
Staff Machine Learning Engineer
- Hyderabad, Telangana
- Permanent
- Full-time
- Lead the design and architecture of Agentic AI solutions, including agent reasoning, memory, and orchestration pipelines.
- Own end-to-end solution delivery design, development, optimization, and deployment of AI/ML systems ensuring scalability, reliability, and performance.
- Build and refine AI applications using modern frameworks (LangChain, LangGraph, OpenAI/Anthropic SDKs/APIs), with strong focus on prompt engineering and pipeline optimization.
- Provide technical leadership mentor engineers, review code, set best practices, and foster a culture of innovation and collaboration.
- Work closely with data scientists, product managers, Architectes and leadership to translate business requirements into technical solutions with measurable impact.
- Stay at the forefront of emerging LLM/Agentic AI advancements, integrating new techniques into the platform.
- Publish and share insights (internally and externally) through blogs, presentations, or papers to advance thought leadership in LLM and Agentic AI.
- Experience with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
- Experience in using AI Productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have
- 8+ years of experience designing and implementing complex enterprise applications, with proven success in conversational AI and NLP platforms.
- Experience developing LLM-based features. Experience in prompt engineering is a plus or nice to have.
- Strong development skills in Java and Python (production-grade AI systems).
- Expertise in LLM powered applications, including LangChain, LangGraph, and OpenAI/Anthropic APIs.
- Deep understanding of Agentic reasoning pipelines, evaluation frameworks, and advanced NLP techniques.
- Strong problem solving abilities with a bias for action, customer first mindset, and ability to work in fast paced environments.
- Analytical expertise in evaluating model performance, optimizing inference costs, and improving system efficiency.
- Proven ability to translate complex AI concepts into business value and communicate effectively with technical and non-technical stakeholders.
- Experience providing technical leadership and guiding successful AI/ML engineering projects.
- Bonus: Publications, technical blogs, or open-source contributions in LLM/AI.