About the role
What You’ll Do:
* Design and build cloud-native data, LLM-based, and agentic AI solutions addressing real client business challenges
* Implement and optimize RAG systems for production use cases
* Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor.
* Support presales: discovery calls, technical proposals, scoping, and client-facing demos
* Own the technical direction of client engagements from discovery through delivery — the go-to authority for clients and the internal team
* Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs
* Build and maintain ETL/ELT workflows using modern orchestration and distributed computing tools.
* Deploy ML and LLM-based solutions * Implement MLOps, LLMOps, and AgentOps practices: CI/CD, automated testing, model monitoring, and experiment tracking. * Lead architecture reviews, produce technical design documents, and contribute to standards * Mentor engineers, lead code reviews, and share knowledge across the team.
What You’ll Bring:
Mindset
* Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure * Already using AI tools in your daily workflow (Claude Code, Copilot, or similar) * Proactive and self-directed; you own outcomes end-to-end and spot problems before they're handed to you * B2+ English, comfortable collaborating across distributed, multicultural teams
Presales & Client Engagement
* Owns the client technical relationship; leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn't match timeline or budget * Produces scoped, phased delivery plans with clear deliverables, dependencies, and risks * Experience with cost estimation and cloud architecture cost optimization
AI & PYTHON/ DATA & CLOUD
* 7+ years building and running production systems — not only demos and POCs * Hands-on experience building production LLM-based applications and agentic workflows * Experience in integrating AI/ML components into solutions * Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock) * Experience building and optimizing RAG systems * Understanding of LLM evaluation techniques and quality assurance approaches * Experience deploying and maintaining AI/ML models in production environments * Python skills: OOP, design patterns, clean architecture, and performance optimization * Experience building RESTful APIs with FastAPI, Django REST, or Flask * Experience in making and defending architectural trade-off decisions * Experience with Docker and Kubernetes * Hands-on experience with AWS (Bedrock AgentCore, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered * Understanding of CI/CD practices applied to ML and AI pipelines * Familiarity with model monitoring, observability, and drift detection. Nice to Have * AWS and Claude Code Certifications * CI/CD pipeline experience (GitHub Actions, GitLab CI) * Experience in an additional language (Go, Node.js, or Rust). * Hands-on experience with Apache Spark, Apache Airflow, Kafkа
What We Offer:
Opportunity to work with cutting-edge AI and cloud solutions Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications Career growth: a clear path toward SA or beyond; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Remote with flexible hours Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work
Originally posted on Himalayas