ACL Digital is a design-led Digital Experience, Product Innovation, Solutions, and Consulting offerings leader. From strategy, to design, implementation, and management we help accelerate innovation and transform businesses. Keeping customer journeys and design at the core, it is committed to enable large Enterprises, SMBs and start-ups to transform. A pioneer in delivering Business Innovation, Integration and Transformation through disruptive technologies, ACL Digital brings in competitive advantage, innovation, and fresh perspectives to business challenges. With a multi-cultural and transnational talent and as part of the ALTEN Group comprising over 37,000 employees spread across more than 25 countries, it promotes a collaborative knowledge-building environment.
About Company
Roles and Responsibility
Project context
We are seeking an experienced AI Engineer (GenAI developer) with a passion for innovation and a strong desire to learn and experiment. As a key member of our team, you will play a pivotal role in ideating, developing, and maintaining cutting‑edge GenAI applications focused towards solving API integration challenges. Your expertise in Python, combined with exposure to Java/C++, will be essential as you tackle API integration challenges and build cloud native microservice based agentic solutions.
Additionally, it s a plus if you have prior experince in ML engineering or MLOps
Goals and Deliverables
Responsibilities
- Design, develop, and productonize GenAI applications focused towards solving API integration challenges encompassing all phases of development.
- Ideation and data driven experimentation & evaluation
- Design, develop, and implement microservices (using Quarkus/FastAPI) and proven design patterns
- Contribute to the creation of a robust and scalable cloud‑native architecture
- Collaborate with cross‑functional teams (DevOps, QA) to ensure smooth delivery and operation
- Write clean, efficient, and well‑documented code adhering to best practices
- Identify and implement opportunities for performance optimization and resource efficiency
- Stay up‑to‑date with the latest advancements in GenAI, AgenticAI, RAG, etc.
- Mentor and motivate junior developers, sharing your knowledge and expertise
- Participate in code reviews and ensure adherence to design principles and technical standards
- Identify and troubleshoot potential issues, proactively solving problems and mitigating risks
- Contribute to continuous improvement processes and knowledge sharing within the team
Qualifications
- Good understanding of GPT APIs and libraries like LangChain, Swarm, CrewAI, etc.
- Good understanding of Vector Databases
- Hands‑on experience in prompt engineering patterns to develop GenAI apps.
- In‑depth knowledge of Python, one other language like Java/C++ and microservices architecture
- Strong understanding of design principles and patterns
- Experience in taking an LLM based application to production (not just POCs)
- Excellent communication and collaboration skills, ability to work effectively in a team
- Problem‑solving and analytical skills, with a proactive approach to overcoming challenges
- Passion for learning and staying updated with the latest advancements in technology
Bonus Points
- Experience with RAG
- Experience with cloud‑native technologies (Kubernetes, Docker/Podman, etc.)
- Experience with Microsoft Azure (Azure Functions, Azure AI Search)
- Experience with CI/CD pipelines and automation tools
- Experience with designing and building evals for LLM based applications or agentic aplications [this is not LLM evals]
- Experience with performance optimization techniques and profiling tools
- Leadership experience and the ability to mentor junior developers
If you are a highly motivated and skilled AI Engineer who is passionate about building GenAI applications (not just ChatBots) to solve business & development challenges and also interested in building distributed cloud‑native applications, we encourage you to apply!
Apply
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