{"title":"Position Overview :","content":"

- 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.

"} {"title":"Key Responsibilities :","content":"

- 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.

"} {"title":"Required Qualifications :","content":"

- Bachelors or Masters 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

"} {"title":"Preferred Qualifications :","content":"

- 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.

"} {"title":"What Youll Bring :","content":"

- Passion for generative AI and emerging technologies.

- Ability to work independently and collaboratively in a quick-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.

"}





- 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.

- 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.

- 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 GenAI Engineer (Mid-Level) (Kolkata)
🏢 Mindteck
📍 Kolkata