Blend360
AI services
SeniorAIEngineer
“Senior AI Engineer at Blend360. Skills: AI, MLOps, RAG, Python. Design, develop, and deploy AI solutions. Implement RAG and fine-tuning techniques”
What You'll Achieve.
co-creating meaningful impact for its clients; fuel bold visions; tackles significant challenges; unlocking value; creating more fulfilling work and projects
Industry & Context.
problem-solving skills
What They're Looking For.
Must Have
4+ years of experience in building and deploying AI/ML or GenAI solutions in production environments, experience with at least one major cloud platform (Azure, AWS, or GCP) for building and deploying AI/ML solutions, Proficiency in Python and major ML frameworks (PyTorch, TensorFlow, Scikit-learn), Hands-on experience with RAG architecture, prompt engineering, and LLM-based application development, Experience with MLOps/LLMOps pipelines, model tracking, observability, and CI/CD using tools such as Azure DevOps, Jenkins, GitHub Actions, GitLab CI/CD, MLflow, or equivalent platforms, Familiarity with enterprise data integration and orchestration tools such as Azure Data Factory, Synapse, Databricks, Airflow, Kafka, or equivalent distributed data platforms, backend engineering and API development experience using FastAPI, Flask, Node. js, or similar frameworks, with ability to build scalable AI-powered services and microservices
Nice to Have
Experience with services such as Azure ML, AWS Bedrock/SageMaker, GCP Vertex AI, Databricks, or equivalent AI/ML platforms, Experience building production-grade RAG systems using vector databases such as Pinecone, FAISS, ChromaDB, pgvector, Milvus, or Azure AI Search, Experience with agentic AI frameworks such as LangGraph, CrewAI, AutoGen, MCP, or Google ADK, Familiarity with AI observability and evaluation tools such as LangSmith, Langfuse, RAGAS, MLflow, App Insights, or Prometheus/Grafana, Experience deploying AI systems using Docker, Kubernetes, serverless architectures, or container orchestration platforms
What You'll Do.
and deploy AI solutions
Implement RAG and fine-tuning techniques
Utilize and integrate AI frameworks
Use advanced prompt engineering techniques
Build and manage agentic frameworks
Apply MLOps best practices
Monitor and trace AI applications performance
Work on end-to-end software engineering
How You'll Work.
Team & Collaboration
Collaborate across teams to ensure alignment with traditional ML and AI methodologies; collaboration skills
Applying for this Senior AI Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about Blend360?
Real rants from real employees. Read before you apply.