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GenAI Engineer

GenAI Engineer

Enterprise Minds

8 - 10 years

2 - 6 Lacs

hyderabad

Posted:21 hours ago| Platform:

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Skills Required

continuous integration ci/cd docker linux python lora kubernetes anaconda redhat linux numpy artificial intelligence tensorflow git postgresql pytorch kibana mongodb ml ubuntu microsoft azure jupyter notebook sql server nosql pandas grafana

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Title: GenAI Engineer

Location: Hyderabad, Telangana, India

Department: Emerging Technologies / AI & Data Engineering

Reporting To: Head of AI / Director of Innovation

Role Purpose
The GenAI Engineer will design, build, deploy, and maintain generative AI systems and large language model (LLM)-based solutions that support Greenkos digital initiatives. This will include embedding AI/ML capabilities into energy management platforms, optimizing workflows, enabling advanced analytics, and ensuring reliable, scalable, secure operation of GenAI models.

Key Responsibilities

Develop and deploy GenAI applications using LLMs (open source or proprietary) for use cases such as predictive analytics, natural language interfaces, summarization, RAG (Retrieval-Augmented Generation), etc.

Lead prompt engineering, fine-tuning, model evaluation, and optimization (latency, cost, accuracy, bias/hallucination mitigation).

Integrate GenAI systems with existing backend systems, databases (SQL/NoSQL), microservices, APIs, cloud platforms (Azure +/or GCP or others), vector databases (e.g. Pinecone, FAISS), embedding generation, etc.

Set up and manage MLOps pipelines / workflowsversioning, monitoring, deployment, continuous evaluation, and maintenance of models in production.

Design for scalability, performance, and reliability (handling inference workloads, batch vs streaming, caching / quantization if needed).

Collaborate with cross-functional teams (data engineering, software engineering, DevOps, domain experts in energy/operations) to deploy AI solutions that deliver business value.

Implement safety, governance, ethical AI practicesmodel interpretability, fairness, compliance, data privacy.

Document technical designs, model decisions, API contracts, etc. Mentor junior engineers or interns as needed.

Required Skills & Qualifications

Bachelors or Masters degree in Computer Science, Engineering, Data Science, or related field.

3-7+ years (or as per seniority) experience with AI/ML, especially working hands-on with LLMs, transformers, etc.

Strong proficiency in Python , and experience with relevant ML frameworks/libraries (e.g. PyTorch, TensorFlow, Hugging Face). Skills in data manipulation with Pandas, NumPy, etc.

Experience with prompt engineering, RAG pipelines, embedding models, vector databases (FAISS, Pinecone, etc.).

Good knowledge of database systemsboth relational (e.g. PostgreSQL, MS SQL) and NoSQL (e.g. MongoDB).

Comfortable with cloud services (especially Azure) for model hosting, deployment, monitoring; familiarity with Docker, Kubernetes, container orchestration.

Version control (Git), CI/CD pipelines, MLOps tools (e.g. MLflow or others).

Strong problem-solving, analytical skills; ability to debug model behavior (e.g., hallucinations, bias) and optimize performance (latency, cost).

Excellent communication skills; ability to translate technical concepts to non-technical stakeholders; collaboration across disciplines.

Preferred Skills / Plus

Experience with open-source techniques like LoRA / QLoRA, quantization, model distillation, etc.

Experience in prompt flow or prompt engineering frameworks / tools.

Exposure to real-world production deployments in energy / clean-technology domain / industrial-scale systems.

Experience using monitoring / logging / observability tools (e.g., Grafana, Kibana, telemetry) for model infra.

Experience with Windows/Linux (Ubuntu/RedHat) operating systems, tooling for both.

Familiarity with workflows involving Anaconda, Jupyter Notebooks, distributed computing, etc.

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GenAI Engineer