The role involves developing complex AI systems, designing applications with LLMs, performing model fine-tuning, building data pipelines, ensuring model fairness, and translating technical outputs to business insights.
Responsibilities
- Develop and modify complex information system programs. Leads project teams and defines specifications for AI Model Development
- Design and implement end-to-end AI applications using LLMs, multimodal models, and classical ML where appropriate. Integrate foundation models (e.g., GPT-style models, open-source LLMs) into scalable, reliable software systems.
- Perform prompt engineering, fine-tuning, and adapter-based training (e.g., LoRA) to tailor models to domain-specific use cases. Evaluate trade-offs between fine-tuning vs. prompt-based vs. tool-augmented approaches.
- Develop multi-step and multi-agent workflows using LLM orchestration frameworks. Implement guardrails, fallbacks, and human-in-the-loop patterns.
- Collaborate with data engineers to build real-time, scalable data pipelines and deploy models into production environments using cloud platforms. Monitor model behavior, drift, hallucinations, and system performance in production.
- Ensure model transparency and fairness, mitigating bias and documenting model behaviors for regulatory compliance.
- Translate technical outputs into actionable business recommendations, presenting complex findings to non-technical executive leadership
- Read and follow the Underwriters Laboratories Code of Conduct, and follow all physical and digital security practices
Performs other duties as directed.
- University degree in Computer Science or a related discipline.
- 5–8 years of professional experience in data science, machine learning, or AI application development.
- 2–3 years relevant experience in GenAI, LLM fine‑tuning, multi‑agent workflows, and fairness/compliance in AI.
- Hands‑on with prompt engineering, adapter‑based training (LoRA), and orchestration frameworks.
- Advanced technical knowledge and/or software development experience.
- Advanced working knowledge in software application or specific program language requirements of software work.
Bro4u.com Bengaluru, Karnataka, IND Office
4 1st Cross Road, Bengaluru, Karnataka, India, 560010
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What you need to know about the Bengaluru Tech Scene
Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.
