Generative AI Engineer

Description

• Work closely with domain experts to understand the latest research findings and incorporate them into Agents.
• Keep abreast of the latest advancements in NLP and ML and other deep Learning Models to ensure our solutions remain at the forefront of technology.
• Design intelligent agentic workflows that integrate seamlessly with business applications.
• Contribute to the development of APIs and user-facing tools that make AI accessible.
• Collaborate with product, engineering, and research teams to deliver impactful AI solutions.
• Work with large, text-heavy datasets using preprocessing, feature engineering, and embedding strategies.
• Collaborate with software developers to create user-friendly interfaces and tools that can be used to visualize and analyze as per the business requirements.
• Build, train, and optimize generative AI models for production use cases.
• Shape a first-of-its-kind AI + clean energy platform.
• Continuously monitor and improve AI systems for scalability, performance, and accuracy.
• Design, implement, and fine-tune ML/DL models, with a focus on LLMs and generative AI systems.
• Stay updated on emerging research in NLP, ML, and AI, integrating best practices into production workflows.
• Apply advanced techniques (e.g., RAG, optimization algorithms, transformer architectures) to improve model performance.

Requirements

Soft Skills

We are seeking a highly skilled and innovative Generative AI Engineer to design, develop, and optimize cutting-edge AI systems that power intelligent, scalable, and agent-driven workflows. This role blends the frontier of generative AI research with robust engineering, requiring expertise in machine learning, deep learning, and large language models (LLMs) and latest trends going on in the industry. The ideal candidate will collaborate with cross-functional teams to build production-ready AI solutions that address real-world business challenges while keeping our platforms at the forefront of AI innovation.

• Experience on using the LLMs, Hugging Face, LangChain, API Design, RAG, Vector Databases, OpenAI APIs, Gemini APIs.
• Programming Language Experience in Python.
• Strong problem-solving and analytical skills and learning mode.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Collaborative mindset, with ability to work across research, engineering, and product teams.
• Strong Foundations on the conceptual & implementation aspects of machine & deep learning models and agents.
• Experience with time series models (ARIMA, SARIMA, LSTM, Transformer models, etc.)
• Strong problem-solving ability and a drive for innovation, and eagerness to learn emerging technologies and passion for building impactful solutions.
• A history of successfully building and deploying AI/ML solutions.
• Strong background in AI/ML with production-grade deployments.
• Startup DNA → bias to action, comfort with ambiguity, love for fast iteration, and flexible and growth mindset.
• 1–2 years of hands-on experience in ML, LLMs, or Generative AI development and Multi Agent systems.
• Excellent communication abilities, capable of simplifying technical concepts for non-technical audiences.

Benefits

• A chance to leave your mark at the intersection of AI, design, and sustainability.
• Work with a small, mission-driven team obsessed with impact.

Training + Development

Interview process

Visa Sponsorship

Security clearance