Lead - AI Engineer / DVP - AI Engineering

Lead - AI Engineer / DVP - AI Engineering
Job Title: Lead AI Engineer
🎯 Role Overview
We are seeking a highly experienced and hands-on Lead AI
Engineer to architect, build, and scale production-grade Artificial
Intelligence and Machine Learning solutions. This role requires deep technical
expertise, strong engineering discipline, and the ability to guide teams in
translating AI concepts into secure, reliable, and business-ready platforms.
You will lead advanced AI workloads including Generative AI
application development, Retrieval-Augmented Generation, agentic workflows,
predictive modeling, and intelligent automation. You will also provide
technical direction, mentor engineers, establish engineering best practices,
and ensure AI solutions deliver measurable impact across digital platforms.
🛠️ Key Responsibilities
·
Technical Leadership:
Lead the design, development, and deployment of scalable AI and Generative AI
solutions, providing technical direction across architecture, implementation,
and production readiness.
·
AI Solution
Architecture: Architect robust Retrieval-Augmented Generation pipelines,
vector search systems, model orchestration layers, and enterprise-grade AI
services.
·
Agentic & Autonomous
Workflows: Design and guide the development of multi-agent AI systems
capable of executing complex business processes, tool use, reasoning, and
workflow automation.
·
Platform & API
Engineering: Build and oversee secure, scalable REST or gRPC services that
expose AI capabilities to digital products, backend platforms, and enterprise
systems.
·
Evaluation, Governance
& Guardrails: Establish AI evaluation frameworks, quality benchmarks,
content safety controls, hallucination mitigation strategies, and responsible
AI practices.
·
Performance & Cost
Optimization: Optimize models, prompts, embeddings, inference workloads,
and infrastructure to improve latency, reliability, token efficiency, and cloud
cost effectiveness.
·
Mentorship &
Engineering Excellence: Mentor engineers, conduct technical reviews, define
coding standards, and promote reusable AI components, testing practices,
documentation, and operational discipline.
🧰 Required Technical
Skills
·
Programming Languages:
Expert proficiency in Python with strong software engineering
fundamentals, clean architecture, testing practices, and performance-aware
development.
·
AI Frameworks:
Advanced hands-on experience with LangChain, LlamaIndex, AutoGen, or
similar orchestration frameworks, along with deep learning frameworks such as PyTorch
or TensorFlow.
·
LLMs & Foundation
Models: Proven experience selecting, fine-tuning, prompting, evaluating,
and deploying commercial and open-weight models including OpenAI, Anthropic,
Llama, Mistral, vLLM, Ollama, or equivalent platforms.
·
Vector Databases:
Strong experience designing semantic search and retrieval systems using Pinecone,
Milvus, Qdrant, pgvector, or similar vector database technologies.
·
MLOps & Cloud
Infrastructure: Strong experience with model lifecycle management,
deployment automation, observability, CI/CD, containerization, and cloud AI
platforms such as AWS SageMaker, AWS Bedrock, or equivalent services.
·
Data Engineering &
Pipelines: Solid understanding of SQL, distributed data processing,
orchestration tools such as Apache Airflow or Prefect, and reliable data
ingestion for AI training, retrieval, and contextual grounding.
💼 Qualifications &
Experience
·
Experience: 8+ years of professional experience in
software engineering, machine learning, or applied AI, with at least 2–3+ years
building and shipping Generative AI, LLM, or ML products into production.
·
Industry Background:
Experience delivering AI systems in regulated or large-scale digital
environments such as Fintech, Banking, E-commerce, Healthcare, or enterprise
platforms is highly preferred.
·
Education:
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence,
Data Science, Engineering, or an equivalent technical discipline; advanced
certifications or open-source contributions are a plus.
🌟 Core Competencies
·

Experience
8 - 10 Years

Employment type
Full Time

Work arrangement
No