Senior AI Engineer

Phenom Cloud; NTR; On-site; INR 2,500,000 - 6,000,000; Full time

Benefits offered by this job

Work on cutting-edge Generative AI

Exposure to global clients

Continuous learning

Collaborative environment

Career growth within AI practice

Job summary

Phenom Cloud, Vijayawada, India, is seeking a Senior AI Engineer to design, build, and deploy enterprise‑grade AI solutions. You will work closely with customers, product, and engineering to deliver LLM-powered applications and reusable AI components.

The role emphasizes expertise in Generative AI, RAG architectures, LangChain, LangGraph, and cloud platforms. You will collaborate across teams and contribute to enterprise AI initiatives in a fast-paced setting.

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.
• 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

AI/ML

Python

OpenAI APIs

LangChain

LangGraph

RAG

embeddings

semantic search

PostgreSQL

SQLAlchemy

AWS

Docker

Pinecone

Qdrant

pgvector

UK Shift

communication

stakeholder management

Tools

LangChain

LangGraph

Pinecone

Qdrant

pgvector

PostgreSQL

SQLAlchemy

AWS

Docker

Job description

Become a part of Phenom Cloud and Grow With Us

Create adventures with technology in a creative, challenging and vibrant environment.

Senior AI Engineer

Vijayawada, India • Phenom Cloud

About Us

Phenom Cloud is not your average consultancy. HR is our home turf: we help clients solve their trickiest people-tech puzzles with smart, innovative solutions, backed by strong partnerships with leading HR technology vendors. Our clients operate in complex, highly regulated industries such as advanced manufacturing, life sciences, pharma, retail, and financial services, where \"trusted relationship\" is a real requirement, not a buzzword in a pitch deck.

What really sets us apart is our people. We know our stuff, we don't take ourselves too seriously, and yes, we are genuinely fun to be around (our clients said so, and we didn't even pay them). Through it all, we keep client excellence at the heart of everything we do. We are not a quick fling: we are a reliable, credible partner who remembers our clients' birthdays, shows up on time, and is still around years later.

Position Summary

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.

Skills & Requirements

• 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.

Nice to Haves

• Experience with Agentic AI frameworks.


• Knowledge of AI evaluation and model monitoring.


• Exposure to Process Mining and Workflow Modeling.


• Experience with enterprise SaaS products and API integrations.


• AI, Cloud, or Machine Learning certifications.

Benefits

• Work on cutting-edge Generative AI projects.


• Exposure to global clients and enterprise AI solutions.


• Continuous learning and professional growth opportunities.


• Collaborative and innovation-driven work environment.


• Career growth within a rapidly expanding AI practice.


• Opportunity to shape next-generation AI products and solutions.