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AS
Alignity Solutions

AI Engineer

Shaikpet, India
6+ years exp
Contract
Posted 5d ago
1 views
Actively Hiring Urgent Opening Direct 1-Click Apply

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Job Description

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 you.

Learn how we are redefining the meaning of work, and be a part of the team raved by Clients, Job-seekers and Employees.

Jobseeker Video Testimonials

Employee Glassdoor Reviews

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.

Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive

Talent Solution.

  • 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

· 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 . Alignity Solutions is an Equal Opportunity Employer, M/F/V/D

  • CEO Message: Click Here

Clients Testimonial: Click Here

Key Requirements & Skills

  • 6-8 years of experience
  • Strong understanding of Generative AI and large language model concepts
  • Hands-on experience developing LLM-based applications
  • Practical experience with prompt engineering and prompt templates
  • Practical experience with retrieval-augmented generation (RAG)
  • Practical experience with embeddings and semantic search
  • Practical experience with vector search and vector databases
  • Practical experience with document ingestion and chunking
  • Practical experience with structured LLM outputs
  • Practical experience with context and conversation management
  • Practical experience with AI-agent development
  • Practical experience with multi-step agentic workflows
  • Practical experience with model evaluation and response validation
  • Strong hands-on programming experience in Python
  • Good understanding of OOP, data structures, exception handling, logging, API integration, and asynchronous processing
  • Experience with Python libraries/frameworks such as Pandas, PySpark, Boto3
  • Experience with FastAPI or Flask
  • Experience with LangChain
  • Experience with LangGraph
  • Experience with LlamaIndex
  • Strong proficiency in writing and optimizing advanced SQL (complex joins, subqueries, window/analytical functions, stored procedures)
  • Exposure to BI/reporting tools, particularly Microsoft Power BI or Tableau

Frequently Asked Questions

How to apply for AI Engineer at Alignity Solutions?

Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.

What is the salary for this role?

Salary details will be discussed during the interview.

What experience is required?

6+ years of experience is required.

Is this position still open?

Yes, currently active and accepting applications.

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AS

Alignity Solutions

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AI Engineer

Alignity Solutions · Shaikpet

Apply on Company Website