Senior Software Engineer – AI/ML & Agentic Systems
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Key skills for this role
Role Overview
Senior Software Engineer role focused on AI/ML and agentic systems.
The role supports automation, test generation, failure analysis, and production AI solutions.
The stated location is Bangalore or Hyderabad, as applicable.
Key Skills for This Role
Full Job Posting
Role Overview
Senior Software Engineer role focused on AI/ML and agentic systems.
The role supports automation, test generation, failure analysis, and production AI solutions.
The stated location is Bangalore or Hyderabad, as applicable.
Experience and Education
- Requires 5–8 years of professional experience.
- Requires a bachelor’s or master’s degree in Computer Science, Electrical and Electronics Engineering, or a related field.
Core Skills
- Python programming, AI agents, multi-agent systems, and machine learning using PyTorch, TensorFlow, or Scikit-learn.
- LLMs, prompt engineering, RAG, LangChain, and AutoGen.
- FastAPI or Flask, Snowflake, SQL, MySQL, MLOps, model deployment, and Linux/Unix.
- C++ is preferred.
Job Responsibilities
- Design and deploy AI agents and multi-agent workflows for automation, test generation, and failure analysis.
- Build, train, and optimize models for anomaly detection, predictive analytics, and test optimization.
- Develop scalable LLM and RAG solutions and integrate AI systems with enterprise databases and data pipelines.
- Develop production-grade Python backend applications.
- Implement MLOps practices for model deployment, monitoring, and lifecycle management.
- Collaborate with engineering teams on integration and knowledge transfer.
Preferred Experience
- Hands-on experience with LangChain, AutoGen, or similar AI agent frameworks.
- Strong expertise in LLM APIs, prompt engineering, and RAG pipelines.
- Experience deploying machine-learning models in production environments.
- Proficiency in FastAPI or Flask API development.
- Strong understanding of Linux environments, infrastructure automation, and backend engineering.
- Knowledge of FPGA, validation, or test automation environments is advantageous.
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