Walk-in | Generative AI with Python

Platlap Solutions; Hyderabad, Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Platlap Solutions is seeking an experienced Generative AI Engineer to design and productionise advanced AI systems in enterprise environments. You will build RAG pipelines, multi-agent workflows and embed AI solutions into client environments.

Responsibilities include delivering prototypes to production, optimizing latency, and ensuring scalability and reliability. A strong background in Python, ML tooling and cloud/MLOps is required, with a focus on customer-facing deployments.

Qualifications

• Degree in Computer Science, Engineering or related quantitative field.
• Experience in designing production-grade GenAI systems.
• Strong communication and collaboration skills.

Responsibilities

• Build bespoke Agentic AI solutions and multi-agent workflows.
• Integrate core AI models into client environments.
• Own technical delivery from prototype to stable release.
• Debug, perform root-cause analysis and optimize latency.
• Apply best practices for LLM evaluation, guardrails, and version control.
• Collaborate with product teams and client stakeholders on KPI-driven outcomes.
• Flag risks like model drift and data leakage early.
• Contribute to product roadmap, deployment architectures and reusable frameworks.

Skills

GenAI Ecosystem

LangChain/LangGraph

LLM Engineering

Data Science Stack

Cloud & MLOps

DevOps Tools

Backend Development (Python)

Education

Graduate degree in CS/Engineering or related

Tools

Docker

Kubernetes

Terraform

GitHub Actions

GitLab CI

CircleCI

GitOps

Job description

Job Title: Generative AI Engineer

We are seeking experienced Generative AI Engineers to design, build, and productionise advanced AI systems. The role involves developing RAG pipelines, multi-agent workflows, and embedding AI solutions into enterprise environments. Candidates will be responsible for technical delivery from prototype to production, ensuring scalability, reliability, and performance.

Key Responsibilities

• Build bespoke Agentic AI solutions and multi-agent workflows.
• Integrate core AI models into client environments.
• Own technical delivery across multiple deployments from prototype to stable release.
• Perform debugging, root-cause analysis, and latency/prompt optimizations.
• Implement best practices for LLM evaluation, guardrails, and version control.
• Collaborate with product teams and client stakeholders to deliver KPI-driven outcomes.
• Flag risks early (model drift, data leakage, system reliability).
• Contribute to product roadmap, deployment architectures, and reusable frameworks.

Mandatory Skills

• GenAI Ecosystem: RAG pipelines, multi-agent systems, LangChain, LangGraph, LlamaIndex.
• Protocols: Model Context Protocols (MCP), A2A Protocols, Agent Developer Kit (ADK).
• LLM Engineering: Prompt engineering, fine-tuning workflows, evaluation.
• Data Science Stack: Python, pandas, scikit-learn, PyTorch.
• Cloud & MLOps: AWS, Azure, GCP.
• DevOps Tools: Docker, Kubernetes, Terraform, CI/CD pipelines, GitHub Actions, GitLab, Jenkins, CircleCI, GitOps.
• Backend Development: Python (mandatory), JavaScript/TypeScript (for API integrations).

Preferred Experience

• Customer-facing technical deployment experience.
• Graduate degree in Computer Science, Engineering, Statistics, or related quantitative discipline.
• Strong communication skills to explain technical concepts to diverse audiences.
• Proven ability to deliver complex systems in rapid and ambiguous environments.

Interview Details

• Mode: Face-to-Face (F2F)
• Date: 19-Sep-2026
• Locations: Bangalore & Hyderabad