Generative AI Engineer

Position : Sr. AI Engineer

Location : New Delhi, India

Company : a21.ai

Job Type : Full-time

Experience Required : 2-5 years

About a21.ai

a21.ai is at the forefront of AI innovation, helping companies build large language model (LLM) applications and bespoke GenAI solutions. We are dedicated to delivering scalable, secure, and data-confidential AI solutions that cater to a diverse range of industries, including CPG, retail, and finance. As we continue to grow, we are seeking talented and enthusiastic fresh graduates to join our AI engineering team and contribute to cutting-edge artificial intelligence projects.

Job Summary

We are looking for passionate candidates with 2-5 years of experience who are excited about artificial intelligence and machine learning. The ideal candidate should have a strong background in building agentic AI systems, RAG pipelines, and implementing vector search solutions that solve real business problems.

This is a hands-on role with exposure to cutting-edge models, orchestration frameworks, and enterprise-scale deployments. You will work alongside experienced AI engineers and data scientists to develop, deploy, and optimize AI models and solutions that solve real-world business problems.

Key Responsibilities

Design and implement multi-LLM agentic systems using frameworks like LangGraph, LangChain, or custom orchestration.

Build and optimize RAG pipelines with vector databases (Pinecone, Qdrant, OpenSearch, Weaviate, FAISS).

Engineer context injection and retrieval infra for domain-specific GenAI solutions.

Collaborate with Data Engineers on embedding stores and unstructured data ingestion pipelines .

Fine-tune or adapt transformer-based models for domain-specific tasks when required.

Deploy solutions across cloud and on-prem environments , ensuring security, latency, and scalability.

Work on client-facing projects , translating business problems into technical architectures.

Stay updated with the latest AI research papers and industry trends

Technical Skills

Strong programming in Python with hands-on experience in transformer libraries (Hugging Face, OpenAI, Anthropic, Llama).

Experience with LangChain / LangGraph or similar orchestration frameworks.

Hands-on expertise with Vector DBs and embedding pipelines .

Experience in scaling VectorDBs and building robust RAG pipelines for enterprise deployments

Experience of running evaluations and building Agents with memory

Experience with containerization & orchestration (Docker, Kubernetes).

Ability to design solutions that are cloud-agnostic and on-prem deployable .

Experience with version control systems (Git)

Soft Skills

Strong analytical thinking and problem-solving abilities

Eagerness to learn and adapt to rapidly evolving AI technologies

Excellent communication skills to explain complex AI concepts to diverse stakeholders

Collaborative mindset and ability to work in cross-functional teams

Curiosity about AI research and willingness to experiment with new approaches

Attention to detail and systematic approach to experimentation

Preferred Skills (Good to Have - Not Mandatory)

Prior work with fine-tuning transformers or domain adaptation.

Familiarity with observability and monitoring for LLM applications.

Exposure to multi-agent systems and reinforcement learning concepts.

Exposure to automatic prompt optimization based on user feedback

Experience integrating AI into enterprise workflows / CRMs / ERPs.

Basic understanding of cloud platforms (AWS, Azure, Google Cloud) and their AI services

Knowledge of containerization technologies (Docker)

Participation in ML competitions (Kaggle, hackathons) or research publications

Understanding of MLOps concepts and tools

What We Offer

Learning & Growth

AI Mentorship Program with dedicated senior AI engineers and researchers

Comprehensive training on LLMs, GenAI, and production ML systems

Research opportunities to work on cutting-edge AI projects and potentially publish papers

Conference and workshop attendance to stay current with AI advancements

Learning budget for AI / ML courses, certifications, and books

Technical Environment

State-of-the-art AI tools and development environments

Collaborative research culture with opportunities to contribute to open-source projects

Innovation time (20%) to explore personal AI research interests

Direct exposure to enterprise AI deployment challenges and solutions

Work Environment

• Startup culture with direct access to AI research leaders and industry experts
• Cross-functional collaboration with product, engineering, and business teams
• Regular tech talks and knowledge sharing sessions

a21.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We especially welcome applications from underrepresented groups in AI / ML and are dedicated to fostering the next generation of AI talent.