AI Engineer

Location: Hyderabad (On-site/Hybrid)

Company: Deccan AI

Employment Type: Full-Time

Experience: 1–3 Years

About Deccan AI

Deccan AI is at the forefront of building advanced AI solutions for real-world applications. We’re passionate about pushing the boundaries of artificial intelligence, natural language processing, and intelligent agent systems. Join us and work alongside a team that values innovation, ownership, and continuous learning.

Job Summary

As an AI Engineer at Deccan AI, you’ll work on designing, developing, and deploying state-of-the-art multi-agent systems, retrieval-augmented generation (RAG) pipelines, and cutting-edge NLP chatbots. You’ll be hands-on with large language model (LLM) fine-tuning, prompt and context engineering, and have a strong influence on both technical direction and product outcomes.

Key Responsibilities

Design, build, and optimize multi-agent AI systems for diverse use cases.

Develop RAG pipelines and integrate them with conversational AI solutions.

Fine-tune and deploy LLMs for various domain-specific tasks and applications.

Engineer prompts and contextual data flows to maximize model performance and accuracy.

Collaborate with cross-functional teams (product, engineering, design) to deliver robust and scalable AI products.

Contribute to architecture and system design discussions for production-ready AI services.

Stay up-to-date with the latest trends in AI, NLP, and LLM research.

Write clean, efficient, and well-documented Python code.

Requirements

Strong at machine learning concepts

1+ years of hands-on experience building agent-based AI systems and RAG pipelines.

1–2 years of experience in fine-tuning and deploying large language models (LLMs).

Strong understanding of NLP algorithms and frameworks, including Transformers, BERT, etc.

Proficiency in Python and experience with libraries such as PyTorch and HuggingFace.

Solid grasp of system design principles and scalable ML architectures.

Strong problem-solving skills, attention to detail, and a collaborative mindset.

Bonus Skills

Experience with FastAPI for API development.

Hands-on with Docker for containerization and deployment.

What We Offer

Competitive compensation: Best-in-industry salary and equity.

Comprehensive benefits: Health insurance, wellness perks, flexible paid time off.

Learning culture: Access to conferences, courses, and mentorship.

Modern work environment: Hybrid flexibility, world-class infrastructure, and high-impact projects.

Career growth: Fast-track opportunities to leadership roles and new technologies.

Reporting & Team

You will report directly to the AI Lead and collaborate closely with engineers, product managers, and data scientists across teams.

Challenges & Opportunities

At Deccan AI, you’ll tackle some of the most exciting problems in multi-agent systems and NLP. Expect to work with the latest LLMs and RAG architectures, help shape products from scratch, and see your contributions deployed in real-world applications.