| Detailed JD (Roles and Responsibilities) | Sr Software engineer AI Langraph Crew AI Auto Gen ECS Lambda (7 Years Experience)
Key Responsibilities: Architect and maintain agentic pipelines (LangGraph CrewAI AutoGen).
- Implement RAG prompt engineering context/memory/state management.
- Develop fine-tune and evaluate LLM models (Bedrock OpenAI Anthropic).
- Prototype classical ML models (forecasting clustering scoring) when required for hybrid AI systems.
- Deploy via SageMaker / ECS / Lambda with observability hooks.
- Implement guardrails evaluation metrics and cost/performance optimization.
- Advise BA team on model selection explainability and feasibility.
- Python backend developer having understanding of design patterns .d Skills & Experience: Preferred Candidate Profile: - Professionals with experience in Captive Centers / Global Capability Centers (GCCs) in a full-time role.
- Strong problem-solving skills and ability to work independently in a fast-paced environment.
|
| Mandatory skills | LangGraph / CrewAI / AutoGen / LangChain / LlamaIndex
- Python (async) FastAPI MLflow PyTorch / Scikit-learn
- LLM fine-tuning (LoRA PEFT embeddings prompt tuning)
- Vector DBs: FAISS Pinecone Chroma
- AWS: Bedrock SageMaker Step Functions ECR
- Statistical ML feature engineering XAI (SHAP/LIME) |
| Desired skills | LangGraph / CrewAI / AutoGen / LangChain / LlamaIndex
- Python (async) FastAPI MLflow PyTorch / Scikit-learn
- LLM fine-tuning (LoRA PEFT embeddings prompt tuning)
- Vector DBs: FAISS Pinecone Chroma
- AWS: Bedrock SageMaker Step Functions ECR
- Statistical ML feature engineering XAI (SHAP/LIME) |
| Work Location | Bangalore / Pune/All Locations |
| Mode of Interview- Telephonic/Face to Face/Video Interview | F2F and Video Interview |
| WFO / WFH / Hybrid | Hybrid |
| Shift Details (Time) | 9 am to 6pm |
Detailed JD (Roles and Responsibilities) Sr Software engineer AI Langraph Crew AI Auto Gen ECS Lambda (7 Years Experience) Key Responsibilities: Architect and maintain agentic pipelines (LangGraph CrewAI AutoGen). - Implement RAG prompt engineering context/memory/state management....
| Detailed JD (Roles and Responsibilities) | Sr Software engineer AI Langraph Crew AI Auto Gen ECS Lambda (7 Years Experience)
Key Responsibilities: Architect and maintain agentic pipelines (LangGraph CrewAI AutoGen).
- Implement RAG prompt engineering context/memory/state management.
- Develop fine-tune and evaluate LLM models (Bedrock OpenAI Anthropic).
- Prototype classical ML models (forecasting clustering scoring) when required for hybrid AI systems.
- Deploy via SageMaker / ECS / Lambda with observability hooks.
- Implement guardrails evaluation metrics and cost/performance optimization.
- Advise BA team on model selection explainability and feasibility.
- Python backend developer having understanding of design patterns .d Skills & Experience: Preferred Candidate Profile: - Professionals with experience in Captive Centers / Global Capability Centers (GCCs) in a full-time role.
- Strong problem-solving skills and ability to work independently in a fast-paced environment.
|
| Mandatory skills | LangGraph / CrewAI / AutoGen / LangChain / LlamaIndex
- Python (async) FastAPI MLflow PyTorch / Scikit-learn
- LLM fine-tuning (LoRA PEFT embeddings prompt tuning)
- Vector DBs: FAISS Pinecone Chroma
- AWS: Bedrock SageMaker Step Functions ECR
- Statistical ML feature engineering XAI (SHAP/LIME) |
| Desired skills | LangGraph / CrewAI / AutoGen / LangChain / LlamaIndex
- Python (async) FastAPI MLflow PyTorch / Scikit-learn
- LLM fine-tuning (LoRA PEFT embeddings prompt tuning)
- Vector DBs: FAISS Pinecone Chroma
- AWS: Bedrock SageMaker Step Functions ECR
- Statistical ML feature engineering XAI (SHAP/LIME) |
| Work Location | Bangalore / Pune/All Locations |
| Mode of Interview- Telephonic/Face to Face/Video Interview | F2F and Video Interview |
| WFO / WFH / Hybrid | Hybrid |
| Shift Details (Time) | 9 am to 6pm |
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Posted on:
7 hours ago
Vacancies:
1 Vacancy
