Senior AI Engineer (GenAI)
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Monthly Salary:
Posted on:
21 hours ago
Vacancies:
1 Vacancy
Job Summary
What Youll Do
As aSenior AI Engineer (GenAI) at InteractiveAI youll play a key role in developing our next-generation AI capabilities advancing our LLM SLM and fine-tuning workflows while contributing to the core model development that powers our platform.
Youll work closely with the Chief of AI and a cross-functional squad to design experiment with and deploy cutting-edge foundation models agentic architectures and evaluation frameworks. You will own hands-on experimentation model training optimization and productionizationhelping to push the boundaries of GenAI performance inside enterprise environments.
Youll contribute to org-wide AI standards model development best practices and high-quality engineering execution.
Youll work closely with the Chief of AI and a cross-functional squad to design experiment with and deploy cutting-edge foundation models agentic architectures and evaluation frameworks. You will own hands-on experimentation model training optimization and productionizationhelping to push the boundaries of GenAI performance inside enterprise environments.
Youll contribute to org-wide AI standards model development best practices and high-quality engineering execution.
- Build and maintain scalable pipelines for structured/unstructured data ingestion transformation and feature engineering
- Deploy ML models LLMs and SLMs into production ensuring performance reliability and traceability
- Develop fine-tuning pipelines for foundation models with versioned checkpoints experiment tracking and evaluation workflows
- Implement automated evaluation frameworks (A/B testing LLM-as-judge validation suites) and dashboards tracking latency accuracy drift and maintenance triggers
- Develop feature engineering imputation and data transformation strategies for complex real-world use cases
- Implement and optimize retrieval-augmented generation (RAG) pipelines vector search and grounding strategies
- Build enterprise-grade agentic workflows integrate tools and evaluate agentic system performance
- Optimize inference speed memory usage and cost across LLM/SLM deployments
- Ensure reliability and performance of models in production addressing issues around latency accuracy drift and scaling
- Collaborate with product and delivery teams to ship measurable client-ready AI capabilities and accelerate new GenAI features
What Were Looking For
Were looking for a highly skilled AI engineer with strong foundations hands-on GenAI experience and a track record of building production-grade AI systems. You should be capable of contributing to core architecture discussions while also executing end-to-end model development work.
Minimum Requirements:
Minimum Requirements:
- 4 years in data engineering ML engineering applied AI or related deep technical roles
- Experience deploying ML models and LLMs/SLMs to production with strong inference optimization skills
- Hands-on experience with agent orchestration tools (LangGraph LlamaIndex or similar)
- Experience training deep learning models and fine-tuning LLMs using modern frameworks
- Fluency in Python and experience with at least one deep learning framework (PyTorch preferred; TensorFlow or JAX also acceptable)
- Strong experience building production-grade data pipelines (batch or streaming) using tools like Airflow Spark or Dagster
- Solid understanding of ML theory (bias-variance tradeoff metrics optimization evaluation probability etc.)
- Comfortable with cloud platforms (AWS GCP Azure) and containerized deployments
- Strong communication skills and ability to work effectively in cross-functional teams
- Experience with LLMs/SLMs and RAG pipelines in production
- Familiarity with vector databases embeddings and document retrieval strategies
- Exposure to MLOps practices (monitoring reproducibility CI/CD for ML automated evaluation)
- Experience optimizing inference latency throughput and cost at scale
- Experience working in regulated or enterprise environments (e.g. banking insurance)
- Bonus: experience with model distillation quantization or training smaller models (SLMs)
What Youll Get
- Competitive base salary (90000/yr to 110000/yr) performance bonuses
- Access to equity/share plan as it rolls out.
- Health & wellness allowances
- Private health insurance
- Flexible work setup travel when needed (ideally Hybrid in Lisbon or Madrid)
- 25 days of holidays/paid time off (excluding local public holidays)
Who You Are
- Proactive & Resourceful: You anticipate challenges propose solutions and help push model performance forward.
- High-Ownership Engineer: You move with accountability take responsibility for outcomes and consistently raise the bar.
- Entrepreneurial & Adaptive: You thrive in ambiguity operate with speed and deliver in a high-paced startup setting.
- Collaborative Teammate: You work well across disciplines and help foster a culture of high performance.
Interview Process
We keep our process focused and respectful of your time. Most candidates complete it in 23 weeks. Heres what to expect:
- Intro Call 30 minutes with our team to align on fit and expectations
- Take-Home Challenge A practical task based on real-world problems
- Technical Interview Deep dive into the challenge technical experience and AI engineering
- Cultural and Values Interview Discussion on motivation cultural and value alignment
- Offer Final conversation and offer
About us
InteractiveAI is a fast-growing startup on a mission to empower enterprises with fully managed AI agent lifecycles.
We are building the next generation of enterprise-AI solutions delivering an end-to-end Agentic IDE alongside an extensible ecosystem of agentic resources and solutions.
Our platform allows companies to orchestrate monitor evaluate deploy and improve AI agentsand soon fine-tune and own their own models.
We value autonomy speed and innovation and were building a world-class team to match. Our squads are lean focused and execution-driven.
If you thrive in high-performance environments and want to be part of a company that rewards transformational outcomes this is for you.
Required Experience:
Senior IC
Key Skills
- APIs
- C/C++
- Computer Graphics
- Go
- React
- Redux
- Node.js
- AWS
- Library Services
- Assembly
- GraphQL
- High Voltage
About Company
InteractiveAI is a fast-growing startup on a mission to empower enterprises with fully managed AI agent lifecycles. We are building the next generation of enterprise-AI solutions, delivering an end-to-end Agentic IDE alongside an extensible ecosystem of agentic resources and solutions ... View more
