Generative AI Engineer

Job Description
Job Title: Senior AI / GenAI Engineer (Advanced RAG & Agentic AI)
Experience: 5+ Years
Location: Chennai
Role Overview
We are seeking a highly skilled Senior AI / GenAI Engineer to design, develop, and deploy enterprise-scale Generative AI solutions. The ideal candidate should possess strong hands-on experience in Advanced Retrieval-Augmented Generation (RAG) architectures, Agentic AI systems, LLM orchestration frameworks, and production-grade AI applications. The role requires expertise in translating business requirements into scalable AI solutions and driving end-to-end implementation from experimentation to production.
Knowledge of Snowflake and related cloud data platforms is desirable but not mandatory.
Mandatory Skills :
Generative AI & LLMs
Strong hands-on experience with Large Language Models (LLMs) and Generative AI application development.
Experience with prompt engineering, prompt optimization, and evaluation frameworks.
Expertise in LLM benchmarking, accuracy evaluation, hallucination assessment, and model performance monitoring.
Experience working with OpenAI, Azure OpenAI, Anthropic, Llama, Mistral, or similar foundation models.
Advanced RAG (Mandatory)
Extensive experience designing and implementing Advanced RAG architectures.
Hands-on expertise in:
Hybrid Search (Vector + Keyword Search)
Semantic Search
Metadata Filtering
Parent-Child Retrieval
Multi-Vector Retrieval
Context Compression
Re-ranking Techniques
Query Expansion and Query Transformation
Knowledge Graph-based Retrieval
Adaptive / Agentic RAG
Multi-hop Retrieval
Citation and Grounded Response Generation
Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Azure AI Search, or similar platforms.
Experience evaluating retrieval quality using Precision@K, Recall@K, MRR, NDCG, and related metrics.
Machine Learning & NLP
Strong understanding of Machine Learning and Natural Language Processing concepts.
Experience in model development, feature engineering, model evaluation, and production deployment.
Familiarity with classification, forecasting, prediction, and optimization use cases.
Programming & Development
Strong proficiency in Python.
Experience with REST APIs and microservice-based architectures.
Experience working with SQL databases and data processing pipelines.
Familiarity with Git, CI/CD, testing frameworks, and MLOps practices.
Preferred Skills :
Snowflake (Optional)
Experience with Snowflake architecture and data warehousing concepts.
Exposure to Snowflake Cortex, AI functions, and cost optimization.
Understanding of data processing pipelines, warehouse sizing, and performance tuning.
Cloud Platforms
AWS(Preferred)
GCP
Key Responsibilities
Design and develop enterprise GenAI solutions leveraging advanced RAG techniques.
Build scalable AI applications and AI agents for business use cases.
Develop and optimize retrieval pipelines for accuracy, latency, and cost.
Conduct prompt engineering, evaluation, and model performance testing.
Collaborate with business stakeholders to understand requirements and translate them into AI solutions.
Implement monitoring and governance controls for AI applications.
Support production deployments and ongoing model improvements.
Mentor junior engineers and contribute to AI best practices.
Educational Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
Nice-to-Have Experience
Text-to-SQL applications.
Enterprise document intelligence solutions.
AI governance and model risk management practices.
LLM observability tools such as LangSmith, TruLens, Arize Phoenix, or similar.
Knowledge of financial services, insurance, or enterprise operations domains.
Share your updated CV on Shyam.sharma@truelancer.com

Work arrangement
No