AI Engineer

Diverse Lynx India

🇮🇳 India

On-site

2 months ago

AI/ML
Machine Learning
AI
System Design
RAG
Python
PyTorch
TensorFlow
Hugging Face
LangChain
LlamaIndex
CrewAI
AWS
Azure AI
GCP
Vertex AI

2 months ago

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Role Overview: Design, develop, and deploy scalable AI/ML and GenAI solutions to solve complex business problems. Work closely with data scientists, business stakeholders, and cloud teams to build production-grade AI systems.

Key Responsibilities:

· Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.

· Design, build, and operate production-grade agentic AI systems used across multiple products.

· Own and evolve shared agentic AI capabilities, including:

· Design and Develop Agent frameworks and orchestration layers

· Planning, tool use, and memory strategies

· Design Retrieval and grounding (RAG) pipelines

· LLM infrastructure, inference, and model gateways

· Evaluation, observability, and safety tooling for autonomous systems

· Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.

· Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production.

· Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements.

Technical Skills:

· 6+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure, async processing, queues, and streaming systems

· Advanced proficiency in Python, Hands-on experience with PyTorch, TensorFlow, Hugging Face.

· Practical knowledge of model orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI), Familiarity with vector databases

· Experience with cloud platforms (AWS, Azure AI, Google Cloud Vertex AI) and containerization technologies

· Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.

· Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.

· Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.

· Fluency with AI-assisted and agentic development workflows.

· Ability to influence technical direction and align teams without formal authority.

· Problem-solving, cross-functional collaboration, and the ability to articulate complex AI concepts to non-technical business stakeholders

AI Engineer · Diverse Lynx India

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