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Key Requirements:
- Build & Configure GenAI-based solutions (chatbots, copilots, content generators).
- Integrate AI capabilities (NLP, CV, RAG, LLM APIs) into enterprise applications.
- Construct tool-using multi-agent systems using LangChain, AutoGen, or LangGraph.
- Fine-tune LLMs and configure prompt workflows tailored to business contexts.
- Implement inference pipelines for real-time predictions or decision automation.
- Develop feedback loops and self-improving logic (online learning, meta-learning).
- Enable tool orchestration, memory management, and long-context reasoning in agents.
- Collaborate with product and UI teams to bring AI features into user-facing apps.
Prerequisites
-Primary Programming : Strong Python
-Secondary Programming : Java , C++, NodeJs
-ML Concepts
-REST APIs , Integration – MQTT, Kafka
-Version Control
Must Have
- Deep Learning Frameworks (PyTorch, Tensorflow)
- Generative AI Development : ( LLM APIs, Prompt Engineering, RAG )
- Multi-Agent Frameworks (AutoGen, LangGrapha) & Protocols
- Tool Integration (Memory, APIs)
- Kubernetes/Docker for Deployment
- Cloud Platforms(IBM/AWS/GCP/Azure)
Job ID: 149084909
Skills:
Github, FastAPI, Python, LangChain, pgvector, AI-native development tools, retrieval-augmented generation, vector databases, Pinecone, Claude, prompt engineering, LangGraph, LLM APIs, OpenAI, Weaviate
Skills:
Java, Typescript, Gcp, Distributed Systems, Azure, Python, AWS, pgvector, Go, Copilot, Claude, Pinecone, Code Cursor, Llm, Gen AI, vector DBs, Weaviate, Windsurf
Skills:
Tensorflow, Pytorch, Containers, MLops, Orchestration, python, Software Engineering, Technical Documentation, Testing, Kubernetes, model registry, mentoring engineers, hugging face, model deployment, experiment tracking, stakeholder communication, cloud-native architectures, prompt optimization, model versioning, transformer-based architectures, model fine-tuning, ai platform engineering, ci/cd pipelines, embedding frameworks, code reviews, Production Support, vector databases, model evaluation, rag systems
Skills:
Predictive Modeling, System Design, Python, Data Structures, Statistics, Core Machine Learning, LLM AI Systems, Recommendation Systems
Skills:
S3, Dynamodb, Lambda, Api Gateway, FastAPI, Python, Flask, AWS cloud services, Hugging Face APIs, Step Functions, AgentCore, LangChain, AWS Bedrock, LangGraph
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