPI improvements. Expertise with LangChain, LLMs, Kubernetes, Docker, CI/CD, and ML tooling is required; strong communication to technical and non-technical stakeholders.

Qualifications

• Experience building GenAI applications with production-grade deployments.
• Ability to communicate complex technical concepts to varied audiences.
• 8–15 years of relevant work experience and 5+ years in customer-facing engineering.

Responsibilities

• Help clients integrate offerings and demonstrate measurable KPI improvements.
• Embed within client landscapes and co-develop AI solutions with core product teams.
• Own technical delivery from prototype to stable release.

Skills

GenAI development

LangChain

LangGraph

LLMs & protocols

Cloud deployment

Pandas / ML tooling

Kubernetes

Docker

CI/CD

GitHub Actions

Python / JavaScript

Client communication

Education

Graduate degree in a quantitative discipline

Tools

Jira

Datadog

Job description

Job Requirements

• Candidate should have 8 to 15 years of working experience
• Experience building GenAI applications, including RAG, multi-agent systems, fine-tuning, etc., with tools such as LangChain, LangGraph etc.
• Clear understanding of Model Context Protocols, A2A Protocols, Agent Developer Kit and working experience with LLMs
• Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP
• Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.)
• Experience with DevOps tools: Kubernetes, Docker, Terraform, CI/CD Pipelines, GitHub/GitLab, GitOps, GitHub Actions, Jira, Jenkins, CircleCI, Datadog, Slack.
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• 5+ years of engineering and technical deployment experience in a customer-facing set up
• Should scoped and delivered complex systems in rapid and ambiguous environments
• Delivered production-grade code across frontend and backend using Python, JavaScript, or similar stacks
• Understand how AI model behaviour affects product experience
• Communicate clearly with engineers, product teams, and customer stakeholders
• Flag risks early and seek attention as per the severity

Key responsibilities:

• Help clients integrate and adopt the offerings; demonstrate the impact / outcomes the offerings committed such as KPI improvements and help client succeed
• Embed within the client landscape, understand their domain and co-develop solutions with the core product engineering teams
• Own technical delivery across multiple deployments from prototype to stable release
• Build bespoke AI and transformative agentic AI solutions
• Technical debugging and root cause analysis
• Rapid prototyping
• Implement and administer best practices