Senior Artificial Intelligence Engineer

Aanseacore; Chennai District, Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Aanseacore is seeking a Sr. AI Engineer to design, develop, and integrate AI-powered solutions using LLMs, RAG, and cloud AI services. You will build PoCs, automate workflows, and integrate AI with enterprise applications to solve business challenges.

The role requires hands-on Python, REST APIs, and experience with AI/ML integration, LLMs, and prompt engineering, plus familiarity with cloud platforms such as Azure OpenAI, AWS AI Services, and OpenAI APIs.

Qualifications

• Proficient in Python and AI/ML integration.
• Experience with REST APIs and enterprise integrations.
• Strong knowledge of LLMs and Generative AI.
• Experience with RAG frameworks and cloud AI platforms.
• Familiarity with AI orchestration tools like LangChain/LlamaIndex.

Responsibilities

• Design and implement AI-powered applications and intelligent automation.
• Build PoCs using modern AI/ML tech.
• Integrate LLMs with enterprise apps via REST APIs.
• Develop and optimize prompt engineering strategies.
• Design and implement RAG solutions for knowledge retrieval.
• Work with cloud AI platforms such as Azure OpenAI, AWS AI, or OpenAI APIs.
• Develop scalable Python backends and AI integrations.
• Collaborate with software engineers, architects, and stakeholders.
• Troubleshoot and maintain AI solutions for performance and security.
• Stay updated with emerging AI technologies and best practices.

Skills

Python programming

REST APIs

AI/ML integration

LLMs & Generative AI

RAG frameworks

CI/CD for AI

Agile/Scrum

Education

Bachelor's degree in Computer Science, IT, AI, Data Science, or related field

Tools

Azure OpenAI Services

OpenAI APIs

AWS AI Services

LangChain

LlamaIndex

Vector databases

Job description

Job Description

We are seeking a highly skilled Sr. AI Engineer to join our team. The ideal candidate will have hands-on experience designing, developing, and integrating AI-driven solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-based AI services. This role involves building Proofs of Concept (PoCs), developing intelligent automation workflows, and integrating AI capabilities with enterprise applications to solve real-world business challenges.

Skill / Qualifications

• Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Software Engineering, or a related technical field.
• Strong proficiency in Python programming.
• Experience working with REST APIs and enterprise application integrations.
• Hands-on experience with AI/ML integration projects.
• Strong knowledge of Large Language Models (LLMs) and Generative AI.
• Experience with Prompt Engineering techniques.
• Hands-on experience implementing Retrieval-Augmented Generation (RAG) frameworks.
• Experience with cloud AI platforms, including:- Azure OpenAI Services, OpenAI APIs, AWS AI Services.
• Experience with vector databases and semantic search implementations.
• Familiarity with LangChain, LlamaIndex, or similar AI orchestration frameworks.
• Experience deploying AI solutions in cloud environments.
• Knowledge of CI/CD pipelines and DevOps practices for AI applications.
• Experience working in Agile/Scrum environments.
• Strong analytical, problem-solving, and debugging skills.
• Excellent communication and collaboration abilities.

Job Responsibilities

• Design, develop, and implement AI-powered applications and intelligent automation solutions.
• Build and validate Proofs of Concept (PoCs) using modern AI and Machine Learning technologies.
• Integrate Large Language Models (LLMs) with enterprise applications through REST APIs and other integration methods.
• Develop and optimize prompt engineering strategies to improve AI model performance and response quality.
• Design and implement Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge retrieval.
• Work with cloud AI platforms such as Azure OpenAI, AWS AI Services, or OpenAI APIs.
• Develop scalable Python-based backend services and AI integrations.
• Collaborate with cross-functional teams including software engineers, architects, product owners, and business stakeholders.
• Troubleshoot, optimize, and maintain AI solutions while ensuring performance, scalability, and security.
• Stay current with emerging AI technologies, frameworks, and industry best practices.