Senior AI Engineer

Akila is looking for a Senior AI Engineer who will be engaged into machine learning algorithm and theoretical frontier research which includes machine learning, deep learning and data mining. The candidate will be working across multiple teams and functions for developing cutting edge, creative and advanced AI applications, and processes. You should be comfortable working in a fast- moving startup environment where speed, hard work and fresh thinking are critical to success. You will own end- to- end development: problem scoping, model design, engineering, deployment, monitoring, and iterative improvement.
Key Duties and Responsibilities:

Build conversational AI experiences (chatbots, assistants) and productionize LLM- based features (prompt engineering, RAG pipelines, vector search).
Monitor and evaluate model performance in production.
Document designs, communicate complex technical concepts to engineers and non- technical stakeholders in simple words.
Conduct thorough data analysis and modelling; design experiments, baselines, and evaluation metrics.
Implement agile, hands- on approaches in project execution, ensuring flexibility and responsiveness to evolving business needs.
Collaborate cross- functionally with other AI engineers, backend engineers, product, QA, and leadership.
Design, develop, and deploy advanced ML models and generative AI to enhance product capabilities.
Contribute to the team&039;s knowledge sharing, fostering an environment that values innovative thinking and the exploration of new ideas in Machine Learning.
Troubleshoot production issues, optimize latency/throughput and cost across infra stacks.
Finetune traditional ML models and modern LLMs (including transfer learning / parameter- efficient updates where applicable).

Yêu cầu công việc

Familiarity with observability tools: Prometheus/Grafana, Sentry, ELK stack for logs/metrics.
Experience building conversational AI using LLMs (OpenAI, Llama family, Hugging Face models, etc.).
Bachelor’s or above in Computer Science, Electrical Engineering, Data Science, or related field.
Clear concept of LLM capabilities and limitations — able to break down tasks into feasible LLM development steps (prompting, in- context learning, finetuning, RAG, retrieval pipelines).
Familiarity with streaming protocols and architectures: RTSP, HLS, WebRTC, frame batching, lowlatency pipelines.
Container & microservice experience: Docker, Kubernetes.
Experience of MLOps and platform building experience is preferred.
Practical experience with GPU acceleration and NVIDIA stack: CUDA, cuDNN, TensorRT, NVIDIA Triton Inference Server, NVIDIA DeepStream.
Strong proficiency in Python and Linux.
Experience finetuning classical ML models and modern LLMs (LoRA, PEFT methods) and understanding tradeoffs.
Minimum 5 years in ML, data science or software engineering, with significant hands- on experience shipping ML features.
Deep understanding of data structures, algorithms, and performance optimization.
Good English communication. Strong communication, collaboration, and problem- solving skills. Preferred/nice- to- have:
Experience with SQL + at least one NoSQL DB; familiarity with Redis, Celery, Elasticsearch or similar big- data/streaming tools.
Experience developing video analytics pipelines (object detection/tracking, activity recognition), video summarization, or real- time video processing.

Tại sao bạn sẽ yêu thích làm việc tại đây

Be part of a fast- growing, innovative team shaping the future of digital twins.
The opportunity to work on groundbreaking digital- twin technology that directly contributes to decarbonization and sustainable building practices.
Competitive salary and benefits package, with flexible work arrangements.
Collaborate with industry leaders in AI, 3D visualization, and simulation.

Cập nhật gần nhất lúc: 2025-11-06 18:15:02