06 Aug
|
SSD Shared Services
|
Hubballi
06 Aug
SSD Shared Services
Hubballi
MUST HAVE Mandatory Skills for each technology (All MUST)
5+ years professional experience as full stack Development which includes TypeScript (React & Node.js) and building LLM integrated or agentic AI features
3+ years of experience with Python & Typescript for AI scripting
Must have experience with FastAPI for service integration
Must have experience with RAG patterns and vector databases
Minimum Skills Required / Basic Qualifications
5+ years skilled full stack or backend experience, including React and Node.js/TypeScript.
2+ years building LLM integrated or agentic AI features (tool/function calling, orchestration, guardrails, or evaluations).
3+ years with Python or React/ExpressJS Typescript for AI scripting, data processing, or service integration (FastAPI/Flask/Django a plus).
Preferred Skills
Agent frameworks (LangChain, LlamaIndex); embeddings; vector databases (Pinecone, FAISS, Redis, Azure AI Search).
Kubernetes, API Management, GitOps, and advanced observability/telemetry.
Cloud certifications (Azure/AWS/GCP) and Agile/Scrum delivery experience.
Consulting background or experience delivering to regulated enterprises.
Job Duties included but not limited to
Design, implement, and maintain RESTful APIs
Integrate user facing experiences with server side logic; ensure resilient API contracts for web and mobile clients (e.g., React Native).
Implement robust testing (unit/integration/e2e), performance tuning, and production diagnostics.
Build agentic AI workflows using tools like GitHub Copilot and LLM platforms (e.g., Claude, Azure OpenAI, OpenAI API, etc.).
Implement tool/function calling, prompt/chain orchestration (e.g., LangChain/LlamaIndex), evaluation, safety guardrails, and prompt/version management.
Deliver RAG patterns using embeddings and vector databases (e.g., Pinecone, FAISS, Redis, Azure AI Search/OpenSearch) to ground models on enterprise data.
Design and deploy services on Azure (App Services, Functions, Storage, API Management; Azure DevOps/GitHub Actions pipelines).
Use containers and orchestration (Docker, Kubernetes) and IaC (Terraform/Bicep).
Implement observability (logs, metrics, tracing with OpenTelemetry), rate limiting, retries, circuit breakers, and cost/latency monitoring.
Participate in discovery workshops, align on requirements, and convert client needs into technical plans and release roadmaps.
Create clear documentation, demos, and walkthroughs; explain complex concepts to non-technical stakeholders.
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Full Stack AI Engineer (Hubballi)
🏢 SSD Shared Services
📍 Hubballi