AI Engineer with Python
Location:Pune
Experience:5 to 12 Years
Responsibilities :
- Design and implement end‑to‑end GenAI and LLM‑based solutions using Python and AWS.
- Build intelligent pipelines leveraging AWS Bedrock, Foundation Models, and prompt‑engineering techniques.
- Develop AI agents using frameworks like Agent Core, LangChain, and related orchestration tools.
- Create serverless AI applications using AWS Lambda, API Gateway, and event-driven architectures.
- Integrate LLMs with enterprise systems, APIs, vector databases, and RAG‑based solutions.
Must‑Have Skills
Core AI & Python
- Strong hands‑on experience with Python and AI/ML development.
- Expertise in Generative AI, LLMs, prompt engineering, and RAG pipelines.
- Practical experience with LangChain and agent‑based frameworks (Agent Core or similar).
AWS Cloud
- Experience building AI solutions on AWS using:
- AWS Bedrock (must have)
- AWS Lambda
- API Gateway
Agentic Systems
- Experience designing and deploying AI agents, multi‑step reasoning workflows, and tool‑calling pipelines.
Good‑to‑Have Skills
Exposure to broadAI Engineer(PyAWS) - TA
Responsibilities :
- Design and implement end‑to‑end GenAI and LLM‑based solutions using Python and AWS.
- Build intelligent pipelines leveraging AWS Bedrock, Foundation Models, and prompt‑engineering techniques.
- Develop AI agents using frameworks like Agent Core, LangChain, and related orchestration tools.
- Create serverless AI applications using AWS Lambda, API Gateway, and event-driven architectures.
- Integrate LLMs with enterprise systems, APIs, vector databases, and RAG‑based solutions.
Must‑Have Skills
Core AI & Python
- Strong hands‑on experience with Python and AI/ML development.
- Expertise in Generative AI, LLMs, prompt engineering, and RAG pipelines.
- Practical experience with LangChain and agent‑based frameworks (Agent Core or similar).
AWS Cloud
- Experience building AI solutions on AWS using:
- AWS Bedrock (must have)
- AWS Lambda
- API Gateway
Agentic Systems
- Experience designing and deploying AI agents, multi‑step reasoning workflows, and tool‑calling pipelines.
Good‑to‑Have Skills
- Exposure to broader AI frameworks (e.g., PyTorch, TensorFlow).
- Experience with MCP (Model Context Protocol).
- Knowledge of QuickSuite, Deep Research, or similar research‑automation stacks.
- Experience with Hierarchical Agents / Multi‑agent architectures.
- Familiarity with vector databases (FAISS, Pinecone, Weaviate).
- er AI frameworks (e.g., PyTorch, TensorFlow).
- Experience with MCP (Model Context Protocol).
- Knowledge of QuickSuite, Deep Research, or similar research‑automation stacks.
- Experience with Hierarchical Agents / Multi‑agent architectures.
- Familiarity with vector databases (FAISS, Pinecone, Weaviate).
If you wish to apply send the updated resume to [Confidential Information]
Also confirm your availability for the virtua; discussion on 19 Apr (11am,12pm)
Regards,
Jaya
