Responsibilities

We are looking for a highly skilled Data & AI Engineer with 5–6 years of experience in building scalable data platforms and AI‑driven solutions. This role requires hands‑on expertise in up-to-date data engineering, LLM‑based systems, agentic AI, RAG pipelines, and MCP/LangGraph‑based orchestration.

The ideal candidate is someone who can design end‑to‑end data and AI systems—from ingestion to analytics to intelligent automation—while working closely with business, engineering, and product teams.

AI & Agentic Automation

- Build agentic AI workflows using MCP, LangChain, LangGraph, and multi‑agent orchestration frameworks
- Develop RAG pipelines using vector databases, embeddings, chunking strategies, and retrieval optimization
- Implement LLM‑powered automation for ingestion, classification, summarization, and decision support
- Deploy and monitor LLM applications using Azure OpenAI, AWS Bedrock, or GCP Vertex AI

Data Engineering & Architecture

- Design and implement ETL/ELT pipelines for structured, semi‑structured, and unstructured data
- Build scalable data platforms using Azure Data Factory, AWS Glue, Databricks, or Fabric Data Pipelines
- Develop and optimize data lakehouse architectures (Delta Lake, Iceberg, or Fabric Lakehouse)
- Implement data warehouse solutions using Snowflake, Azure Synapse, or BigQuery

Analytics & BI

- Build dashboards and semantic models using Power BI / Fabric
- Implement data quality, lineage, and governance frameworks
- Work with business teams to translate requirements into analytical models

ML Engineering

- Develop and deploy ML models for forecasting, classification,



clustering, and anomaly detection
- Implement MLOps/LLMOps pipelines for model deployment, monitoring, and retraining
- Work with NLP, embeddings, and vector search technologies

Cloud & DevOps

- Work with Azure / AWS / GCP for compute, storage, networking, and security
- Implement CI/CD pipelines for data and AI workloads
- Containerize workloads using Docker; Kubernetes experience is a plus

Requirements

Technical Skills Required

Programming

- Python (Pandas, NumPy, Scikit‑learn, FastAPI, LangChain/LangGraph)
- SQL (advanced queries, performance tuning, stored procedures)
- Experience with REST APIs, webhooks, and integration patterns

AI/ML & LLM Engineering

- Strong understanding of LLMs, embeddings, vector stores (FAISS, Pinecone, Chroma, Redis)
- Experience with RAG, prompt engineering, and LLM fine‑tuning
- Experience with agentic AI frameworks (MCP, LangGraph, LangChain Agents)
- Knowledge of NLP, document intelligence, or computer vision is a plus

Data Engineering

- Data lakes, lakehouses, and warehouse architectures
- ETL/ELT tools (ADF, Glue, Databricks, Fabric Pipelines)
- Streaming technologies (Kafka, EventHub) — optional

Cloud & DevOps

- Azure / AWS / GCP
- CI/CD (GitHub Actions, Azure DevOps, GitLab)
- Docker; Kubernetes (optional)

Soft Skills

- Strong analytical and problem‑solving mindset
- Ability to work with cross‑functional teams (business, product, engineering)
- Excellent communication and documentation skills
- Experience working in Agile/Scrum environments

Education

- Bachelor's or master's degree in computer science, Data Science, IT, or related field

📌 Senior Data & AI Engineer (Secunderabad)
🏢 Tekskills India Private
📍 Secunderabad