Artificial Intelligence Engineer

Kamakhya Analytics Private Limited; Bengaluru; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Kamakhya Analytics Private Limited in Bengaluru seeks an AI Engineer to design, deploy, and scale AI/ML and Generative AI solutions for real-world research and business problems. You will collaborate with research, analytics, and engineering teams to build scalable AI applications using LLMs, RAG, and machine learning technologies.

The role requires strong Python skills and hands-on experience with PyTorch/TensorFlow, Hugging Face/LangChain, and API/cloud deployments.

Qualifications

• 2–5 years of experience in AI/ML or Software Engineering.
• Strong proficiency in Python.
• Hands-on experience with LLMs/Generative AI, RAG, or AI agents.
• Strong understanding of SQL and databases.
• Experience with embeddings and vector databases.
• NL2SQL / Text-to-SQL is preferred.
• Knowledge of ML frameworks such as PyTorch/TensorFlow and tools like Hugging Face/LangChain.
• Understanding of APIs, Git, cloud platforms, and production deployment.
• Strong problem-solving and analytical skills.

Responsibilities

• Develop and deploy AI/ML and Generative AI solutions.
• Build applications using LLMs, RAG, AI agents, prompt engineering, and tool/function calling.
• Develop NL2SQL / Text-to-SQL solutions for querying and analyzing data.
• Develop data pipelines and integrate AI models with databases, APIs, products, and internal systems.
• Build and optimize RAG pipelines, embeddings, and vector search.
• Evaluate and optimize AI systems for accuracy, reliability, latency, and cost.
• Implement LLM evaluation, monitoring, and AI guardrails for production applications.
• Work closely with engineering, analytics, and research teams to build AI-powered solutions.

Skills

Python

LLMs/Generative AI

SQL

Embeddings/Vector databases

NL2SQL

ML frameworks

APIs & Cloud

Problem solving

Tools

Hugging Face

LangChain

PyTorch

TensorFlow

Docker

CI/CD

Job description

Kamakhya Analytics is a technology-driven research and consulting organisation helping leaders, parties, and institutions decode India’s political and policy landscape. We bring together survey science, data analytics, and strategic insight to answer complex questions about public opinion, governance, and performance. From ground-level fieldwork to advanced modelling and interpretation, every project is built for clarity, accuracy, and impact. Our teams manage the complete research cycle — design, execution, data engineering, and delivery — under a single framework of discipline, transparency, and speed. Quality and integrity define our work. We apply rigorous controls in sampling and verification, maintain secure and reproducible data systems, and communicate results that withstand scrutiny. At Kamakhya, our mission is simple: turn evidence into strategy and insight into action.

Job Overview

As an AI Engineer at Kamakhya Analytics, you will work on building and deploying AI/ML and

Generative AI solutions for real-world research and business problems. You will collaborate with research, analytics, and engineering teams to develop scalable AI applications using LLMs, RAG, AI agents, and machine learning technologies.

Responsibilities:

• Develop and deploy AI/ML and Generative AI solutions.
• Build applications using LLMs, RAG, AI agents, prompt engineering, and tool/function calling.
• Develop NL2SQL / Text-to-SQL solutions for querying and analyzing data.
• Develop data pipelines and integrate AI models with databases, APIs, products, and internal systems.
• Build and optimize RAG pipelines, embeddings, and vector search.
• Evaluate and optimize AI systems for accuracy, reliability, latency, and cost.
• Implement LLM evaluation, monitoring, and AI guardrails for production applications.
• Work closely with engineering, analytics, and research teams to build AI-powered solutions.

Required Skills:

• 2–5 years of experience in AI/ML or Software Engineering.
• Strong proficiency in Python.
• Hands‑on experience with LLMs/Generative AI, RAG, or AI agents.
• Strong understanding of SQL and databases.
• Experience with embeddings and vector databases.
• Experience with NL2SQL / Text-to-SQL is preferred.
• Knowledge of ML frameworks such as PyTorch/TensorFlow and tools such as Hugging Face/LangChain.
• Understanding of APIs, Git, cloud platforms, and production deployment.
• Strong problem‑solving and analytical skills.

Good to Have:

• Experience building AI agents or multi‑agent systems.
• Experience with LLM evaluation, MLOps/LLMOps, and observability.
• Knowledge of model fine‑tuning, LoRA/QLoRA, or other parameter‑efficient techniques.
• Experience optimizing AI inference cost and latency.
• Exposure to multimodal models involving text, images, audio, or video.
• Experience with Docker and CI/CD.
• Understanding of AI security, prompt injection, data leakage, and guardrails.
• Contributions to open‑source projects, technical blogs, research, or AI‑related projects.