Lead AI Consultant

We are building the future of software development, specializing in DevOps and AI. At Eficode, we’re passionate about sharing

knowledge, not just within our teams, but with the community around us. We invest heavily in our people through conferences,

training, and other growth opportunities. For our clients, who range from innovative startups to large regulated enterprises, we

aim to be trusted experts who lead by example and demonstrate how to deliver truly great results.

As a company, we are heavily investing in AI and aim to be the best AI integrator in Europe and after that, the world. We have

recruited knowledgeable people in the field of AI and leverage our heavy DevOps experience as a company to build the best scalable

AI infrastructure, guardrails and value creating deployments, not just proofs of concepts.

If you’re a visionary in the realm of AI, Cloud, and DevOps, someone who can identify emerging trends, and rapidly experiment and

build with new technologies, we want you to join our team as a Lead AI Consultant.

Key to this role is your ability to grasp the bigger picture of how tools and AI techniques fit together, and to stay ahead of the

curve on what’s coming next. While we value deep expertise, we prioritize individuals who can iterate quickly and continuously

learn. You enjoy trying out new tools, prototyping solutions, and learning from failures and successes alike.

In this lead role, you will be a driving force in our knowledge-sharing culture. You’ll collaborate with a diverse internal

community of experts across AI, DevOps, cloud, and software development, while also keeping an eye on industry trends outside

Eficode and bringing fresh insights back to the team.

You won’t have direct line management duties, but you will lead projects and mentor others through your technical vision and by

owning your work with customers. As a consultant, you’ll work closely with clients to understand their needs as well as, propose

and deliver AI solutions that provide real value, often in complex, high-stakes environments where quality, security, and

compliance are paramount.

• Bring deep expertise in AI/ML and cloud-native development: You have strong hands-on experience in machine learning and in

building and running cloud services in production. You’re comfortable with modern cloud platforms and can design scalable,

resilient systems to deploy AI solutions.

• Generative AI & LLMs: Hands-on experience with generative AI (e.g. working with large language models like GPT-3/4,

fine-tuning pre-trained models, or building AI-powered chatbots and autonomous agents).

• MLOps & AI Integration: Experience integrating ML models into real products or services – for example, serving models behind

APIs, using MLOps frameworks (Kubeflow, MLflow, Vertex AI Pipelines, Nvidia, etc.), or deploying AI solutions to production

with monitoring and feedback loops.

• AI Quality Assurance & Guardrails: Hands-on experience designing and implementing AI system safeguards, such as using judge

models, automated evaluation techniques, or deterministic testing approaches to assess LLM output quality. Understanding of

how to build robust guardrails around generative models to ensure safety, consistency, and compliance in production

environments.

• Have a visionary mindset: You can anticipate emerging trends in AI and DevOps. Whether it’s the latest advances in large

language models, MLOps tools, or cloud technologies, you love exploring new possibilities and quickly figuring out how they can

be applied in practice.

• Demonstrate project leadership: You have experience driving projects to success. We value the ability to mentor others and

organize work effectively. We do not require formal leadership experience, whether you have led school clubs or hobbies, it is

a great experience for us. If you have led a team or a technical area in the past, that is a plus.

• Champion knowledge sharing: You actively foster a culture of learning and collaboration. You enjoy extracting lessons from your

projects and spreading best practices to the wider community – whether through internal workshops, weekly communities of

practice, blog posts, or conference talks.

• Showcase strong communication skills: You can articulate complex ideas clearly in English, both in writing and speaking. You’re

eager to engage with different audiences, from technical teammates to business stakeholders, and you excel at adjusting your

message accordingly. (Finnish or Swedish language skills are a plus, and any additional language skills are appreciated, but

not required.)

• Are people and customer-oriented: You enjoy working with people. As a consultant, you listen to customers’ needs and work

alongside them to improve their outcomes. You take pride in being a trusted advisor and are comfortable coaching and

collaborating with client teams.

• Software development practices: Solid software engineering fundamentals. You may be skilled in multiple programming languages

and familiar with agile practices like TDD, pair/ensemble programming, or domain-driven design.

• Cloud services: Familiarity with cloud-based AI offerings (such as Google Vertex AI, AWS SageMaker, or Azure ML Studio) and

understanding how to leverage them effectively.

• Infrastructure as Code & CI/CD: Practical knowledge of Infrastructure as Code tools (like Terraform or CloudFormation) and

CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, etc.) in a production environment. You may have set up automated

build/test/deploy workflows or managed infrastructure through code.

• Containerization and orchestration: Experience containerizing applications with Docker and orchestrating them with Kubernetes

or other platforms. Knowledge of virtualization or serverless architectures is also beneficial.

• Automation & DevSecOps mindset: Strong scripting abilities (Python, Bash, etc.) for automation, and a good understanding of

DevOps security best practices – e.g. performing container security scans, managing secrets, and ensuring compliance in

automated pipelines.

• Data streaming and pipelines: Exposure to real-time data processing or workflow orchestration tools. For instance, experience

with Apache Kafka for streaming data, Celery for distributed tasks, or Apache Airflow for scheduling data/ML pipelines.

• Certifications: Relevant certifications are not required but appreciated. For example, a cloud associate certification (AWS,

Azure, or GCP), a Certified Kubernetes Application Developer (CKAD), or an AI/ML certification (from Google, Microsoft, AWS,

Nvidia or other AI programs) can demonstrate your commitment to growing your expertise.

We offer you the opportunity to be part of a community passionate about the future of software. With a culture of continuous

learning, experimentation, and dedicated time each week for knowledge sharing, we foster an environment where individuals can be

themselves and invest in their development. This we think is reflected in our values:

Ideas are freely shared, and both collective and individual achievements are celebrated. You’ll have the opportunity to

collaborate with leading businesses (including major players in finance, telecom, industry, and other regulated sectors), actively

participate in the tech community, and engage in cross-team collaboration beyond our office walls. Backed by a supportive team, we

take pride not only in delivering high-quality work for our clients but also in caring for each other’s well-being.

We deeply care about being thought leaders and staying on the edge of technology. We have multiple people doing their PhD’s at us

and we typically support your trips to technical conferences if you get your talk accepted. Yellow hoodies of Eficode have been

visible in many leading technological conferences around the world.

At Eficode, we believe your compensation should reflect the impact you make and how you grow along the way. Your salary develops

through regular check-ins with your team lead, where we look at things like your skills, experience, client work, feedback, and

overall contribution — both to your projects and to our culture. As a consultancy, it’s natural that factors like time spent on

billable client work are part of the picture — but so are your development, collaboration, and everyday efforts that drive value.

We also carry out a company-wide salary review once a year.

On top of your salary, we offer a broad mix of benefits, both financial and non-financial, to support your well-being, work-life

balance, and professional growth.

If you’re excited to make an impact and innovate in the world of AI and DevOps, we encourage you to apply! Please submit your CV

and a cover letter describing your achievements and why you’d be a great addition to our team.

We are dedicated to creating a work environment that embraces diversity, inclusion, and respect for all employees. We believe that

our differences make us better. We recognize that by having diverse perspectives, skills, ages, genders, backgrounds and cultures

we will better drive our customers forward and innovate in our field.

To ensure a fair recruitment process, please refrain from sharing unnecessary personal information and your picture on your job

application.

Eficode, better made possible.