AI Lead Engineer

Maveric; Chennai, Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Maveric is seeking passionate AI Engineers with expertise in Python, ML, Generative AI and LLMs to design, deploy, and optimize AI-powered solutions for enterprise applications.

You will build AI services, implement RAG and vector retrieval, collaborate with Product and Data teams, and mentor junior engineers. Strong software fundamentals and hands-on experience in MLOps, cloud-native platforms, and governance are required.

Qualifications

• Strong software engineering fundamentals.
• Hands-on in production-grade AI solutions.
• Experience with AI governance and ethics.
• Experience with enterprise AI deployments.

Responsibilities

• Design, develop, deploy AI/ML and GenAI solutions.
• Collaborate with Product, Engineering, Data teams on technical design and POCs.
• Mentor engineers and lead technical initiatives at senior levels.
• Establish architecture decisions and code review standards.

Skills

AI/ML engineering

GenAI platforms

LLM evaluation

Vector databases

Prompt engineering

Distributed AI systems

Cloud-native AI

MLOps

GPU deployment

Education

Bachelor's or Master's in CS/AI/DS

Tools

LangSmith

RAGAS

DeepEval

LLM as a Judge

Job description

Role Overview

• We are seeking passionate AI Engineers with expertise in Python, Machine Learning, Generative AI, LLMs, and AI platform engineering to build next-generation AI-powered solutions.
• The role involves designing, developing, deploying, and optimizing AI/GenAI applications, integrating Large Language Models (LLMs), implementing RAG architectures, and building scalable AI services for enterprise applications.
• Candidates should possess strong software engineering fundamentals and hands-on experience in building production-grade AI solutions, working across model development, deployment, MLOps, orchestration frameworks, and cloud-native environments.

Key Responsibilities

AI & Generative AI Development

• Design, develop, and deploy AI/ML and Generative AI solutions.
• Build applications leveraging LLMs, embeddings, transformers, and Retrieval-Augmented Generation (RAG).
• Develop AI-powered services and APIs using Python and/or Java.
• Create prompt engineering frameworks and optimize AI model performance.
• Implement semantic search, vector retrieval, and conversational AI solutions.

AI Governance & Responsible AI

• Implement AI guardrails and safety mechanisms.
• Support explainability, compliance, and enterprise AI governance.
• Establish evaluation and benchmarking frameworks for AI models.
• Ensure secure and ethical use of AI technologies.

Collaboration & Leadership

• Work closely with Product, Engineering, Business, and Data teams.
• Participate in solution design, POCs, and technical discussions.
• Conduct code reviews and ensure engineering best practices.
• (Senior Levels) Mentor junior engineers and lead technical initiatives.
• Required Skills by Level L4/L5 Senior AI Engineer / Lead (6-9 Years)

Technical Skills

• Deep expertise in AI/ML engineering and GenAI platforms.
• LLM Evaluation & Observability Exposure to tools such as LangSmith, LLM as a Judge, RAGAS, DeepEval or equivalent.
• Experience designing enterprise-scale AI architectures.
• Strong understanding of agentic AI and orchestration frameworks.
• LLM fine-tuning, optimization, inference engineering, and model serving.
• Expertise in RAG, vector databases, and semantic retrieval.
• Advanced prompt engineering and evaluation frameworks.
• Distributed AI systems and GPU-based deployments.
• AI governance, guardrails, explainability, and observability.
• Cloud-native AI platform engineering.

Leadership Expectations : -

• Lead architecture and technical design decisions.
• Mentor engineers and drive engineering excellence.
• Conduct effective code reviews for production-grade systems.
• Collaborate with stakeholders to define AI strategy and roadmap.
• Drive AI platform scalability, reliability, and governance initiatives.

Preferred Qualifications : -

• Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, or related field.
• Experience with OpenAI, Azure OpenAI, Anthropic, Llama, Gemini, or similar LLM platforms.
• Exposure to enterprise AI deployments and governance frameworks.
• Strong problem-solving and communication skills.