Lead AI Engineer – GCP, GenAI
DKSH Portugal, Unipessoal, Lda.
full-time
Posted on:
Location Type: Remote
Location: India
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Job Level
About the role
- Design, build, and operate LLM-powered systems using Gemini and Vertex AI
- Implement RAG architectures at scale, including ingestion, retrieval, and generation
- Build and orchestrate LLM agents using LangChain or similar frameworks
- Integrate AI capabilities via API-driven architectures
- Debug and optimize end-to-end LLM pipelines: Chunking strategies, Embeddings, Retrieval logic, LLM response behavior
- Deliver production-ready AI services, including: Monitoring and observability, Rate limiting and cost controls, Reliability and fallback strategies
- Contribute to solution design and technical decision-making
- Continuously evaluate and experiment with new LLM models and platform features
- Implement AI safety, security, and compliance controls
- Collaborate with cross-functional teams across time zones
Requirements
- Strong hands-on experience with Google Cloud Platform (GCP) in production
- Experience with services such as Cloud Run, GKE, Storage, Pub/Sub, BigQuery, IAM
- Proven ability to design and operate production workloads on GCP
- Experience integrating Vertex AI services is a strong plus
- Hands-on experience delivering GenAI solutions in production
- Experience integrating LLM platforms (Gemini, OpenAI, Anthropic, Bedrock, etc.)
- Strong experience with LangChain or similar LLM orchestration frameworks
- Solid understanding of: Prompt engineering, Agent orchestration, LLM pipeline debugging, RAG & Vector Search
- Hands-on experience building RAG systems
- Experience with vector databases such as Pinecone, FAISS, Chroma, or similar
- Strong understanding of vector similarity search fundamentals
- Practical knowledge of RAG evaluation metrics, such as: Precision@K, Recall@K, MRR, nDCG, Faithfulness and Answer Relevance
- Strong programming skills in Python (PySpark or Java is a plus)
- Experience building scalable, API-based services
- Solid understanding of: API performance tuning, Rate limiting, Reliability patterns
- Hands-on experience implementing AI guardrails, including: Input validation, PII detection and redaction, Hallucination and reliability checks
- Understanding of cloud security best practices: IAM, Data isolation, Audit logging
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
LLM-powered systemsRAG architecturesLangChainAPI-driven architecturesLLM pipeline debuggingPrompt engineeringVector databasesPythonAPI performance tuningAI guardrails
Soft Skills
collaborationtechnical decision-makingproblem-solvingcross-functional teamwork