Greetings,
Please go through below job description and share some qualified local profiles.
Note: We are looking for local profiles only.
Job Title:
AI Developer
Location: Palo Alto, CA
Duration: Long Term
About the Role
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 our client 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.
What You'll Do
-
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.
What We're Looking For
-
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.
Regards,
Anurag Srivastava
VBeyond Corporation
https://www.linkedin.com/in/anuragsrivastava90/
E: anur...@vbeyond.com | www.vbeyond.com
390 Amwell Road, Suite # 107, Hillsborough, NJ 08844

Note – VBeyond is fully committed to Diversity and Equal Employment Opportunity.
Disclaimer:
We respect your Online Privacy. This is not an unsolicited mail. Under Bill S 1618 Title III passed by the 105th US Congress this mail cannot be considered Spam as long as we include Contact information and a method to be removed from our mailing list. If
you are not interested in receiving our e-mails then please reply to anur...@vbeyond.com subject=Remove. Also mention all the e-mail addresses to be removed which might be diverting the e-mails to you. We are sorry
for the inconvenience.