12+ years of experience in software engineering with strong expertise in Python and backend system development
Extensive experience in designing scalable, secure, multi-tenant AI/ML platforms
Deep expertise in LLMs (OpenAI, Gemini, Anthropic, Llama) and agentic AI systems
Hands-on experience with agent frameworks such as AutoGen, CrewAI, LangGraph, and LangChain ecosystem (LangChain, LangSmith, LangFlow)
Strong experience building RAG-based systems and working with vector databases
Proficiency in Python ecosystem including PyTorch, Scikit-learn, LlamaIndex, and evaluation tools like DeepEval
Deep understanding of LLM concepts (prompt engineering, fine-tuning, function/tool calling, RAG)
Strong experience in microservices architecture, REST APIs, and event-driven systems
Expertise in relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis)
Experience with cloud platforms (AWS, Azure, Google Cloud Platform) and cloud-native architectures
Familiarity with Docker, Kubernetes, and modern DevOps practices
Experience with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions)
Strong exposure to observability tools for logging, monitoring, and tracing AI systems
Strong understanding of system design, scalability, and engineering best practices
Proven ability to lead architectural discussions, mentor teams, and engage with stakeholders and clients
Never miss an opportunity! Create an alert based on the job you applied for.