AI Engineer

About this role

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Skills you'll use

What you'll do

• LLM-led Innovation: Build and deploy LLM-powered tools and workflows that simplify analyst work, reduce errors, and accelerate delivery.
• Operational Transformation: Understand operational processes and create intelligent, scalable solutions that eliminate complexity and manual effort.
• Product Evolution: Partner with product and operations teams to infuse intelligence and automation into client-facing platforms.
• Client-Centric Design: Translate client pain points and product gaps into practical, data-driven AI solutions that enhance experience and outcomes.
• Rapid Experimentation: Prototype fast, test early, iterate often. Maintain speed without sacrificing accuracy or quality.
• Cross-Functional Collaboration: Work closely with engineering, product, client success, and operations teams to bring ideas to life.
• Own and operate data pipelines: Run, troubleshoot, and improve the scripts and workflows that move and transform our data—upgrading these to use workflow orchestration tools for robustness and automation.
• Work with LLMs: Fine-tune models, conduct reinforcement learning with human feedback (RLHF), and support preference-review workflows.
• Model evaluation & monitoring: Analyze results and report on the effectiveness of AI models and data labeling efforts using both established and novel benchmarks.
• Thematic extraction at scale: Help identify and surface underlying themes, narratives, and sentiment across vast media datasets.
• Metric innovation: Derive new ways to quantify media content and influence using observed patterns and domain insight.
• Collaborate & iterate: Partner closely with the key stakeholders (such as Lead Data Scientist, members of Engineering, Products & Operations team) to evolve our AIand ML-powered systems.
• Secure, scalable coding: Contribute high-quality, secure code in a cloud-based environment.

Who can apply

• Proven experience applying LLMs and generative AI to real-world business problems.
• Deep proficiency in Python, NLP, and AI frameworks (e.g., Hugging Face, LangChain), vector databases, and prompt engineering.
• Strong business acumen—able to connect technical solutions to operational and client value.
• Startup-style drive, agility, and hands-on mindset—you ship, not just ideate.
• Creativity and experimentation—willing to try, fail, and improve.
• Exceptional communication skills—can explain complex ideas simply and persuasively.
• Minimum 3–5 years of experience in AI/ML roles, preferably in B2B or SaaS environments.
• Bachelor's or Master's in Computer Science, Data Science, AI, or related field.
• Experience with AWS cloud services (EC2, S3, etc.)
• Familiarity with workflow orchestration tools
• Knowledge of media analytics, journalism, or influence measurement
• Prior work with data labeling, theme detection, or benchmarking model output

Perks & benefits

Interview & selection process

3 rounds — typical selection flow for this role:

1. 1Apply — submit your profile through SRKay's online portal
2. 2Screen — initial review and comprehensive phone screening
3. 3Interview — technical assessments and cultural-fit interviews
4. 4Offer

About SRKay Consulting Group

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