Role: AI Engineer (Senior)
Year: 2026
Qualification: Bachelors
Experience (years): 5-10
Job description:
Pytho n as the primary language for data science and ML development (Pandas, NumPy, Scikit-learn
Familiarity with
SQ L for data querying and manipulation across modern data warehouses (e.g., BigQuery, Snowflake, PostgreSQL
(Nice to have) Working knowledge of deep learning frameworks such as
PyTorc h or
TensorFlo w for model experimentatio n
LLM & Generative AI Tooling
Hands-on experience working with
large language model API s, including providers such as OpenAI, Anthropic, or Google
Strong command of
prompt engineering technique s, including few-shot prompting, chain-of-thought reasoning, and structured output design
Experience with
open-source LLM s (e.g., Mistral, LLaMA) and an understanding of when to apply open vs. proprietary models
Agentic Orchestration & RAG
Practical experience building
RAG (Retrieval-Augmented Generation) pipeline s, including chunking strategies, embedding models, and retrieval tuning
Familiarity with
agentic orchestration framework s such as LangChain, LangGraph, LlamaIndex, CrewAI, or AutoGe
Experience integrating
vector database s (e.g., pgvector, Pinecone, Weaviate, ChromaDB) into search and retrieval workflow
Understanding of
tool/function callin g patterns for LLM-driven automation
Evaluation & Experimentatio
Ability to define and implement
"good enough" metric s and evaluation frameworks for POC validation
Experience with
LLM evaluation librarie s such as RAGAS, TruLens, or DeepEva
Familiarity with
experiment tracking tool s such as MLflow or Weights & Biases
Comfort with
cost and latency profilin g of LLM-based systems to inform feasibility decisions
Data & Infrastructure
Comfortable working within
cloud environment s (AWS, GCP, or Azure) for data access, compute, and API integration
Ability to integrate with
REST API s and third-party data sources during prototyping
Proficiency with standard development tools:
Gi t, Jupyter notebooks, VS Code 
Technical skills: Python, SQL, TensorFlow/PyTorch, ML, Pandas, NumPy, Scikit-Learn, LLMs, GenAI, APIs, OpenAI, RAG, LangChain, LangGraph, CrewAI, or AutoGen, VectorDB, Prompt Engineering, MLflow, Git, Github, AWS/Azure
Soft skills: Communication, Problem Solving, Analytical Skills