Generative AI Engineer

Position:
Sr. AI Engineer

Location:
New Delhi, India

Company:

Job Type:
Full-time

Experience Required:
2-5 years

About

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
  .
• Knowledge of
  RAG system design
  and best practices.
• 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.
• 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

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.