Senior AI Engineer

Phenom Cloud India; NTR; On-site; INR 2,400,000 - 5,400,000; Full time

Job summary

Phenom Cloud India is seeking a Senior AI Engineer to design, develop, and deploy enterprise-grade AI solutions. You will work with customers and stakeholders to build production-grade AI apps using Generative AI, LLMs, RAG architectures, vector databases, LangChain, LangGraph, and cloud-native tech.

The role requires 5+ years in AI/ML, strong Python, and hands-on OpenAI APIs. Experience with PostgreSQL and AWS is essential; UK shift availability is anticipated.

Qualifications

• 5+ years of experience in AI/ML, Generative AI, or Software Engineering.
• Strong Python programming skills.
• Experience building production-grade AI applications.
• Hands-on experience with OpenAI APIs, Claude, or similar LLM platforms.
• Experience with LangChain and LangGraph frameworks.
• Strong understanding of RAG, embeddings, and semantic search.
• Experience with Pinecone, Qdrant, or pgvector.
• Knowledge of PostgreSQL, SQLAlchemy, AWS, and Docker.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Willingness to work in the UK Shift.

Responsibilities

• Develop and maintain LLM-powered applications and AI solutions.
• Design and optimize RAG architectures using vector databases.
• Build AI workflows using LangChain and LangGraph.
• Implement prompt engineering and model optimization techniques.
• Improve AI accuracy through evaluation and grounding methods.
• Integrate AI solutions with enterprise applications and data sources.
• Deploy and manage AI applications on AWS using Docker.
• Work with PostgreSQL and vector databases.
• Monitor and optimize AI model performance.
• Collaborate with business and technical teams to deliver solutions.
• Troubleshoot and resolve application and deployment issues.
• Prepare technical documentation and implementation guides.
• Stay updated with emerging AI technologies and best practices.

Skills

Python

OpenAI APIs

LangChain

LangGraph

RAG

embeddings

semantic search

PostgreSQL

SQLAlchemy

AWS

Docker

Pinecone

Qdrant

pgvector

LLMs

Generative AI

AI/ML

Tools

PostgreSQL

SQLAlchemy

AWS

Docker

Pinecone

Qdrant

pgvector

Job description

We are looking for a results-driven Senior AI Engineer with strong experience in Generative AI, Large Language Models (LLMs), and cloud-native application development. The ideal candidate will work closely with customers, business stakeholders, product teams, and engineering teams to design, develop, and deploy enterprise-grade AI solutions.

Candidates with experience building AI applications from concept through deployment will be preferred. Expertise in RAG architectures, Agentic AI frameworks, prompt engineering, and modern AI technologies is highly desirable.

Duties & Responsibilities

• Develop and maintain LLM-powered applications and AI solutions.
• Design and optimize RAG architectures using vector databases.
• Build AI workflows using LangChain and LangGraph.
• Implement prompt engineering and model optimization techniques.
• Improve AI accuracy through evaluation and grounding methods.
• Integrate AI solutions with enterprise applications and data sources.
• Deploy and manage AI applications on AWS using Docker.
• Work with PostgreSQL and vector databases.
• Monitor and optimize AI model performance.
• Collaborate with business and technical teams to deliver solutions.
• Troubleshoot and resolve application and deployment issues.
• Prepare technical documentation and implementation guides.
• Stay updated with emerging AI technologies and best practices.

Qualifications

• 5+ years of experience in AI/ML, Generative AI, or Software Engineering.
• Strong programming experience in Python.
• Experience building production-grade AI applications.
• Hands-on experience with OpenAI APIs, Claude, or similar LLM platforms.
• Experience with LangChain and LangGraph frameworks.
• Strong understanding of RAG, embeddings, and semantic search.
• Experience with Pinecone, Qdrant, or pgvector.
• Knowledge of PostgreSQL, SQLAlchemy, AWS, and Docker.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Willingness to work in the UK Shift.