AI Engineer

2-3 Years

On-site

Jaipur(Rajasthan), IND

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.

Who Should Not Apply

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.

• Be part of a passionate and collaborative team.
• Work on Cutting edge projects.
• Make a real impact.
• Enjoy competitive benefits.
• Great Working Environment.