AI Engineer

Coforge is actively seeking a highly skilled and experienced Senior Engineer or Technical Lead specializing in Gen AI and Agentic AI. This pivotal role involves designing, developing, and deploying cutting-edge AI/ML solutions, with a strong emphasis on Generative AI and autonomous agents. The successful candidate will drive technical innovations and contribute significantly to our AI-driven product features and enhancements, working with modern AI frameworks and cloud platforms.

As a Senior Engineer / Technical Lead, you will be at the forefront of building intelligent systems, leveraging large language models (LLMs) and advanced machine learning techniques to solve complex real-world problems. This role demands a strong proficiency in Python and a deep understanding of AI/ML solution development, from data ingestion to model deployment and monitoring. Join Coforge and contribute to shaping the future of AI engineering with industry expertise.

Key Responsibilities

• Lead the development of new AI-driven product features and technical innovations.
• Design and develop robust Generative AI and Agentic AI solutions utilizing LLMs and modern AI frameworks.
• Build intelligent systems with autonomous agents, multi-agent frameworks, and orchestration workflows.
• Develop and optimize machine learning models and deep learning architectures for diverse use cases.
• Implement end-to-end pipelines for data ingestion, preprocessing, model training, evaluation, and deployment.
• Work extensively with LLMs (e.g., OpenAI, Llama), prompt engineering, fine-tuning, and embedding solutions.
• Design scalable Retrieval Augmented Generation (RAG) architectures for enterprise applications.
• Develop APIs and microservices to seamlessly integrate AI models into enterprise platforms.
• Optimize model performance, latency, and cost for production-grade deployments on cloud platforms like AWS, Azure, and GCP.
• Collaborate effectively with cross-functional product, engineering, and data teams.
• Ensure production stability through strong debugging, troubleshooting, and root cause analysis skills.
• Implement Responsible AI practices, including model governance, bias mitigation, and robust evaluation frameworks.

Requirements

• Minimum 3-14 years of overall experience, with at least 2 years in building scalable AI/ML solutions.
• Strong proficiency in Python and key ML libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch.
• Extensive experience with Generative AI (LLMs) and Agentic AI / AI Agents.
• Hands-on experience with Natural Language Processing (NLP) techniques, including text classification, summarization, and semantic search.
• Familiarity with vector databases (e.g., FAISS, Pinecone).
• Experience with containerization using Docker and CI/CD practices for ML pipelines.
• Superior problem-solving abilities and strong debugging capabilities.
• Flexible, self-driven, and possesses a collaborative approach to problem-solving.

What We Offer

• Opportunity to work on cutting-edge Generative AI and Agentic AI technologies.
• A dynamic and collaborative work environment.
• Exposure to enterprise-level AI solution development and cloud platforms.
• Continuous learning and professional growth opportunities.
• Contribution to impactful AI-driven product innovations.