AI Engineer

Job Description

Do you love a career where you Experience, Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you.

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If you are a AI Engineer looking for excitement, challenge and stability in your work, then you would be glad to come across this page.

We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long-term project. Here are a few details.

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Role:AI Engineer
Location: Hyderabad
Experience:6-8 YearsWork 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

·       Strong 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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