We create business value in a world full of data.
AI Engineer
Location
Europe
Posted
67 days ago
Salary
0
Seniority
Senior
Job Description
AI Engineer
Hiflylabs
• Own the architecture and delivery of production-grade LLM systems and classical ML solutions • Design, evaluate, and optimize RAG pipelines (retrieval strategy, chunking, indexing, monitoring) • Build scalable, production-grade LLM services and agentic workflows, alongside traditional ML systems where appropriate • Define architecture trade-offs (LLM vs traditional ML, fine-tuning vs RAG, hosted vs self-managed models), with a strong focus on system-level optimization (latency, cost, scalability, reliability) • Architect and optimize distributed GenAI and ML workloads on Databricks (Spark, MLflow), leveraging deep understanding of the platform ecosystem • Implement evaluation frameworks to measure quality, hallucination, and performance • Productionize systems with proper CI/CD, monitoring, rollback, and versioning • Independently design AI solutions tailored to client problems, translating business needs into scalable architectures • Lead technical decisions in client engagements and actively contribute to pre-sales architecture discussions • Mentor team members and define GenAI and ML best practices.
Job Requirements
- 5+ years of experience in Data Science or a related field
- Proven experience delivering LLM-based systems to production (not only PoCs), as well as experience with classical ML projects
- Strong hands-on experience with RAG, agents, and open-source LLMs
- Deep understanding of system-level trade-offs (latency, cost, scaling, reliability), and experience optimizing production systems accordingly
- Strong Python and SQL skills
- Deep hands-on experience with Databricks and distributed computing (Spark), including performance optimization
- Experience deploying scalable ML/LLM systems on AWS, Azure, or GCP
- Ability to independently design end-to-end AI solutions in response to client problems
- Client-facing experience and openness to participate in pre-sales processes
- Clear, confident communication in English in technical discussions.
Benefits
- International projects, diverse challenges
- Advanced technologies
- Empowerment
- Flexible ways of working
- Balanced life
- Mentoring from your first day
- Learning & Development opportunities
- Supportive corporate culture
- Lots of fun
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AI Annotator - Linux / Scripting / Developer Workflows
Gramian ConsultingWe get talents. You get results.
About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview We are looking for technically skilled professionals to join a short-term project as Technical Annotators, contributing to the creation and validation of high-quality workflow data used to train advanced AI systems. In this role, you will produce detailed, step-by-step technical workflows for developer-adjacent tasks such as file operations, scripting, API usage, terminal commands, and browser-based automation. The work requires strong attention to detail and the ability to translate natural-language instructions into precise executable steps. This role is ideal for candidates with experience in software development, technical support, scripting, or Linux environments. Commitments Required: 6-8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 5 weeks Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico, Brazil Interview: take home assessment (60min) Your Daily Responsibilities - Create step-by-step technical workflows based on natural language instructions - Produce structured task trajectories for developer-style activities - Execute and document workflows in Linux desktop environments - Validate trajectories for correctness, completeness, and reproducibility - Use Python or Bash scripting to simulate or verify task execution - Work with APIs, terminal commands, files, and browser-based tools - Review annotations to ensure consistency and high quality - Follow detailed annotation guidelines and quality standards - Collaborate with internal reviewers to improve task accuracy
AI Annotator - Linux / Scripting / Developer Workflows
Gramian ConsultingWe get talents. You get results.
About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview We are looking for technically skilled professionals to join a short-term project as Technical Annotators, contributing to the creation and validation of high-quality workflow data used to train advanced AI systems. In this role, you will produce detailed, step-by-step technical workflows for developer-adjacent tasks such as file operations, scripting, API usage, terminal commands, and browser-based automation. The work requires strong attention to detail and the ability to translate natural-language instructions into precise executable steps. This role is ideal for candidates with experience in software development, technical support, scripting, or Linux environments. Commitments Required: 6-8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 5 weeks Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico, Brazil Interview: take home assessment (60min) Your Daily Responsibilities - Create step-by-step technical workflows based on natural language instructions - Produce structured task trajectories for developer-style activities - Execute and document workflows in Linux desktop environments - Validate trajectories for correctness, completeness, and reproducibility - Use Python or Bash scripting to simulate or verify task execution - Work with APIs, terminal commands, files, and browser-based tools - Review annotations to ensure consistency and high quality - Follow detailed annotation guidelines and quality standards - Collaborate with internal reviewers to improve task accuracy
AI Annotator - Linux / Scripting / Developer Workflows
Gramian ConsultingWe get talents. You get results.
About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role overview We are looking for technically skilled professionals to join a short-term project as Technical Annotators, contributing to the creation and validation of high-quality workflow data used to train advanced AI systems. In this role, you will produce detailed, step-by-step technical workflows for developer-adjacent tasks such as file operations, scripting, API usage, terminal commands, and browser-based automation. The work requires strong attention to detail and the ability to translate natural-language instructions into precise executable steps. This role is ideal for candidates with experience in software development, technical support, scripting, or Linux environments. Commitments Required: 6-8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 5 weeks Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico, Brazil Interview: take home assessment (60min) Your Daily Responsibilities - Create step-by-step technical workflows based on natural language instructions - Produce structured task trajectories for developer-style activities - Execute and document workflows in Linux desktop environments - Validate trajectories for correctness, completeness, and reproducibility - Use Python or Bash scripting to simulate or verify task execution - Work with APIs, terminal commands, files, and browser-based tools - Review annotations to ensure consistency and high quality - Follow detailed annotation guidelines and quality standards - Collaborate with internal reviewers to improve task accuracy


