Posted 05 June, 2026
AI Developer
VARITE INDIA PRIVATE LIMITED
Bangalore, Karnataka, IN
Full Time
Reference: 26-32272-2522-2
Company Name: VARITE India Private Limited
About The Client:
A data management and cloud services company headquartered in the United States specializes in simplifying backup, recovery, and data protection processes. The firm offers a cloud-based platform integrating backup, instant recovery, archival, search, and analytics functions. Known for its innovative data management approach, the company caters to organizations seeking efficient and scalable solutions.
About The Job:
About The Client:
A data management and cloud services company headquartered in the United States specializes in simplifying backup, recovery, and data protection processes. The firm offers a cloud-based platform integrating backup, instant recovery, archival, search, and analytics functions. Known for its innovative data management approach, the company caters to organizations seeking efficient and scalable solutions.
About The Job:
- The Enterprise AI team is ***'s internal AI enablement engine. We evaluate where AI can make a real difference, build the platforms and patterns that make adoption easy, and help engineering teams across the organization work smarter and faster. We operate at the intersection of applied AI, distributed systems, and enterprise operations our job is to make *** more efficient, one AI-powered workflow at a time.
- This is a high-impact, high-autonomy team where you'll work closely with engineering, product, and operations teams across *** to bring AI capabilities to life.
- As an Applied AI Developer on the Enterprise AI team, you'll evaluate where AI fits, build the tools and platforms that make it practical, and enable teams across *** to adopt modern AI development patterns including LLM orchestration, agentic workflows, and model governance.
- You stay hands-on and outcomes-oriented: prototyping, evaluating emerging AI technologies, and shipping solutions that make the organization measurably more efficient.
- Think AI-first assess where agentic approaches genuinely outperform conventional solutions, then own the quality bar: build automated evals, simulation tests, and regression frameworks that keep our AI systems reliable and improving as they scale.
- Design agentic systems tool orchestration, agent reasoning, memory, MCP integrations, and human-in-the-loop workflows.
- Define and implement AI governance patterns guardrails, data lineage, auditability, and responsible AI practices that ensure our agentic systems are safe, compliant, and trustworthy.
- Drive adoption through pilots, proofs-of-concept, and scalable implementations across engineering teams.
- Collaborate with various business functions, product, security, and platform teams to translate AI use cases into production-grade, end-to-end solutions.
- 5+ years of professional software engineering, with at least 2 years focused on applied AI in production systems.
- Proficient in Python and/or Go; comfortable reading and writing in the other.
- Proven experience building and scaling multi-agent or agent-driven systems in production real-world operational ownership, not just simple LLM workflows.
- Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Google ADK, Mastra, Claude Agent SDK), observability and evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic).
- Strong systems and backend architecture fundamentals designing scalable, reliable systems and handling infrastructure, performance, failure modes, cost, and deployment concerns.
- Good understanding of cloud-native environments (GCP and/or AWS) compute, storage, networking, and managed AI services.
- Experience designing and integrating with enterprise APIs (REST, GraphQL) including authentication and authorization patterns (OAuth2, SAML, API keys, RBAC). Comfortable working with backend databases (SQL and NoSQL) writing queries, understanding data models, and building data access layers that enforce role-based access control.
- Strong cross-functional collaborator and communicator, able to partner with Product, Operations, and domain experts to deliver end-to-end systems with measurable real-world impact.
- A force-multiplier on the team you raise the bar for clarity of thinking, system design standards, and team execution.
Nice to Have
- Experience with AI evaluation tooling (Langfuse, LangSmith, Braintrust, or custom eval frameworks).
- Experience building custom MCP servers, not just consuming them.
- Familiarity with containerization and orchestration (Docker, Kubernetes).
- AI-native builder with high velocity and ownership intellectual curiosity, rapid adoption of new tools, bias to action, and the ability to drive ambiguous problems from concept to production.
- Hands-on experience with inference cost optimization managing spend as agent deployments scale.
- Experience using AI-powered coding agents (e.g., Claude Code, GitHub Copilot, Cursor, Windsurf) to accelerate development workflows rapid prototyping, code generation, debugging, and test writing.
- Experience with RAG (Retrieval-Augmented Generation) architectures and document retrieval pipelines vector databases, embedding models, chunking strategies, and hybrid search for building agents that answer questions grounded in enterprise documentation.
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:
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 Opportunity 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
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 Opportunity 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
