Senior AI Engineer

Job Post for

Atrina Technologies

Job Title : Senior AI Engineer

Location : Goregaon, Mumbai

Experience : 4-7 years of experience

Role :

We’re a product company specialising in Artificial Intelligence, Machine Learning, Data Analytics, and Cloud-based technologies. If you're passionate about architecting and delivering cutting-edge AI solutions at scale, this role will give you ownership across the full AI lifecycle. As a Senior AI Engineer, you will lead and collaborate with engineers, data scientists, and product teams to design, implement, and optimise AI-powered solutions, with significant hands-on work on Large Language Models (LLMs), machine learning workflows, and end-to-end AI product development.

Job Responsibilities :

Model Development & Integration :

Lead the design, development, and fine-tuning of LLMs and GenAI solutions such as enterprise chatbots, task-specific AI assistants, and ML-driven solutions for prediction, forecasting, and decision support.

Solution Architecture :

Define AI solution architectures, select appropriate models, frameworks, and tooling, and ensure robustness, scalability, observability, and security in production environments.

Data Handling & MLOps :

Oversee data collection, cleaning, preprocessing, and feature engineering; work closely with data engineers to set up reliable data pipelines and model retraining workflows.

AI Frameworks :

Build, evaluate, and optimise AI solutions using frameworks like LangChain, LangGraph, CrewAI, LlamaIndex, TensorFlow, and PyTorch, and drive best practices in prompt engineering, evaluation, and guard railing.

Deployment & Productionization :

Own or co-own deployment of models to production (APIs, microservices, or batch jobs), ensuring performance, cost efficiency, monitoring, and seamless integration with existing systems.

Technical Leadership :

Mentor junior AI engineers and interns, review code and design documents, and establish coding standards, experimentation practices, and documentation norms for the AI team.

Collaboration :

Partner with senior stakeholders, software developers (SDEs), product managers, and clients to translate business problems into AI solutions and drive them from concept to successful delivery.

Research & Innovation :

Continuously evaluate the latest developments in generative AI, NLP, ML, and LLMOps; run PoCs; and recommend new techniques, models, or tools that can improve product capabilities.

Documentation & Communication :

Maintain clear technical documentation, experiment logs, and architecture diagrams; present design choices, trade-offs, and results effectively to technical and non-technical audiences.

Skills & Qualifications

Education :

Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence

Master’s degree or relevant certifications in AI / ML, data science, or cloud platforms is a plus.

Experience :

4–7 years of hands-on experience in AI / ML engineering, with at least some experience delivering production-grade AI or GenAI solutions end to end.

Proven experience working with LLMs, NLP, and ML workflows in real-world projects.

Technical skills :

Strong proficiency in Python and solid working knowledge of SQL.

Ability to write clean, efficient, modular code following good coding and testing practices.

Experience with Git / GitHub and modern development workflows (branching, PR reviews, CI).

Hands-on experience building APIs and services using FastAPI (or similar) and creating internal tools / dashboards using Streamlit (or similar).

Deep understanding of core ML concepts (supervised / unsupervised learning, evaluation metrics, feature engineering) and practical experience with NLP and GenAI solutions.

Practical experience with one or more AI orchestration / LLM frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex.

Strong experience with deep learning frameworks like TensorFlow and / or PyTorch for training, fine-tuning, and serving models.

Exposure to MLOps concepts (model versioning, experiment tracking, monitoring, CI / CD for ML) is highly desirable.

Familiarity with at least one major cloud platform (AWS, GCP, or Azure), including basic services for compute, storage, and AI / ML tooling.

Ability to profile and optimise model performance (latency, throughput, cost).

Other skills :

Strong analytical and problem-solving abilities, with a structured approach to debugging data, models, and systems.

Attention to detail and a proactive, ownership-driven mindset.

Good verbal and written communication skills, including the ability to explain complex AI concepts to non-technical stakeholders.

Ability to work independently and collaboratively in a fast-paced, product-focused environment, managing multiple initiatives in parallel.

Comfortable mentoring junior team members and contributing to a culture of learning and innovation.

Benefits :

Actual salaries will vary depending on a candidate's experience, qualifications, skills and location.

Medical Insurance

Paid Leaves

Flexible work schedules

Development and career growth opportunities

Open Time Off