Senior AI/ML Architect

Space Inventive, Inc; Hyderabad; Híbrido; INR 4.000.000 - 7.500.000; Jornada completa

Descripción de la vacante

Space Inventive, Inc in Hyderabad is seeking an experienced AI/ML engineer to design and deploy agentic AI systems and leverage LLMs to solve complex challenges.

You will lead system design for AI/GenAI, build advanced agentic workflows, implement A2A protocols and MCPs, and mentor junior engineers in a hybrid work environment.

Formación

• 8+ years of professional AI/ML engineering experience.
• Portfolio of production-grade AI/ML systems.
• Strong Python and AI/ML frameworks.
• Experience with scalable GenAI architectures.

Responsabilidades

• Design, architect, and deploy scalable agentic AI systems from concept to production.
• Lead system design for AI/ML and GenAI solutions, ensuring scalability, reliability, and performance.
• Build and optimize advanced agentic workflows including multi-agent orchestration, memory, tool usage, and reasoning pipelines.
• Design and implement A2A communication protocols for seamless coordination between distributed AI agents.
• Integrate and manage MCPs to enable structured context sharing, tool interoperability, and dynamic knowledge access for LLM-based systems.
• Utilize and fine-tune LLMs to build intelligent, responsive, and scalable applications.
• Apply expert-level prompt engineering techniques to optimize model performance, accuracy, and efficiency.
• Develop and deploy AI solutions on AWS cloud infrastructure (ECS, Lambda, S3, Bedrock, API Gateway).
• Write clean, robust, and maintainable Python code following best practices.
• Collaborate with product managers, data scientists, and engineers in a hybrid work environment.

Conocimientos

Python

TensorFlow

PyTorch

Hugging Face

System design

GenAI architectures

A2A protocols

MCPs

LLMs

Prompt engineering

AWS

Educación

BTech/MTech in Computer Science, Artificial Intelligence, or a related field

Herramientas

AWS (ECS)

Lambda

S3

Bedrock

API Gateway

Descripción del empleo

Employment Type: Full-time

Work Mode: Hybrid

Experience: 8+ Years

About the Role:

We are seeking a highly skilled and innovative to join our dynamic team. In this role, you will be at the forefront of developing next-generation artificial intelligence solutions. You will specialize in designing and implementing sophisticated agentic AI systems and leveraging the power of Large Language Models (LLMs) to solve complex challenges. If you are passionate about building intelligent systems and want to make a significant impact, this is the perfect opportunity for you.

Key Responsibilities:

• Design, architect, and deploy scalable agentic AI systems from concept to production.
• Lead system design for AI/ML and GenAI solutions, ensuring scalability, reliability, and performance.
• Build and optimize advanced agentic workflows including multi-agent orchestration, memory, tool usage, and reasoning pipelines.
• Design and implement Agent-to-Agent (A2A) communication protocols for seamless coordination between distributed AI agents.
• Integrate and manage Model Context Protocols (MCPs) to enable structured context sharing, tool interoperability, and dynamic knowledge access for LLM-based systems.
• Utilize and fine-tune Large Language Models (LLMs) to build intelligent, responsive, and scalable applications.
• Apply expert-level prompt engineering techniques to optimize model performance, accuracy, and efficiency.
• Develop and deploy AI solutions on AWS cloud infrastructure (e.g., ECS, Lambda, S3, Bedrock, API Gateway).
• Write clean, robust, and maintainable code, primarily in Python, following best practices for software development.
• Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to define requirements and deliver high-quality AI features.
• Stay current with the latest advancements in AI, machine learning, NLP, and GenAI ecosystems.
• Mentor junior engineers and contribute to a culture of technical excellence and continuous learning.

Required Qualifications and Skills:

• BTech/MTech in Computer Science, Artificial Intelligence, or a related field.
• 4+ years of professional experience in AI/ML engineering with a strong portfolio of production-grade systems.
• Expert proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Hugging Face).
• Strong experience in system design for scalable AI/ML and GenAI architectures.
• Hands-on experience with advanced agentic AI concepts such as planning, reasoning, tool use, memory management, and multi-agent systems.
• Experience implementing A2A protocols for distributed agent communication and coordination.
• Familiarity with Model Context Protocols (MCPs) or similar frameworks for context orchestration and tool integration.
• Deep understanding and practical experience with Large Language Models (LLMs).
• Proven expertise in prompt engineering, evaluation, and optimization techniques.
• Experience working with AWS cloud services for deploying and scaling AI solutions.
• Strong problem-solving skills and analytical mindset.
• Excellent communication and collaboration skills in a hybrid work environment.

Good to Have:

• Familiarity with MLOps, CI/CD pipelines, and model monitoring.
• Exposure to multi-agent ecosystems, protocol standardization, and AI interoperability frameworks.