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Job Title : AI Engineer
Experience: 5+Years (Mandatory)
Notice Period: Immediate to 30 Days
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: 151297907
Skills:
AI ML, Python, Machine Learning, Gen AI, Langgraph
Skills:
Node.js, Git, Docker, Linux, FastAPI, Rest Apis, Python, AWS, embeddings, agent orchestration frameworks, vector databases, vLLM, prompt engineering, open-source generative media models, ComfyUI, LLM APIs, Replicate, RAG, Cog
Skills:
Machine Learning, Tensorflow, Data Science, Nlp, Pytorch, Databricks, Python, AWS, Generative AI, Model Lifecycle Management, Vector Databases, GitHub Actions, Agentic AI, Embeddings, RAG Architecture, Transformers, Responsible AI, Monitoring
Skills:
production readiness , Python, scalable system design, data pipelines, GenAI LLM application development, deployment observability, model pipelines, APIs and backend services, ML LLM framework, ML training and evaluation workflows
Skills:
Git, Gcp, Azure, Python, AWS, LangChain, RAG systems, DevOps practices, Qdrant, vector databases, REST API design, Pinecone, LLM APIs, Chroma, FAISS, CI CD pipelines, Weaviate, LlamaIndex
