Senior AI Engineer
Senior AI Engineer
apwtech2-4 Years
- Posted a day ago
- Be among the first 10 applicants
Job Description
Qualifications
- Bachelor's Degree in Computer Science, Mathematics, Applied Physics, Data Science, or a related field
- 2 to 4 years in data engineering, platform engineering, MLOps, or operations-focused technical role.
- Hands-on experience building automation solutions or data pipelines in a production environment.
- Exposure to AI/ML tooling, agentic frameworks, or LLM-based applications is a strong plus.
- Comfortable working in ambiguous environments, able to identify problems and propose solutions independently.
Plus Points
- Proficient in Python, Pandas, Polars, and Apache Spark.
- Hands-on experience with LangChain, LangGraph, RAG pipelines, and prompt engineering.
- Familiar with PostgreSQL, Apache Iceberg
- Understand end-to-end AI architecture - RAG, agentic systems, multi-model workflows, APIs, and production deployment.
- Knowledgeable in ethical AI, bias mitigation, transparency, AI governance, and enterprise regulatory considerations.
- Strong grasp of data modeling, feature stores, dimensional modeling, and dataset structure for ML pipelines.
Location: Manila or Cebu
Setup: Onsite
Schedule: Dayshift
More Info
Key Skills
LangChain
feature stores
Apache Iceberg
Polars
dataset structure for ML pipelines
multi-model workflows
AI architecture
prompt engineering
LangGraph
RAG agentic systems
RAG pipelines
ethical AI
bias mitigation
AI governance
enterprise regulatory considerations
About Company
Skills:
Data Science, Machine Learning, Kafka, Tensorflow, Pytorch, Python, AWS, Java, Natural Language Processing, Scala, React, Gcp, Spark, Azure, Computer Vision, CLAM, LangGraph, AI ML frameworks, LangChain, Generative AI, LLMs, Cloud platforms, Agent orchestration frameworks, Agentic AI, MCP, Data engineering tools
Skills:
Tensorflow, MLops, Pytorch, Databricks, Python, Sql, Azure ML, Git, Azure Data Factory, scikit-learn, Hugging Face, MLflow, Azure OpenAI
Skills:
Software Architecture, Typescript, Apis, Python, Cloud Technologies, AI agent frameworks
Skills:
S3, Microservices, React, Lambda, Terraform, Python, AWS, Api Gateway, RDS, Dynamodb, Node.js, Redis, MLops, Iam, MongoDB, Rest Apis, AWS CDK, AWS Bedrock, RAGAS, Pinecone, asynchronous processing, LangGraph, Chroma, Next.js, Langfuse, Evidently, LangChain, LLMOps, event-driven architectures, FAISS, Weaviate, LlamaIndex
Skills:
Rust, C, Python, QLoRA, RLAIF, INT4, LLaMA, DPO, INT8, GRPO, FP8, ppo, Qwen, Mistral, FAISS, LoRA, Milvus, Constitutional AI