AI Engineer
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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: 152042307
Skills:
Python, risk assessment methodologies related to AI systems, regulatory requirements and compliance standards in AI, Responsible AI, ethical AI frameworks and guidelines
Skills:
Java, Data Structures, Kafka, Redis, Deep Learning, Algorithms, Gcp, MLops, Pytorch, Postgres, Python, AWS, Go
Skills:
ROS, data-quality instincts, SLAM, RAG at scale, HITL systems, inference optimization, multi-agent architectures, large-scale pipeline experience, LLM orchestration, LLM agentic systems
Skills:
Power Automate, Azure Functions, Rest Apis, Azure Storage, Azure Relay, embeddings, vector search, AI orchestration frameworks, Microsoft Teams, LLMs, Log Analytics, Generative AI technologies
Skills:
REST, Java, Typescript, Kafka, AWS, Python, Kubernetes, Gcp, Javascript, RAG pipelines, Open-source LLMs, Go, Schema validation, GRPC, Structured data handling
