Artificial Intelligence Engineer
2 weeks ago
About Company
Amplework Software
is a full-stack development agency specializing in end-to-end software solutions for global clients. We combine innovation, technology, and strategy to deliver products that drive digital transformation.
Our expertise spans
custom software development, mobile applications, AI-driven solutions, and enterprise applications
. Join our team to work on impactful, production-grade projects that use cutting-edge technologies to solve real business challenges.
Job Summary
We are seeking a
hands-on AI Engineer
with
2–3 years of experience
delivering production-grade AI solutions. This is a
strategic position
where you'll work on advanced AI initiatives — including
LLMs, RAG pipelines, and multi-agent workflows
— to build intelligent, scalable systems.
You will be responsible for
building, fine-tuning, and deploying models
, integrating them into production environments, and collaborating with cross-functional teams to deliver high-impact solutions for global clients.
Key Responsibilities
- Design & Build:
Develop and deploy AI/ML solutions for real-world business problems. - LLM Engineering:
Fine-tune and evaluate LLMs (OpenAI GPT, LLaMA, Mistral) for domain-specific tasks. - RAG & Multi-Agent Systems:
Build and optimize retrieval-augmented generation pipelines, vector search workflows, and multi-agent orchestration. - API Development:
Build scalable inference APIs with FastAPI/Flask, focusing on concurrency and performance. - Deployment & MLOps:
Collaborate with DevOps to containerize models (Docker) and deploy them on AWS/GCP/Azure. - Model Monitoring:
Track performance in production, iterate to improve accuracy, reliability, and cost efficiency. - Continuous Learning:
Stay updated with AI trends and propose innovative solutions for client projects.
Required Skills & Qualifications
Education:
- Bachelor's degree in Computer Science, Engineering, AI, or a related field.
Experience:
- 2–3 years of professional experience
in AI/ML engineering, data science, or related software development roles. - At least one end-to-end AI project
where you worked across multiple teams and led the technical delivery from initial design through deployment and monitoring.
Technical Proficiency:
- Strong foundation in
Python
and ML/AI fundamentals (transformers, embeddings, NLP). - Hands-on experience with at least one GenAI/LLM framework (
OpenAI API, Hugging Face, LangChain, LlamaIndex
). - Experience integrating AI models into production systems and building REST APIs.
- Familiarity with
containerization
(Docker) and cloud platforms (AWS/GCP/Azure).
Core Attributes:
- Strong
problem-solving ability
and a passion for innovation. - Clear
communication skills
— can explain technical decisions to teammates and stakeholders. - Ownership mindset
— delivers quality solutions with minimal supervision. - Curiosity to explore and adopt
new AI tools and frameworks
proactively.
This role is
not
for those who:
- Prefer strictly rule-based programming without flexibility for experimentation.
- Are uncomfortable with fast-paced learning, ambiguity, and solving open-ended problems.
- Lack interest in communicating solutions clearly to non-technical stakeholders.
- Always seeking help from others to finish the job.
How to Apply
Interested candidates can apply directly via the LinkedIn job post.
Please include a brief note on
the most impactful AI project you've worked on
and your contribution.
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