Generative AI Engineer

Location : Bengaluru, Karnataka

About the Company :

Sustainability Economics.ai is a global organization, pioneering the convergence of clean energy and AI, enabling profitable energy transitions while powering end-to-end AI infrastructure. By integrating AI-driven cloud solutions with sustainable energy, we create scalable, intelligent ecosystems that drive efficiency, innovation, and long-term impact across industries. Guided by exceptional leaders and visionaries with decades of expertise in finance, policy, technology, and innovation, we are committed to making long-term efforts to fulfil this vision through our technical innovation, client services, expertise, and capability expansion.

Role Summary :

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.

Key Tasks and Accountability :

Strong Foundations on the conceptual & implementation aspects of machine & deep learning models and agents.

Experience on using the LLMs, Hugging Face, LangChain, API Design, RAG, Vector Databases, OpenAI APIs, Gemini APIs.

Design, implement, and fine-tune ML / DL models, with a focus on LLMs and generative AI systems.

Apply advanced techniques (e.g., RAG, optimization algorithms, transformer architectures) to improve model performance.

Stay updated on emerging research in NLP, ML, and AI, integrating best practices into production workflows.

Work with large, text-heavy datasets using preprocessing, feature engineering, and embedding strategies.

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.

Experience with time series models (ARIMA, SARIMA, LSTM, Transformer models, etc.)

Programming Language Experience in Python.

Work closely with domain experts to understand the latest research findings and incorporate them into Agents.

Collaborate with software developers to create user-friendly interfaces and tools that can be used to visualize and analyze as per the business requirements.

Key Requirements :

Education & Experience

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

1–2 years of hands-on experience in ML, LLMs, or Generative AI development and Multi Agent systems.

Strong background in AI / ML with production-grade deployments.

Soft Skills

Strong problem-solving and analytical skills and learning mode.

Excellent communication abilities, capable of simplifying technical concepts for non-technical audiences.

Collaborative mindset, with ability to work across research, engineering, and product teams.

What You’ll Do

Build, train, and optimize generative AI models for production use cases.

Design intelligent agentic workflows that integrate seamlessly with business applications.

Collaborate with product, engineering, and research teams to deliver impactful AI solutions.

Contribute to the development of APIs and user-facing tools that make AI accessible.

Continuously monitor and improve AI systems for scalability, performance, and accuracy.

What you bring

A history of successfully building and deploying AI / ML solutions.

Strong problem-solving ability and a drive for innovation, and eagerness to learn emerging technologies and passion for building impactful solutions.

Startup DNA → bias to action, comfort with ambiguity, love for fast iteration, and flexible and growth mindset.

Why Join Us

Shape a first-of-its-kind AI + clean energy platform .

Work with a small, mission-driven team obsessed with impact.

An aggressive growth path.

A chance to leave your mark at the intersection of AI, design, and sustainability .