Job Description:
- 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.• 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 Type: Full-time
Pay: $5,000.00 - $10,000.00 per month
Benefits:
- Health insurance
Schedule:
- Day shift
- Monday to Friday
Experience:
- AI: 4 years (Preferred)
- Python: 3 years (Preferred)