Role Description
Job Title: AI Engineer
Experience Level: 5- 9 Years
Work Location: Bangalore, Hyderabad, Chennai, Trivandrum, Kochi, Noida, Pune,Gurgaon
We are seeking an innovative and results-driven AI Engineer to design, develop, test, and deploy AI-powered solutions that deliver business value through automation, advanced analytics, and intelligent applications.
The ideal candidate will collaborate with cross-functional teams to build scalable Machine Learning (ML) and Generative AI solutions that enhance operational efficiency, improve customer experiences, and accelerate digital transformation initiatives.
Key Responsibilities
- Design, develop, test, and deploy AI/ML and Generative AI solutions to solve complex business challenges.
- Build, maintain, and optimize data pipelines to support AI model training and inference.
- Develop and integrate Large Language Model (LLM) applications, AI agents, and Retrieval-Augmented Generation (RAG) solutions.
- Create scalable APIs and AI services for enterprise-grade applications.
- Test agentic AI solutions and validate outputs to ensure accuracy, reliability, and expected behavior.
- Collaborate with data engineers, software developers, product teams, and business stakeholders to translate requirements into AI-driven solutions.
- Evaluate, fine-tune, and monitor AI models for performance, accuracy, scalability, and reliability.
- Implement MLOps best practices for deployment, monitoring, testing, and lifecycle management of AI models.
- Ensure AI solutions comply with enterprise security, governance, privacy, and Responsible AI standards.
- Stay current with emerging AI technologies, frameworks, and industry trends, and recommend innovative approaches.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Strong programming skills in Python and SQL.
- Hands-on experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Llama, or similar platforms.
- Experience with prompt engineering techniques.
- Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).
- Experience developing and consuming REST APIs.
- Proficiency with Git and software development best practices.
- Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
- Experience with modern data platforms such as Snowflake and Databricks.
- Knowledge of vector databases, semantic search, and RAG architectures.
- Hands-on experience with AI orchestration frameworks such as:
- LangChain
- LangGraph
- Semantic Kernel
- Familiarity with:
- Docker
- Kubernetes
- CI/CD pipelines
- Experience developing AI-powered dashboards and applications using Streamlit.
Preferred Technical Skills
Programming & Data
- Python
- SQL
Artificial Intelligence & Machine Learning
- Machine Learning
- Deep Learning
- Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
AI Architecture
- Retrieval-Augmented Generation (RAG)
- Vector Databases
- Semantic Search
- Agentic AI Development
- Agentic AI Testing and Output Validation
Cloud & Data Platforms
- Microsoft Azure
- Snowflake
- Databricks
Software Engineering
- REST APIs
- Microservices
- Git
- Docker
- Kubernetes
- CI/CD
Visualization & Analytics
- Streamlit
- Power BI
- Tableau
Success Measures
The Successful Candidate Will
- Deliver scalable AI solutions that improve business outcomes.
- Automate manual processes through AI-driven workflows.
- Improve model accuracy, performance, and reliability.
- Successfully test agentic workflows and validate outputs against expected results.
- Partner effectively with stakeholders to translate business needs into AI capabilities.
- Continuously evaluate and adopt emerging AI technologies to drive innovation.
Skills
Agentic AI, Databricks, Machine Learning, LLMs, LangChain, Generative AI, Snowflake, RAG, Python