AI Engineer

About the Role

As a selected AI Associate at Blackcoffer, you will engage in data science, AI, ML, LLM projects, and analytics for global clients. Your responsibilities include developing and implementing data models using deep learning, NLP, GenAI (LangChain), and GPT-based solutions.

Tech Stack & Responsibilities

• Data Engineering: Manage pipelines, ETL/ELT processes, and warehousing with Python libraries.
• Visualization: Create dashboards using Power BI, Kibana, Grafana, and Looker Studio.
• Databases: Work with MongoDB, Elasticsearch, Neo4j, Supabase, Bigquery, VectorDB, SQL, PostgreSQL, Snowflake, and S3.
• Cloud & DevOps: Leverage GCP, AWS, Azure, Linode, Heroku, and CI/CD pipelines (TypeScript).

Applied AI Expertise

You will gain hands-on experience with Large Language Models (APIs, prompt engineering), Retrieval-Augmented Generation (RAG), vector databases, agent orchestration, and evaluation suites.

N/A - Business Impact

The role requires high ownership to take projects from prototype to production. You must communicate complex trade-offs clearly to non-technical stakeholders and solve messy business problems effectively. This is a 6-month probationary period leading to full-time employment based on performance, offering immediate start dates.