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Job details:
Key Responsibilities
- Design and develop LLM-powered applications using Gemini and Anthropic APIs
- Build and maintain agentic AI workflows using LangChain, LangGraph.
- Design and implement various agentic workflow patterns (sequential, parallel, etc)
- Build RAG pipelines including modern approaches .
- Develop FastAPI-based Python backend services and REST APIs
- Build serverless functions and event-driven architectures on AWS.
- Automate browser-based workflows using Playwright or similar tools
- Familiarity with containerize tools like docker.
- Stay current with the latest LLM models, agentic frameworks, and GenAI trends and apply them to real product problems
- Collaborate closely with the team in a fast-paced, iterative startup environment
Required Skills & Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
- Strong proficiency in Python - clean, maintainable, production-quality code
- Hands-on experience with LangChain, LangGraph and other agentic frameworks.
- Working knowledge of Gemini and/or Anthropic APIs.
- Data validation libraries like Pydantic.
- Basic understanding of RAG applications.
- Able to work with NoSQL or key-value databases.
- Practical knowledge of different agentic workflow patterns and when to apply them
- Experience building REST APIs with FastAPI
- Working or basic understanding of serverless functions like AWS lambda.
- Familiarity with Docker and basic CI/CD workflows
- Familiarity with browser automation using Playwright, Selenium, Crawl4ai or equivalent
- Actively follows the GenAI and agentic AI space - aware of the latest model releases, frameworks, and emerging techniques
Nice to Have
- Experience with vector databases (Pinecone, Weaviate, ChromaDB, etc.)
- Tools like N8N for no-code automations.
- SQL proficiency and experience working with relational databases
- Knowledge of LLM observability and LLMOps practices - tracing, evaluation, monitoring (e.g. LangSmith)
- Exposure to multi-agent systems, agent memory, and long-running agent workflows
- Prior internship, freelance, or personal project experience building GenAI applications
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