Job Description

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Role:AI Engineer​

Location: Hyderabad
Experience:6-8 Years

Work Mode: Hybrid

Type: Contract to Hire

Notice Period:Immediate Joiners

Requirements

Role
Summary

We
are looking for an experienced and hands-on AI Data Engineer to design,
develop, and operationalize secure, scalable, production-grade Generative AI,
agentic AI, and cloud data solutions.

The successful candidate will combine strong AI engineering
capabilities—including large language models, prompt engineering,
retrieval-augmented generation, vector search, AI agents, and LLMOps—with a
solid foundation in Python, advanced SQL, databases, and cloud-based data
engineering.

The candidate should be also be able to work in establishing data pipelines and
engineering—from data ingestion and preparation, to data modeling, deployment
and monitoring.

AI
& Data Engineer

· Design,
build, and operate secure, scalable, production-grade Generative AI, agentic
AI, and cloud data solutions for analytics and reporting.

· Develop
LLM applications for analytics and reporting using prompt engineering,
retrieval-augmented generation (RAG), embeddings, vector search, structured




outputs, tool calling, function calling, fine-tuning, and model routing.

· Build
AI agents that retrieve enterprise data, use approved tools and APIs,
coordinate multi-step workflows, and operate within defined guardrails and
human oversight.

· Integrate
foundation models, AI agents, enterprise data platforms, APIs, workflow
orchestration tools, document repositories, and reporting applications.

· Develop
AI capabilities such as natural-language querying, conversational analytics,
automated summaries, intelligent recommendations, anomaly detection, narrative
reporting, and workflow automation.

· Design,
develop, and maintain robust ETL/ELT pipelines for structured and unstructured
data across data lakes, warehouses, and lake houses.

· Design
serverless, event-driven, and cost-efficient cloud architectures using a
primary cloud platform such as AWS, Azure, or GCP.

· Develop
data models, data-quality frameworks, validation rules, metadata, lineage, and
reusable data products.

· Build
production-grade services using Python, SQL, APIs, CI/CD, automated testing,
infrastructure as code, and observability practices.

· Apply
responsible AI practices, including data privacy, security, access control,
content safety, prompt-injection protection, and prevention of sensitive-data
leakage.

· Deploy
AI solutions using services such as Amazon Bedrock, Amazon SageMaker, Azure
OpenAI, Azure AI Foundry, Google Vertex AI, OpenAI APIs, vector databases, and
enterprise search platforms.





· Develop
and orchestrate data workflows using AWS Glue, Glue Workflows, AWS Lambda, Step
Functions, Amazon S3, Athena, Redshift, and Amazon RDS.

· Partner
with data, technology, and business stakeholders to translate requirements into
data models, AI features, visualizations, and actionable insights.

Mandatory
Technical Skills

AI and Generative AI

· Robust
understanding of Generative AI and large language model concepts.

· Hands-on
experience developing LLM-based applications.

· Practical
experience with:

o Prompt
engineering and prompt templates

o Retrieval-augmented
generation

o Embeddings
and semantic search

o Vector
search and vector databases

o Document
ingestion and chunking

o Structured
LLM outputs

o Context
and conversation management

o AI-agent
development

o Multi-step
agentic workflows

o Model
evaluation and response validation

Programming

· Strong
hands-on programming experience in Python.

· Good
understanding of object-oriented programming, data structures, exception
handling, logging, API integration, and asynchronous processing.

· Experience
with relevant Python libraries and frameworks, such as:

o Pandas

o PySpark

o Boto3

o FastAPI
or Flask

o LangChain

o LangGraph

o LlamaIndex

SQL, Databases and Data Engineering

· Strong
proficiency in writing and optimizing advanced SQL queries.

· Hands-on
experience with complex joins and subqueries, Window and analytical functions
and stored procedures

Preferred Technical Skills

· Exposure to business intelligence and reporting
tools, particularly Microsoft Power BI or Tableau

Benefits

Visit us at http://alignity.io/careers. Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.

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📌 AI Engineer (Hyderabad)
🏢 Important Group
📍 Hyderabad