Architect and implement AI systems using agentic principles (e.g., task decomposition, autonomous agents, memory, and tool use).
Design modular Python-based frameworks that support agent collaboration, orchestration, and decision-making.
Integrate LLMs (e.g., GPT, Claude) with external tools, APIs, and databases to enable agent capabilities.o Develop and optimize agent communication protocols, memory systems, and planning strategies.
Ensure scalability, reliability, and security of AI applications in production environments.
Collaborate with data scientists, ML engineers, and product teams to align architecture with business goals.
Evaluate and integrate open-source agentic frameworks (e.g., Google ADK, LangChain, AutoGen, CrewAI, MetaGPT).
Mandatory skills - Technical Skills:
Expert-level Python programming, Agentic AI and software architecture.
Strong understanding of AI/ML concepts, especially LLMs and agentic systems.
Experience with frameworks like Google ADK, LangChain, Hugging Face Transformers, Ray, or similar.
Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Knowledge of prompt engineering, vector databases (e.g., FAISS, Pinecone), and tool chaining.
Job Types: Full-time, Permanent
Pay: $5,000.00 - $10,000.00 per month
Benefits:
Health insurance
Schedule:
Day shift
Monday to Friday
Experience:
* AI: 5 years (Preferred)
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