Senior Artificial Intelligence Engineer
First seen by Alion on Oct 30, 2026.
Position: Sr. AI Engineer
Location: New Delhi, India
Company: a21.ai
Job Type: Full-time
Experience Required: 2-5 years with exposure to production level AI deployment
About a21.ai
a21.ai is at the forefront of AI innovation, helping companies build 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 at scale.
This is a hands-on client facing 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.
- 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 evaluations, observability, and monitoring for LLM applications.
- 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 or domain adaptation.
- 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
- 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 webinars
Technical Environment
- State-of-the-art AI tools and development environments
- Collaborative research culture with opportunities to contribute to open-source projects
- 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.