Design, develop, and deploy scalable AI/ML and Generative AI solutions (LLMs, RAG, agentic AI). Build AI agents, create intelligent workflows, fine-tune and monitor models, integrate with enterprise systems, and support production deployment and continuous improvement.
AI Engineer with Gen AI/ Agentic AI Experience
Experience: 6-8 Years
Location: [Pune/Hyderabad/Bangalore]
About the Role
Seeking a skilled AI/ML Engineer with hands-on experience in Machine Learning, Generative AI, and Agentic AI to build scalable, enterprise-grade AI solutions. The role involves working across the AI lifecycle, from solution design and model development to deployment and business adoption.
Key Responsibilities
- Design, develop, and deploy AI/ML solutions aligned with business objectives.
- Build and optimize GenAI applications leveraging LLMs, RAG architectures, and AI agents.
- Develop intelligent workflows and autonomous agents to automate business processes.
- Collaborate with business stakeholders, product teams, and engineers to identify and implement AI use cases.
- Evaluate, fine-tune, and monitor ML and GenAI models for performance and reliability.
- Develop reusable frameworks, accelerators, and best practices for AI adoption.
- Support production deployment, monitoring, troubleshooting, and continuous improvement of AI solutions.
Mandatory skills & experience
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.
- 6-8 years of experience in AI/ML solution development and deployment.
- Strong expertise in Python and machine learning development.
- Hands-on experience with supervised and unsupervised machine learning techniques.
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or equivalent.
- Strong understanding of Generative AI, Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG).
- Hands-on experience building AI Agents and Agentic AI solutions using modern orchestration frameworks.
- Experience with vector databases, embeddings, and semantic search concepts.
- Knowledge of REST APIs, microservices, and enterprise system integrations.
- Experience working with cloud platforms such as Azure, AWS, or GCP.
- Strong analytical, problem-solving, and stakeholder management skills.
Good-to-Have Skills
- Experience in Computer Vision, NLP, Recommendation Systems, or Time Series Forecasting.
- Relevant certifications in AI/ML, Generative AI, Azure, AWS, or GCP will be an added advantage.
- Knowledge of Docker, Kubernetes, and CI/CD pipelines.
- Understanding of Responsible AI, AI Governance, and Model Explainability.
Key Responsibilities
- Design, develop, and deploy AI/ML solutions aligned with business objectives.
- Build and optimize GenAI applications leveraging LLMs, RAG architectures, and AI agents.
- Develop intelligent workflows and autonomous agents to automate business processes.
- Collaborate with business stakeholders, product teams, and engineers to identify and implement AI use cases.
- Evaluate, fine-tune, and monitor ML and GenAI models for performance and reliability.
- Develop reusable frameworks, accelerators, and best practices for AI adoption.
- Support production deployment, monitoring, troubleshooting, and continuous improvement of AI solutions.
Mandatory skills & experience
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.
- 6-8 years of experience in AI/ML solution development and deployment.
- Strong expertise in Python and machine learning development.
- Hands-on experience with supervised and unsupervised machine learning techniques.
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or equivalent.
- Strong understanding of Generative AI, Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG).
- Hands-on experience building AI Agents and Agentic AI solutions using modern orchestration frameworks.
- Experience with vector databases, embeddings, and semantic search concepts.
- Knowledge of REST APIs, microservices, and enterprise system integrations.
- Experience working with cloud platforms such as Azure, AWS, or GCP.
- Strong analytical, problem-solving, and stakeholder management skills.
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We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.
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