Company Name: VARITE India Private Limited

About The Client

Client is an Indian multinational technology company specializing in information technology services and consulting. Headquartered in Mumbai, it is a part of the Tata Group and operates in 150 locations across 46 countries. About The Job:

- The AI/ML Engineer is responsible for designing| building| deploying| and operating production-grade machine learning and AI systems at enterprise scale.
- This role bridges data science| software engineering| and platform engineering to ensure AI models and applications are reliable| secure| observable| and governed throughout their lifecycle.

Must-Have Requirements
- Proprietary LLM Integration: Hands-on experience integrating at least one proprietary large language model (e.g.| OpenAI ChatGPT| Anthropic Claude| or Google Gemini) directly within application code.
- Python: Solid coding experience in Python| including production-quality software development practices.
- LLM Orchestration Frameworks: Experience with at least one LLM application framework such as LangChain| LlamaIndex| or Haystack for building LLM-powered pipelines and applications.
- Agentic Orchestration: Experience with at least one agentic AI orchestration library such as LangGraph| AutoGen| or CrewAI for building multi-step| multi-agent workflows.
- Natural Language Processing (NLP): Strong foundational understanding of NLP concepts| techniques| and best practices.
- MLOps: Proven experience in machine learning operations| including model lifecycle management| CI/CD for ML| and production monitoring.

Essential Job Functions:

MLOps & AI Platform Engineering

- Design| build| and maintain end-to-end MLOps pipelines covering model development| training| validation| deployment| monitoring| retraining| and retirement.
- Develop and operate scalable AI/ML platforms across development| test| and production environments.
- Operationalise machine learning and LLM-based solutions with strong reliability| performance| and governance controls.
- Support batch and real-time inference workloads.





Software Engineering & Automation
- Develop production-quality services and automation using Python and modern software engineering practices.
- Build and manage CI/CD pipelines using Git-based workflows.
- Implement Infrastructure as Code (IaC) using Terraform| ARM| CloudFormation| or Bicep.

Containerisation & Cloud Deployment
- Deploy AI workloads using Docker and Kubernetes.
- Design cloud-native architectures on Azure| AWS| or GCP.
- Implement blue/green| canary| and progressive deployment strategies.

LLMs & Generative AI
- Implement LLM application patterns including prompt orchestration| Retrieval-Augmented Generation (RAG)| embeddings| and vector databases.
- Integrate with LLM platforms such as Azure OpenAI| OpenAI| Anthropic| or AWS Bedrock.
- Work with agentic AI frameworks and orchestration tools.

Monitoring| Observability & Operations
- Implement logging| metrics| tracing| and alerting for AI services.
- Monitor model performance| drift| latency| and availability.
- Provide on-call production support and incident resolution.

Security| Governance & Compliance
- Implement IAM| secrets management| encryption| and network security controls.

Qualifications:

Essential Skills

- The AI/ML Engineer is responsible for designing| building| deploying| and operating production-grade machine learning and AI systems at enterprise scale.
- This role bridges data science| software engineering| and platform engineering to ensure AI models and applications are reliable| secure| observable| and governed throughout their lifecycle.
- Proprietary LLM Integration:



Hands-on experience integrating at least one proprietary large language model (e.g.| OpenAI ChatGPT| Anthropic Claude| or Google Gemini) directly within application code.
- Python: Strong coding experience in Python| including production-quality software development practices.
- LLM Orchestration Frameworks: Experience with at least one LLM application framework such as LangChain| LlamaIndex| or Haystack for building LLM-powered pipelines and applications.
- Agentic Orchestration: Experience with at least one agentic AI orchestration library such as LangGraph| AutoGen| or CrewAI.

How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.

Unlock Rewards: Refer Candidates and Earn.

If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the preferred candidate completes a three-month assignment with VARITE.

Experience Level Bonus Referral:

0-2 years INR 5,000 2-6 years INR 7,500 6+ years INR 10,000

About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.

Equal Chance Employer:

VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.

📌 Developer (Bengaluru)
🏢 VARITE
📍 Bengaluru