Manager - Forward Deployed Engineer

Careernet; Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Careernet in Bengaluru is seeking an experienced Backend/GenAI Lead to architect and scale advanced AI solutions. You will design RESTful APIs, build GenAI/LLM pipelines with RAG, and mentor a team of developers while ensuring production-grade reliability and security.

The role requires 10–15 years of backend and AI/GenAI engineering, strong Python skills, LangChain expertise, and a production mindset for deploying AI workloads in cloud environments.

Qualifications

• 10–15 years of backend and AI/GenAI engineering experience, including leadership/management.
• Python development with strong backend engineering fundamentals.
• GenAI and LLM implementation experience, including RAG-based systems.
• LangChain experience for building natural language understanding and generation workflows.
• Production mindset for deploying and validating AI/LLM solutions with reliable backend integrations.

Responsibilities

• Design and develop RESTful APIs and web services using Python frameworks such as Flask, Django, or FastAPI.
• Build and optimize GenAI/LLM solutions, including Retrieval-Augmented Generation (RAG) pipelines for production use cases.
• Research, integrate, and evaluate state-of-the-art generative AI models and techniques to improve product functionality.
• Lead, mentor, and manage a team of developers; set goals, delegate tasks, and drive timely delivery.
• Ensure quality through code reviews, testing, and validation of AI models for accuracy, reliability, and scalability.

Skills

LLM

LangChain

Python

Gen AI

RAG

Cloud

AI/ML

Pytorch

Education

B.Tech/BE or higher

Tools

Flask

Django

FastAPI

Job description

Key Skills:

LLM, Lang chain, Python, Gen AI, Retrieval-Augmented Generation (RAG), Cloud, AI/ML, Pytorch

Roles and Responsibilities:

• Design and develop RESTful APIs and web services using Python frameworks such as Flask, Django, or FastAPI.
• Build and optimize GenAI/LLM solutions, including Retrieval-Augmented Generation (RAG) pipelines for production use cases.
• Research, integrate, and evaluate state-of-the‑art generative AI models and techniques to improve product functionality.
• Lead, mentor, and manage a team of developers; set goals, delegate tasks, and drive timely delivery.
• Ensure quality through code reviews, testing, and validation of AI models for accuracy, reliability, and scalability.

Skills Required:

• 10 - 15 years of relevant experience in backend and AI/GenAI engineering, including leadership/management.
• Python development with strong backend engineering fundamentals.
• GenAI and LLM implementation experience, including RAG-based systems.
• LangChain experience for building natural language understanding and generation workflows.
• Production mindset for deploying and validating AI/LLM solutions with reliable backend integrations.

Good to Have:

• PyTorch experience for building and optimizing generative models.
• Cloud experience, including deploying AI workloads in cloud environments.
• AI/ML experience beyond GenAI, including model optimization and data preparation.

Education:

B. Tech/BE or higher (any graduation/post-graduation acceptable).