Description

Required Skills:
1. AI/ML Engineering and Generative AI solutions
2. AI Co-pilots and conversational AI platforms
3. Forward and reverse Engineering
4. Claude and Gemini - Must

We are seeking a highly skilled AI Engineer with hands-on experience in Generative AI technologies, AI copilots, and advanced engineering methodologies including Forward Engineering and Reverse/Regression Engineering. The ideal candidate will have strong expertise in building intelligent AI-driven solutions using modern LLM platforms such as Claude and Gemini, along with experience integrating AI capabilities into enterprise applications and workflows.

Key Responsibilities:
Design, develop, and deploy AI-powered applications and copilots for enterprise use cases.
Work on Forward Engineering initiatives to modernize applications and build scalable AI-native architectures.
Perform Reverse/Regression Engineering activities for legacy systems, including analysis, optimization, and AI-assisted transformation.
Develop and integrate Large Language Model (LLM)-based solutions using platforms such as Claude and Gemini.
Build intelligent automation workflows leveraging Generative AI technologies.
Collaborate with cross-functional teams including Product, Engineering, and Business stakeholders to define AI solution strategies.
Fine-tune prompts, optimize AI model performance, and improve response accuracy.
Create APIs and integrate AI services into web/mobile/cloud applications.
Ensure AI solutions comply with security, governance, and scalability standards.
Participate in architecture discussions, code reviews, testing, and deployment activities.
Stay updated with emerging AI technologies, frameworks, and industry trends.

Required Skills & Qualifications:
Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
Strong experience in AI/ML Engineering and Generative AI solutions.
Hands-on expertise with AI copilots and conversational AI platforms.
Experience working with Claude and Gemini models/APIs.
Strong understanding of Forward Engineering and Reverse/Regression Engineering concepts.
Proficiency in Python, Java, or other modern programming languages.
Experience with prompt engineering, RAG architectures, vector databases, and LLM integrations.
Knowledge of cloud platforms such as AWS, Azure, or GCP.
Familiarity with REST APIs, microservices, and enterprise application integrations.
Strong analytical, debugging, and problem-solving skills.
Excellent communication and stakeholder management abilities.

Preferred Qualifications:
Experience with OpenAIa, LangChain, Semantic Kernel, or similar AI frameworks.
Exposure to DevOps, CI/CD pipelines, and containerization technologies like Docker/Kubernetes.
Experience building AI agents or enterprise copilots.
Certifications in AI/ML or cloud technologies are a plus

Key Skills

Education

Any Graduate