Senior Machine Learning Engineer
- Hyderabad, Telangana
- Permanent
- Full-time
- Design, implement, and optimize LLM pipelines using frameworks such as LangChain, LangGraph, and OpenAI/Anthropic APIs.
- Write clean, efficient, and scalable code in Python and Java, applying best practices in ML engineering and enterprise application development.
- Develop and refine prompt engineering strategies and agent reasoning workflows to improve accuracy and reliability.
- Build and maintain evaluation frameworks for measuring model performance, including custom metrics for agent instructions and reasoning.
- Debug, profile, and optimize inference pipelines for latency and cost efficiency at scale.
- Collaborate closely with data scientists and product teams to translate business needs into technical implementations.
- Contribute to end-to-end development from prototyping to production deployment in enterprise environments.
- Stay current with the latest advancements in LLMs, agentic AI, and orchestration frameworks, applying new techniques where beneficial.
- 5+ years of hands on experience in ML/AI engineering, with a strong focus on building and deploying AI/GenAI applications.
- Proficiency in Python (ML libraries, GenAI/LLM frameworks) and Java (enterprise application development, OOP).
- Practical experience developing with LLM frameworks such as LangChain, LangGraph, and vendor SDKs/APIs (OpenAI, Anthropic, etc.).
- Experience in using Al productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have
- Experience with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization is a plus or nice to have.
- Strong skills in prompt engineering and designing agentic reasoning pipelines.
- Solid understanding of ML evaluation techniques and experience in implementing model monitoring & metrics.
- Proven ability to debug and optimize inference pipelines for performance and cost efficiency.
- Strong problem solving skills with the ability to work in fast paced, agile development environments.
- Bonus: Contributions to open-source projects, blogs, or technical papers in LLM/GenA