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We're Hiring: AI Engineer
Objectways Technologies is looking for an AI Engineer to join our Enterprise Data & AI Platform team and help build production-grade AI applications.
About the Role
You'll develop Python backend services that power LLM-based applications, including RAG systems and agentic workflows. You'll work closely with data engineers, ML engineers, and product teams to bring AI features from prototype to production.
What You'll Do
- Build and maintain Python backend services for AI applications
- Implement RAG pipelines using vector databases and embedding models
- Integrate LLMs (OpenAI, Anthropic, open-source models) into production workflows
- Design and develop agentic workflows for multi-step reasoning tasks
- Optimize retrieval quality, latency, and cost across AI systems
What We're Looking For
- 5 years of backend development experience, with strong Python skills
- Working knowledge of RAG architectures and retrieval pipelines
- Hands-on experience with vector databases (Pinecone, Weaviate, Qdrant, pgvector, or similar)
- Solid understanding of LLM integration fundamentals (prompting, embeddings, function calling)
- Familiarity with agentic workflows and frameworks like LangChain, LlamaIndex, or LangGraph
- Experience building and deploying REST/gRPC APIs
Nice to Have
- Experience with model fine-tuning or evaluation pipelines
- Familiarity with cloud platforms (GCP, AWS, or Azure)
- Background in MLOps or LLMOps tooling
Job ID: 147307513
Skills:
Microservices, Tensorflow, Pytorch, Python, Apis, Functions, Azure ML, MLops, Azure, Qdrant, vector databases, Pinecone, CI CD, NLP pipelines, LLM-powered applications, Hugging Face models, LangChain, traditional ML techniques, Azure OpenAI GPT-based APIs, Cognitive Services, AKS, Semantic Kernel, FAISS, Milvus, Weaviate, LlamaIndex
Skills:
Git, Docker, Kubernetes, Testing, LangChain, Prompt engineering, RAG systems, Vector databases, Development frameworks and tools, Advanced Python programming, LLM optimization techniques, Embedding models
Skills:
Java 8, Git, Rest Apis, LangChain, Pinecone, GenAI concepts, LangGraph, Vector Databases, RAG Retrieval-Augmented Generation, Microservices Architecture, FAISS, CI CD pipelines, LLM integrations, Weaviate
Skills:
Api Integration, Python, LangChain, CrewAI, ethical AI principles, LLMs, reasoning algorithms, Planning Systems, reinforcement learning, prompt engineering, AutoGen, tool augmentation, fine-tuning techniques, safety mechanisms, agentic frameworks, AI ML frameworks
Skills:
Data Science, Python, LangGraph, Statistical Modeling, Agentic Workflows using LangChain-based agents, Transformer architecture, Fine-tuning techniques for LLMs
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