GenAI Engineer

Job Summary

AI Engineer

You will work with both Microsoft/Amazon technologies (Copilot Studio, AI Foundry, Azure OpenAI, AWS Bedrock, OpenAI) and open-source frameworks to design, deploy, and manage enterprise-ready AI solutions.

Responsibilities

• Drive end-to-end AI application development—from idea conception and hypothesis formulation through rigorous testing to production deployment and monitoring, ensuring solutions solve real-world problems.
• Embrace a boundaryless approach to technology, collaborating across backend systems, frontend interfaces (where applicable), automation scripts, and data pipelines to deliver holistic solutions.
• Design, implement, and meticulously fine-tune LLM prompts, embeddings, RAG pipelines, and sophisticated AI agents (using frameworks like Langchain, CrewAI, Bedrock Agents, OpenAI SDK, Autogen etc.) tailored to specific domain use cases and business objectives.
• Architect and build Generative AI solutions that are inherently scalable, secure, cost-efficient, and privacy-conscious, integrating these considerations from the initial design phase.
• Implement robust testing methodologies and MLOps practices specifically for GenAI, focusing on preventing prompt drift, mitigating hallucinations, ensuring model regression testing, and maintaining high performance.
• Maintain exceptionally high standards in code hygiene, implement robust CI/CD practices for AI models and applications, and produce clear, comprehensive documentation.
• Collaborate closely with data analysts and engineers to guarantee data quality, readiness, and the efficiency of data pipelines feeding into GenAI models and applications.
• Formulate and validate hypotheses by engaging directly with stakeholders, understanding their needs deeply, and translating them into actionable technical requirements.
• Champion rapid prototyping and lean experimentation methodologies: build fast, fail fast, learn faster, and iterate quickly to test ideas before committing significant resources.
• Engage proactively and cross-functionally with Product Management, Design, Business Analysts, Security, and Legal teams to navigate complex requirements and deliver impactful solutions.
• Actively contribute to a vibrant culture of learning and innovation by creating tech blogs, developing internal Proofs-of-Concept (POCs), delivering demos, and conducting workshops on GenAI topics.
• Stay relentlessly current with the rapidly evolving Generative AI landscape, including new trends, models, tools (like AWS Bedrock, Azure OpenAI, Vertex AI), and research advancements, critically evaluating opportunities for integration and improvement.
• Provide technical leadership and mentorship to junior engineers, fostering a culture of technical excellence and continuous learning within the GenAI space.

Requirements

• A minimum of 3+ years of Data Science experience, demonstrating strong expertise in building robust AI/ML systems and scalable application architectures.
• At least 2+ years of focused, hands-on experience building and deploying practical Generative AI applications, such as AI virtual assistants, complex AI agents, and content generation tools.
• Managed and delivered solutions for X+ clients, contributing to ₹Y+ in revenue and ensuring high client satisfaction across multiple verticals.
• Spearheaded initiatives that improved operational efficiency and scalability, leading to measurable gains in revenue growth and client acquisition.
• Proven experience utilizing core GenAI tools and platforms like AWS Bedrock (including various foundation models and Bedrock Agents), LangChain, designing and implementing RAG pipelines, leveraging Agent-based frameworks (e.g., CrewAI), working with vector databases (e.g., Pinecone, Weaviate, Qdrant, Milvus, ChromaDB), and understanding LLM principles. Experience with model training/fine-tuning (e.g., LoRA/QLoRA) and core NLP concepts is essential.
• High proficiency in Python and strong familiarity with modern ML/AI libraries (e.g., Hugging Face Transformers, PyTorch/TensorFlow, Scikit-learn, Pandas, NumPy) and relevant SDKs (e.g., Boto3, OpenAI SDK).
• Demonstrated practical experience in developing, performance tuning, and optimizing LLM-based applications, including sophisticated prompt engineering techniques.
• Experience leveraging AI coding assistants (e.g., GitHub Copilot, Amazon Q, Cursor) to accelerate development workflows while maintaining code quality.

About Us

TO THE NEW is a digital technology services company providing innovative product engineering solutions to diverse industries across the globe. We design and build digital platforms with Cloud, Data, and AI as the main pillars.

Global analyst firms like Gartner, Forrester, Everest, ISG, and Zinnov have recognized TO THE NEW for its capabilities across Digital Engineering, Cloud, Media & Entertainment Solutions, Data & AI, and Digital Marketing. Our team of 2200+ passionate ‘Newers’ is spread across North America, EMEA, India, SEA, and ANZ with our headquarters in Singapore. TO THE NEW is an 8-times winner of the prestigious Great Place to Work award. The company has also been recognised as one of India's Top 100 Companies to Work For and is among the Top 50 IT Workplaces in India.