1. GenAI Engineer (Mid-Level)
· Location: Kolkata or Remote from anywhere
· Experience: 4+ yrs
· Mode: Permanent
· Annual Salary: INR 16 LPA
· Interview rounds: 2 (Virtual)
· Availability: Immediate - 30 days
Position Overview
We are seeking a talented and passionate GenAI Engineer with strong expertise in Large Language Models (LLMs) to join our Backend Engineering team. In this role, you will design, develop, and optimize AI-powered backend solutions that leverage the latest generative AI technologies to build intelligent, scalable, and production-ready applications.
Key Responsibilities
- Design, develop, and deploy backend applications powered by Large Language Models (LLMs).
- Build AI-driven services using modern GenAI frameworks and APIs.
- Develop and optimize prompt engineering strategies, Retrieval-Augmented Generation (RAG) pipelines, and agent-based workflows.
- Integrate LLMs with internal systems, APIs, databases, and backend services.
- Evaluate, fine-tune, and optimize model performance, latency, accuracy, and cost.
- Implement monitoring, testing, and guardrails to ensure reliability, security, and responsible AI usage.
- Collaborate with backend engineers, product managers, and stakeholders to translate business requirements into AI-enabled solutions.
- Stay up to date with emerging advancements in generative AI, LLMs, and AI infrastructure.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven experience developing applications using Large Language Models (LLMs).
- Strong programming skills in Python.
- Experience with GenAI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar.
- Hands-on experience with leading LLM providers such as OpenAI, Anthropic, Google Gemini, or open-source models (e.g., Llama, Mistral).
- Experience designing and integrating RESTful APIs and backend services.
- Strong understanding of vector databases, embeddings, Retrieval-Augmented Generation (RAG), and prompt engineering.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of containerization and deployment technologies (Docker, Kubernetes) is an advantage.
- Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
- Experience fine-tuning or adapting foundation models.
- Experience with AI observability, evaluation frameworks, and model monitoring.
- Familiarity with CI/CD pipelines and MLOps practices.
- Experience building production-scale AI applications.
- Understanding of AI governance, security, and responsible AI principles.
What You'll Bring
- Passion for generative AI and emerging technologies.
- Ability to work independently and collaboratively in a fast-paced environment.
- Strong ownership mindset with a focus on delivering high-quality, scalable solutions.
- Continuous learning attitude and enthusiasm for experimenting with new AI technologies.
