Artificial Intelligence Engineer

Key Responsibilities

• Build and deploy GenAI-powered Chat Bots and Agents using LangChain and LangGraph .
• Design and implement retrieval-augmented generation (RAG) pipelines with Vector DBs for knowledge retrieval.
• Support the development of workflow automation agents for enterprise environments.
• Collaborate with data engineers to prepare and optimize Databricks pipelines for training, inference, and data integration.
• Apply MLOps / LLMOps best practices to ensure scalability and reliability.
• Use SQL and graph-based data modeling / analysis techniques to support AI / ML workflows.
• Translate business needs into AI-powered prototypes and solutions across supply chain, manufacturing, and operations .

Required Skills & Experience

Adastra APAM Culture Manifesto

Servant Leadership

Managers are servants to employees. Managers are elected to make sure that employees have all the processes, resources, and information they need to provide services to clients in an efficient manner. Any manager up to the CEO is visible and reachable for a chat regardless their title. Decisions are taken with a consent in an agile manner and executed efficiently in no overdue time. We accept that wrong decisions happen and we appreciate the learning before we adjust the process for a continuous improvement. Employees serve clients. Employees listen attentively to client needs and collaborate internally as a team to cater to them. Managers and employees work together to get things done and are accountable to each other. Corporate KPIs are transparently reviewed on monthly company events with all employees.

Performance Driven Compensation

We recognize and accept that some of us are more ambitious, more gifted, or more hard-working. We also recognize that some of us look for a stable income and lesser hassle at a different stage of their careers. There is a place for everyone, we embrace and need this diversity. Grades in our company are not based on number of years of experience, they are value driven based on everyone's ability to deliver independently their work to clients and / or lead others. There is no 'annual indexation' of salaries, you may be upgraded several times within the year, or none, based on your own pace of progress, ambitions, relevant skillset and recognition by clients.

Work-Life Integration

We challenge the notion of work-life balance, we embrace the notion of work-life integration instead. This philosophy looks into our lives a single whole where we serve ourselves, our families and our clients in an integrated manner. We encourage 100% flexible working hours where you arrange your day. This means you are free when you have little work, but this also means extra effort if you are behind schedule. Working for clients that may be in different time zones means we give you the flexibility to design how your day will look like in accordance to personal and project preferences and needs. We appreciate time and we minimize time spent on Adastra meetings. We are also a remote-first company. While we have our collaboration offices and social events, we encourage people to work 100% remote from home whenever possible. This means saving time and money on commute, staying home with elderly and little ones, not missing the special moments in life. This also means you can work from any of our other offices in Europe, North America or Australia, or move to a place with lower cost of living without impacting your income. We trust you by default until you fail our trust.

Global Diversity

Adastra is an international organization. We hire globally and our biggest partners and clients are in Europe, North America and Australia. We work on teams with individuals from different culture, ethnicity, sexual preference, political views or religion. We have zero tolerance to anyone who doesn't pay respect to others or is abusive in any way. We speak different languages to one another, but we speak English when we are together or with clients. Our company is a safe space where communication is encouraged but boundaries regarding sensitive topics are respected. We accept and converge together to serve our teams and clients and ultimately have good time at work.

Lifelong Learning

On annual average we invest 25% of our working hours to personal development and upskilling outside project work, regardless of seniority or role. We feature hundreds of courses on our Training Repo, and we continue to actively purchase or tailor hands-on content. We certify people on our expense. We like to say we are technology agnostic; we learn the principles of data management and we apply it on different use cases and different technology stacks. We believe that the juniors today are the seniors tomorrow, we treat everyone with respect and mentor them into the roles they deserve. We encourage seniors to give back to the IT community through leadership and mentorship. On your last day with us we may give you an open-dated job offer so that you feel welcome to return home as others did before you.

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Skills Required

Sql, Tensorflow, Azure ML, Pytorch, Databricks, graph databases , Python