Ai Ml Engineer
- Source: Naukri
- Infoshare soft
- $10,549.58 to $21,099.16 /yr
- On-site
- Bengaluru
- Full-Time
- Mid level
Job Description
Hi All,
We Have an immediate job opening for one of our client let me know if anyone are interested.
Role : AIML Engineer
Position : Full Time
Experience Level : 6-12 Years
Work Locations : Only Hyderabad/Bangalore
Work Mode : all 5 days mandatory
Shift Timings : 2 PM to 11 PM
Notice Period : Required only immediate joiners.
Job description :
We are seeking an experienced AI Engineer with 5+ years of backend development experience to build scalable AI-powered enterprise applications. The ideal candidate will have hands-on expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, vector databases, and microservices architecture. You will design and develop AI orchestration services, intelligent APIs, semantic search systems, and enterprise AI workflows while collaborating with product, cloud, and cybersecurity teams.
Key Skills:
- Strong programming skills in Python, Go, or Java
- Experience with LLMs (OpenAI, Claude, Llama, Gemini, Mistral) and frameworks like LangChain, LlamaIndex, Semantic Kernel
- Hands-on expertise in RAG, Vector Databases (Pinecone, Qdrant, Weaviate, FAISS, Milvus), AI Agents, and Prompt Engineering
- Strong knowledge of FastAPI, Flask, Django, Spring Boot, GraphQL, Kafka, PostgreSQL, MongoDB, Redis
- Experience with AWS/Azure/GCP, Docker, Kubernetes, Terraform, CI/CD, and observability tools (Grafana, Prometheus, OpenTelemetry)
Preferred:
Experience in AI-native SaaS, cybersecurity, GRC, enterprise governance, AI copilots, and secure AI deployments. Strong understanding of responsible AI, AI security, and enterprise-scale backend architectures.
Thanks & Regards
Gowlikar Sreeraj
Lead Recruiter
9154128655
Skills
- mode
- Python
- Golang
- Java
- claude-by-anthropic
- meta-llama
- llama
- Gemini
- LangChain
- LlamaIndex
- qdrant
- FAISS
- Milvus
- FastAPI
- Flask
- Django
- spring
- spring-boot
- GraphQL
- Kafka
- PostgreSQL
- MongoDB
- Redis
- amazon-web-services
- microsoft-azure
- google-cloud-platform
- Docker
- Kubernetes
- Terraform
- Grafana
- Prometheus
- opentelemetry
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