Job Description

As an AI Engineer, you will use modern data architecture, algorithms, and processes to help our customers meet key business objectives. In this role, you may create, review, and optimise algorithms and processes for our customers in the 0-1 and 1-n journey.

Responsibilities:

Architect: Choose the right tools, frameworks, and cloud services to meet business goals.

Educate: Advise and educate customers on how to use different data engineering, AI/ML algorithms, strategies, and processes from the many options available.

Build: Build a data pipeline that processes, stores, integrates, and analyzes large volumes of data in record time. Create visualisations and insights from the data in order to take informed and data-backed business decisions. Build or leverage AI/ML algorithms to solve real business problems.

Communicate: Proactively communicate with your team. Raise blockers, brainstorm solutions, and seek early feedback.

Review: Participate in peer reviews to ensure quality deliverables.

Tests, Monitoring, and Observability: Write test suites and build automated CI and CD pipelines to deliver more releases and reduce manual effort. Create automated mechanisms to evaluate models with changing variable conditions. Bake in observability and monitoring to ensure outputs are in line with expectations.

Learn: Learn from the practices followed by other teams and evangelize your learnings.

Showcase: Share your learnings on internal and customer projects via articles, case studies, books, and webinars.

Requirements:

Full Stack Development is a must. Experience with relevant frontend, backend frameworks like React, Next, Node/golang/Python is a must.

Experience with cloud providers like AWS/GCP is a must.

Proficiency in designing, deploying, fine-tuning, and evaluating LLMs (including RAG and vectorDB integrations) with built-in observability and monitoring.

Hands-on experience with AI/MLOps workflows and tools (e. g., MLflow, Kubeflow).

Background in multi-agent orchestration and multimodal AI systems.

Experience creating AI workflows using orchestration platforms (e. g., n8n, relay.app ) and leveraging a variety of AI tools and plugins (e. g., Byword, Exa, Clay).

Strong Python expertise with two or more libraries/frameworks (e. g., scikitlearn, TensorFlow, PyTorch, Keras, NLTK/SpaCy, Hugging Face).

Proven track record of optimizing models and measuring their business impact (performance metrics and ROI).

Resilience and adaptability in ambiguous, fast-moving environments.

Ability to mentor and coach colleagues when needed.

Job Types: Full-time, Permanent

Pay: Up to ?2,200,000.00 per year

Schedule:

Monday to Friday
Experience:

Total Work: 2 years (Required) Full-stack development: 1 year (Preferred)
Work Location: In person