Forward Deployed AI Engineer

Katonic AI; Bengaluru; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

Katonic AI is seeking a hands-on engineer to deploy and support AI systems directly in customer and production environments, taking ownership of troubleshooting and optimization.

You will translate business objectives into scalable ML solutions, work with Python, LLMs, LangChain, embeddings, and integrate REST APIs and databases into AI-powered applications while collaborating closely with customers and internal teams.

Qualifications

• Strong Python programming background with proven experience shipping applications to production.
• Solid grasp of AI and machine learning concepts, with practical exposure to generative AI and language models.
• Problem-solving mindset and ability to debug complex technical challenges.
• Clear communication skills and comfort engaging directly with customers and stakeholders.

Responsibilities

• Deploy and support AI systems directly in customer and production environments, taking ownership of troubleshooting and optimization.
• Translate business objectives from stakeholders into machine learning solutions that scale across infrastructure.
• Work hands-on with large language models, prompt engineering, retrieval-augmented generation, embeddings, and vector database technologies.
• Integrate REST APIs, databases, and external services into AI-powered applications.
• Collaborate closely with customers and internal teams to understand needs and deliver results.

Skills

Python

AI/ML concepts

Problem-solving

Communication

Tools

Docker

Git

CI/CD

LangChain

LlamaIndex

Job description

About the role

• Deploy and support artificial intelligence systems directly in customer and production environments, taking ownership of troubleshooting and optimization
• Translate business objectives from stakeholders into machine learning solutions that scale across infrastructure
• Work hands-on with large language models, prompt engineering, retrieval-augmented generation, embeddings, and vector database technologies
• Integrate REST APIs, databases, and external services into AI-powered applications
• Collaborate closely with customers and internal teams to understand needs and deliver results

What you'll work on

• Building production-quality applications using Python that leverage AI and machine learning capabilities
• Implementing generative AI and AI automation features using LLM APIs and related tools
• Working with frameworks like LangChain, LlamaIndex, or equivalent systems to accelerate development
• Diagnosing issues and improving performance of AI solutions in live customer settings
• Contributing to a fast-moving environment where engineering and customer success overlap

What we're looking for

• Strong Python programming background with proven experience shipping applications to production
• Solid grasp of AI and machine learning concepts, with practical exposure to generative AI and language models
• Problem-solving mindset and ability to debug complex technical challenges
• Clear communication skills and comfort engaging directly with customers and stakeholders
• Background in a startup, consulting firm, or customer-focused engineering role is valuable

Good to know

• Familiarity with cloud platforms, Docker containerization, Git version control, and CI/CD workflows strengthens your application
• This role bridges engineering and customer success, requiring both technical depth and interpersonal skills