AI Engineer

The Edge Partnership - The Edge in Asia; Hyderabad; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

The Edge Partnership is seeking an experienced AI/ML software engineer to design, build, test, and deploy scalable AI-powered applications with a focus on AI Agents. You will collaborate with data scientists, product owners, and engineers to translate concepts into production-grade software across cloud platforms.

You will develop end-to-end AI solutions, implement MLOps pipelines, and ensure security, scalability, and observability in a cloud-native environment while staying ahead of AI trends.

Qualifications

• Proven experience in building and deploying AI-powered applications.
• Strong knowledge of cloud-native architectures and observability.
• Hands-on with Docker and Kubernetes in production.
• Experience with MLOps frameworks and model lifecycle management.
• Familiarity with Generative AI, LLMs, and agent-based architectures.
• Excellent problem-solving and collaboration skills.

Responsibilities

• Design, build, test, and deploy scalable AI-powered applications focused on AI Agents.
• Collaborate with data scientists, product owners, and engineers to ship production-grade software.
• Develop end-to-end AI solutions from data ingestion to model deployment and monitoring.
• Implement and manage MLOps pipelines for training, evaluation, and deployment.
• Write clean, well-tested code in Python, Java, or Node.js and ensure security and observability.
• Stay updated with AI advancements and apply them to the architecture.

Skills

AI/ML systems

Cloud platforms

Docker & Kubernetes

Python

Java

Node.js

MLOps

LangChain

BigQuery

TensorFlow/PyTorch

Tools

Docker

Kubernetes

MLflow

Kubeflow

LangChain

BigQuery

TensorFlow

PyTorch

scikit-learn

Pandas

Job description

Our client is a financial services group with an integrated global network. Our client builds and maintains software solutions used by agency-model execution business. The business provides brokerage services to clients in over 65 markets around the world. Through its advanced suite of electronic trading strategies, experienced high-touch trading group, top-ranked Commission Management services, award-winning desktop trading platform, and unparalleled access to insightful analytics, content and unique liquidity, execution services business helps institutions lower overall trading costs and ultimately improve investment performance.

Position Type: Permanent

Mode of Interview: Face to Face

Experience: 8 - 13yrs

Some of the key responsibilities will include:

• Design, build, test, and deploy scalable and reliable AI-powered applications, with a primary focus on AI Agents.
• Collaborate closely with data scientists, product owners, and other engineers to translate concepts into production-grade software.
• Develop and maintain the full lifecycle of AI solutions, from data ingestion and processing to model deployment and monitoring.
• Implement and manage MLOps pipelines to ensure efficient and automated training, evaluation, and deployment of predictive algorithms.
• Write high-quality, maintainable, and well-tested code in languages such as Python, Java, or Node.js.
• Ensure the security, scalability, and observability of the AI systems you build within our cloud-native environment.
• Participate in code reviews, providing and receiving constructive feedback to maintain high engineering standards.
• Stay ahead of the latest advancements in AI, machine learning, and software engineering, and apply this knowledge to your work.

To be eligible for this role you will require:

• Proven experience in a software engineering role with a focus on building and deploying applications.
• Proven understanding of software development principles, including experience in building scalable and observable solutions.
• Hands-on experience with at least one major cloud platform (GCP, Azure, or AWS) and a strong grasp of cloud-native architectures.
• Experience with containerization technologies such as Docker and orchestration platforms like Kubernetes.
• A foundational understanding of concepts in artificial intelligence, including supervised and unsupervised learning, and the lifecycle of a machine learning project.
• Familiarity with emerging trends and technologies in AI, such as Generative AI, Large Language Models (LLMs), and Agentic AI architectures.
• Experience with Agile development methodologies and tools like Jira.
• Excellent problem-solving and analytical skills, proficient in resolving complex technical challenges.
• Strong communication and collaboration skills, proficient at working effectively in a team environment.
• Practical experience developing applications that demonstrate advanced conversational AI models and frameworks for crafting AI Agents (e.g. Google ADK, LangChain, CrewAI).
• Experience with MLOps tools and frameworks such as MLflow or Kubeflow.
• Familiarity with data processing alongside artificial intelligence frameworks in Python (e.g., pandas, scikit-learn, TensorFlow, or PyTorch).
• Knowledge of data engineering principles and experience with data storage and processing technologies like BigQuery.
• An understanding of the ethical considerations and potential biases in AI and predictive algorithms.