GenAI / R&D Engineer Requirement Summary

Below is the consolidated summary of what the client is expecting for the GenAI + R&D Engineer role (610 years experience):

1. Strong Hands-On Programming (Mandatory)

Must be hands-on in at least one core programming language: Python / Angular / React / Node.js.

Should be able to build backend APIs and integrate with databases.

2. GenAI Skills

Strong understanding of GenAI fundamentals: RAG, embeddings, model evaluation, hallucination control.

Prompt engineering experience (very important).

Experience using AI development tools like Cursor, GitHub Copilot.

Good to have: Experience with Claude / OpenAI / HuggingFace.

Ability to build custom GenAI agents and AI-driven applications.

3. Cloud & DevOps (Mandatory)

Strong hands-on experience with AWS (not just deployments).

Expected knowledge: S3, Lambda, Glue, EC2, IAM, networking basics.

Experience with containers and Kubernetes.

DevOps fundamentals: Git branching, CI/CD pipelines.

4. API & Database Skills

Mandatory understanding of:

REST API development

SQL / NoSQL databases

How APIs and DBs integrate with GenAI apps

5. Data Engineering Basics

Ability to handle unstructured data.

ETL experience is a plus (Glue etc.).

Knowledge of vector databases like Pinecone / Chroma is beneficial.

6. Additional Preferences

Exposure to European region projects (good to have).

Petro domain experience is an added advantage.

7. Expected Profile

610 years overall experience.

Individual Contributor role (no team dependencies).

Should be up-to-date with latest tech and able to independently build POCs.

Strong learning mindset and interest in emerging tech.

GenAI / R&D Engineer