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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: 147313323
Skills:
data engineering , Deep Learning, Tensorflow, Nlp, Gcp, Pytorch, Computer Vision, Docker, Opencv, Azure, Kubernetes, Python, AWS, CI CD integration, pipeline automation, MLOps practices, model monitoring tools
Skills:
pruning , Tensorflow, Pytorch, Keras, Python, INT8, TensorRT, Quantization, FP32, TVM, ONNX, FP16, Knowledge Distillation, OpenVINO, Embedded Systems
Skills:
Databases, Apis, Python, LangChain, Generative AI, tool function calling, LLMs, prompt chaining, agent frameworks, prompt engineering, LangGraph, Agentic AI, structured agent workflows
Skills:
Rest Apis, Python, Microservices, Embeddings, AWS Bedrock, LLMs, Cloud Native Design Patterns, Prompt Engineering, RAG Patterns
Skills:
Docker, FastAPI, Python, SQL and NoSQL databases
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