Lead Engineer AIML

Appsierra Group; Hyderabad; On-site; INR 2,500,000 - 3,000,000; Full time

Job summary

Appsierra Group in Hyderabad is seeking a Lead Engineer AIML to drive design, development, and delivery of GenAI solutions with emphasis on LLMs and agentic architectures. You will lead hands-on GenAI implementations and collaborate with stakeholders to scale AI initiatives.

The role requires 8–12 years of experience, 5 days a week on-site, and working with cloud platforms (Azure/AWS/GCP) and CI/CD pipelines to deploy reliable AI systems.

Qualifications

• Hands-on Python, LLMs, and ML experience.
• GenAI projects experience (e.g., RAG chatbot, automation).
• Familiarity with cloud AI platforms and embeddings/vector DBs.

Responsibilities

• Delivery of AI/ML and Generative AI solutions, GenAI workflows including RAG systems, fine tune LLMs, prompt driven agents, and automation pipelines.
• Build PoC/ blueprint implementations to validate concepts
• Guide AI/ML best practices, evaluate GenAI technologies, frameworks, and cloud AI services
• Collaborate with business stakeholders to shape AI initiatives
• Ensure responsible AI practices, enterprise security and compliance considerations

Skills

Python

LLMs

Generative AI

Core ML

GenAI projects

TensorFlow

AI architecture

Embeddings

Vector databases

CI/CD

Azure

AWS

GCP

Agentic frameworks

Education

Bachelor's or Master's in CS/IT

Tools

CI/CD pipelines

Azure ML

AWS SageMaker

GCP AI services

Job description

Job Title / Role Lead Engineer AIML

Type of Employment (Full time/Contract/Contract to hire) Full time [internal Position]

Years of Experience Required (Min-Max) 8 - 12 Years No. of Positions 1

CTC in INR 25-30 LPA [ 5% including varibale]

Bounty Highest Qualification Required Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. Work Location Hyderabad Mode of Work (Remote/On-site/Hybrid) 5 days WFO

Notice Period/ Start Date Flexibility 0-15 days On-site feasibility (work abroad) No

Interview Rounds

L1- Technical L2 - Technical F2F

L3 - Techno Managerial F2F

L4 - Techno Managerial HR

Interview Panel Time slots 12 pm- 3pm

Office Time 10 AM to 7 PM or 2PM – 11 PM Weekend Drives No

Salaries paid on Last working day of the month

Must/Good to Have Details

Must have

Role Description

The role will drive the design, development, and delivery of AI/ML solutions with an emphasis on Generative AI, LLMs, and agentic architectures.

Requires hands on expertise in implementation of GenAI projects.

• Hands on experience in Python, LLMs, Generative AI, and core machine learning
• Practical implementation experience in GenAI projects (e.g., RAG chatbot, work automation, domain specific models)
• Experienced in ML libraries ( TensorFlow or similar) is a definite plus
• Solid understanding of AI architecture, embeddings, vector databases
• Experience with model deployment, monitoring, and CI/CD
• Familiarity with cloud AI platforms like Azure, AWS, GCP and cloud-based data and ML services
• Experienced with agentic frameworks

Good to have

Key role and responsibilities

scikit-learn,

• Delivery of AI/ML and Generative AI solutions, implement GenAI workflows including RAG systems, fine tune LLMs, prompt driven agents, and automation pipelines.
• Build PoC / blueprint implementations to validate concepts
• Guide AI/ML best practices, evaluate GenAI technologies, frameworks, and cloud AI services
• Collaborate with business stakeholders to shape AI initiatives
• Ensure responsible AI practices, enterprise security and compliance considerations