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# Tech Lead - Software Engineer

- **Company:** Yantran Llc
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Proxy Servers, Software Applications, Cloud Computing, Computer Programming, DevOps, Distributed Systems, Domain Name System (DNS), Hypertext Transfer Protocols (HTTP), Information Retrieval, PostgreSQL, MongoDB, Open Source Technology, OpenStack, Performance Tuning, OpenAI, Search Technologies, Software Deployment, Software Engineering, Systems Integration, TCP/IP, Transport Layer Security, Load Balancing, Cloud Platform System, Computer Network Technologies, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Concurrency, Prompt Engineering, IT Architecture, Software Security, Software Application Programming, Generative AI, Backend, Agentic-AI, Containerization, AI Platforms, Weaviate, Web Technologies, Claude, Google Gemini, Api Gateway, Restful APIs, Grpc, Docker, Golang, Programming Languages, Microservices
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/tech-lead-software-engineer-san-jose-ca--52389065-1041-45bb-b4c1-098be2cc8cc9

## About the Role

Software Engineering, Technical Leadership, Artificial Intelligence (AI), Go Programming Language (Golang), Cloud Computing, Application Programming Interface (API), REST (Representational State Transfer), Microservices, Identify Issues, Error Handling, Strong hands on programming experience with
Golang (Go) .
Strong knowledge of
Agentic AI, Generative AI, LLMs, prompt engineering, and AI application architecture .
Experience building applications using
OpenAI, Gemini, Claude, or open source LLMs .
Hands on experience with
RAG, embeddings, vector search, and vector databases , preferably Weaviate.
Strong experience with
REST APIs, gRPC, microservices, concurrency, and distributed systems .
Experience with
PostgreSQL and MongoDB .
Full stack development exposure with
JavaScript .
Experience with
Docker and OpenStack .
Solid networking knowledge including
TCP/IP, DNS, HTTP/HTTPS, load balancing, proxies, API gateways, TLS, and service to service communication .
Understanding of AI application security, scalability, performance optimization, and production deployment.

## Description

Golang (Go) ,
Agentic AI ,
Generative AI , and
AI architecture . The role involves designing scalable backend services, building AI powered applications, integrating LLMs, implementing RAG and agentic workflows, and developing cloud native AI platforms.
Key Responsibilities
Design and develop
scalable, high performance APIs and backend services using Golang (Go) .
Build
Agentic AI and Generative AI applications
using LLMs such as OpenAI, Gemini, Claude, and open source models.
Design AI architectures for
LLM powered applications, autonomous agents, tool calling, and multi agent workflows .
Develop and maintain
REST and gRPC APIs
and microservices for AI platforms.
Design and implement
RAG architectures , including document ingestion, chunking, embeddings, retrieval, reranking, and LLM response generation.
Work with vector databases such as
Weaviate
for semantic search and knowledge retrieval.
Develop full stack AI applications using
Golang, JavaScript, and modern web technologies .
Integrate AI services with
PostgreSQL, MongoDB, and vector databases .
Containerize and deploy applications using
Docker
and support cloud native environments such as
OpenStack .
Design secure and reliable communication between distributed microservices and AI components.
Troubleshoot performance, scalability, API, infrastructure, and
networking related issues .
Implement observability, error handling, authentication, authorization, and production grade API practices.
Collaborate with AI architects, product teams, DevOps, and engineering teams to deliver end to end AI solutions.