Dtechex Technologies
AI FullStack Engineer
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Dehradun, Uttarakhand, India
Work mode:
Onsite
Published on:
14 September 2026
What they need
Job Summary
Were hiring senior AI Full Stack Engineers to join a high-velocity engagement team building enterprise-grade AI-powered products. You'll own delivery across the full stack - AI/LLM integration, backend services, cloud infrastructure, and UI - shipping at scale with real accountability for outcomes. Front-end proficiency is a strong plus. The near-term roadmap is UI-heavy, and engineers who can move fluidly across the stack - including building polished interfaces - will have the most impact.
Responsibilities
- Design, build, and ship full-stack features on AI-powered enterprise applications
- Integrate LLMs and AI tools into production workflows - RAG pipelines, agent orchestration, prompt engineering at scale
- Build and maintain backend services, APIs, and data pipelines
- Deploy and manage infrastructure on AWS (Lambda, ECS/EKS, API Gateway, S3, RDS, etc.)
- Contribute to UI delivery - building performant, well-structured interfaces using modern frameworks
- Collaborate with PMs, architects, and client stakeholders in an agile delivery model
- Write clean, testable, production-ready code built for enterprise scale
Requirements
- 6+ years of full-stack engineering experience
- Strong proficiency in at least one backend language (Python, Node.js, Java, or Go)
- Hands-on production experience integrating AI/ML models or LLM APIs (OpenAI, Bedrock, LangChain, etc.)
- Solid AWS deployment experience - ownership, not just familiarity
- Experience at enterprise scale: multi-tenant systems, security, observability, CI/CD
- Proficiency in a modern front-end framework (React preferred)
- Ability to own UI delivery end-to-end is a strong differentiator
- Comfort with ambiguity and delivering fast in client-facing engagements
- Strong communication - you can hold your own in stakeholder conversations
- Experience with agentic frameworks (LangGraph, CrewAI, AutoGen)
- Familiarity with vector databases (Pinecone, pgvector, Weaviate)
Qualifications
- Prior consulting or client-facing delivery experience
- Contributions to AI tooling or open-source projects
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.
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